Recommendations for an EIR to prioritize Kern County Frontline Communities

 

Kern County Environmental Impact Report

As we have discussed in previous reports, Kern County is required to develop a new set of environmental impact report (EIR) requirements for permitting new oil and gas wells.

With this recent development, it is necessary to provide science-based recommendations for the EIR to prioritize the protection of the health of frontline communities. Frontline communities bear the most risk. Emissions from oil and gas infrastructure and exposure to water and soil contamination most affect those living closest. It is therefore vital for an EIR to institute protections that address these known and well-established sources of exposure. In addition, the EIR must prioritize a requirement by law that all regulatory information is equitably available and imparted to Frontline Communities; with Kern County, this means providing regulatory notices in Spanish, the predominantly spoken language in this area, according to household census data.

In preparation of the Kern County rule-making process, FracTracker Alliance has prepared new analyses of Kern County communities. These analyses have mapped and assessed the distribution of oil and gas wells within Kern County for proximity to sensitive receptors. This information is vital to understand how the “most drilled County” in the United States manages the risks associated with oil and gas extraction. According to CalGEM data updated September 1, 2020, there are 78,016 operational oil and gas wells countywide. Of these, 5,906 (7.6%) are within 2,500 feet of a sensitive receptor, receptors being homes, schools, healthcare facilities, child daycare facilities, and elderly care facilities. Thirty-six CHHS healthcare facilities and 35 schools in Kern County are within 2,500 feet of an operational oil and gas well. In fact, 646 operational wells are within 2,500 feet of a school in Kern County. Most of these at-risk, sensitive receptors are in Kern’s cities, large and small.

Table 1. Well Counts in Kern County

Most of the population of Kern County is in its cities. Unincorporated, rural areas of Kern County are in majority zoned for large estate landownership and agriculture, and have low population density, rather than designated for residential, single-family homes, apartments, developments, and mobile homes. Oil and gas extraction operations and well sites are dispersed throughout the county, including near and within the residentially-zoned areas of cities. Given that the county’s population density is highest in cities, these areas present the greatest public health risk for exposures to toxic emissions and spills from fossil fuel extraction operations. This analysis focuses specifically on the Frontline Communities of Kern County, where oil and gas extraction is occurring near city limits.

Table 2. Operational oil and gas well counts near cities and sensitive receptors.

Frontline Communities

These include Lost Hills, Lamont, Taft, Arvin, Shafter and Bakersfield. In Table 2 (above) are counts of operational wells within two miles of each city, along with demographic profiles for each incorporated/unincorporated city, based on American Community Survey (2013-2018) census data (downloaded from Census.gov). Population estimates are based on the ACS block groups. For block groups larger than city boundaries, the population was assumed to be within city limits, although in certain cases, such as Arvin, a small section of a block group was eliminated from the city demographic counts. This assumption is validated by the county and city zoning parcels. The maps below in Figures 1 – 6 show the municipal zoning parcels for these cities, with maps that include operational oil and gas wells. Note the proximity of residential- and urban-zoned parcels to oil and gas extraction in Kern County, and the difference in zoning between the cities and the rest of the county. Cities are zoned for residences, including apartments, single-family homes, and mobile homes. Most of the rest of the county is agriculture and estates, where predominantly wealthy residents and corporations own large holdings.

Figure 1. Municipal zoning boundaries of the City of Lost Hills.

 

Figure 2. Municipal zoning boundaries of the City of Lamont.

 

Figure 3. Municipal zoning boundaries of the City of Taft.

 

Figure 4. Municipal zoning boundaries of the City of Arvin.

 

Figure 5. Municipal zoning boundaries of the City of Shafter.

 

Figure 6. Municipal zoning boundaries of the City of Bakersfield.

Economic Disparity in Environmental Justice Communities

These six cities and their Frontline Communities experience a disparity of exposure to environmental pollutants, particularly emissions from oil and gas extraction operations — as well as pesticides, regionally degraded air quality (from ozone and particulate matter), and contaminated groundwater. Besides the risk disparity, these communities are also vulnerable from several other factors, including disparities in economic opportunity, demographics, and access to information.

Compared to the rest of Kern County, Frontline Communities in these unincorporated and incorporated cities have less financial opportunity. The maps in Figures 7 – 9 below show block groups and the proportions of the population with annual median incomes less than or equal to $40,000. This value was chosen because it is less than 80% of the countywide median income of $51,579 in 2018. For comparison, the statewide median income is $75,277. Lack of economic opportunity for these communities limits the ability to leverage financial resources to protect their community health and to maintain local-level financial independence from corporate influence. In Lost Hills, over 80% of the city block group closest to the Lost Hills Oil Field has a median income less than or equal to $40,000. The same trend is visible for Lamont, Taft, and Arvin. In Figure 9, the only section of Taft with higher annual median income is sparsely populated and predominantly open space, as confirmed in Figure 3. For the areas of Frontline Community block groups within 2,500 feet of an operational well, 36% of the population makes under $40,000; 80% of the Kern County annual median income is $41,000.

In the maps below, the American Community Survey data is summarized in percentages of one, where, for example, light orange (<.400) in the map refers to areas where 20% – 40% of the population’s annual median income is less than or equal to $40,000.

 

Table 3. Demographical Profile of each city, including the percentage of Spanish-speaking households and proportion of households with limited English proficiency.

 

Figure 7. Lost Hills income disparity: This map shows the population percentage with annual incomes of less than or equal to $40,000, which is less than 80% of the Kern median income of $51,579 (2018).

 

Figure 8. Lamont income disparity: This map shows the population percentage with annual incomes less than or equal to $40,000, which is less than 80% of the Kern median income of $51,579 (2018).

 

Figure 9. Taft income disparity: This map shows the population percentage with annual incomes less than or equal to $40,000, which is less than 80% of the Kern median income of $51,579 (2018).

 

Figure 10. Arvin income disparity: This map shows the population percentage with annual incomes less than or equal to $40,000, which is less than 80% of the Kern median income of $51,579 (2018).

Linguistic Isolation Disenfranchises Frontline Communities

Access to information is vital for representation. Without representation, communities have no power over their autonomy. Kern County’s Frontline Communities are denied this basic, but absolutely vital right. According to the U.S. Census, over 51% of Kern County is Hispanic, and the maps below show that the demographics of the Frontline Communities in these cities are regularly between 80 – 100% Hispanic. Additionally, the maps illustrate that the households in these communities are majority Spanish-speaking households, many with limited English proficiency (all persons aged five and older reported speaking English less than “very well”). Yet Kern County regulators only provide information, notices, and other materials in English. This linguistically segregates power in Kern County, limiting Spanish-speaking Kern residents and citizens from participating in local decision-making processes.

Using the five-year ACS census data (2018) clipped by the 2,500 feet well setback zone, I have calculated the percentage and number of Spanish-speaking households. For the areas of Frontline Community block groups within 2,500 feet of an operational well, 9,077 households (30.8%) speak Spanish as their primary language, and 1,900 households have limited access to proficient English translators.

Figure 11. Lost Hills Hispanic population demographics: This map shows the Hispanic percentage of the population. In these maps, the ACS data is summarized in percentages of one, where, for example, light orange (<.400) refers to areas where 20% – 40% of the population is Hispanic.

 

Figure 12. Lost Hills Spanish-speaking households: This map shows the percentage of the households that speak Spanish as their primary language. In these maps, the ACS data is summarized in percentages of one, where, for example, light orange (<.400) refers to areas where 20% – 40% of the households are Spanish speaking.

 

Figure 13. Lost Hills Limited English Spanish-speaking households: This map shows the household percentage that speak Spanish as their primary language, with limited English-speaking proficiency. In these maps, the ACS data is summarized in percentages of one, where, for example, light orange (<.400) refers to areas where 20% – 40% of the households are Spanish speaking and have limited English proficiency.

 

Figure 14. Lamont Hispanic population demographics: This map shows the Hispanic percentage of the population. In these maps, the ACS data is summarized in percentages of one, where, for example, light orange (<.400) refers to areas where 20% – 40% of the populations is Hispanic.

 

Figure 15. Lamont Spanish-speaking households: This map shows the percentage of the households that speak Spanish as their primary language. In these maps the ACS data is summarized in percentages of one, where, for example, light orange (<.400) refers to areas where 20% – 40% of the households are Spanish speaking.

 

Figure 16. Lamont Limited English Spanish-speaking households: This map shows the percentage of the households that speak Spanish as their primary language, with limited English-speaking proficiency. In these maps, the ACS data is summarized in percentages of one, where, for example, light orange (<.400) refers to areas where 20% – 40% of the households are Spanish speaking and have limited English proficiency.

 

Figure 17. Taft Hispanic population demographics: The map shows the Hispanic percentage of the population. In these maps the American Community Survey data is summarized in percentages of 1, where, for example, light orange (<.400) in the map below refers to areas where 20%-40% of the populations is Hispanic.

 

Figure 18. Taft Spanish-speaking households: This map shows the percentage of the households that speak Spanish as their primary language. In these maps, the ACS data is summarized in percentages of one, where, for example, light orange (<.400) refers to areas where 20% – 40% of the households are Spanish speaking.

 

Figure 19. Arvin Hispanic population demographics: This map shows the Hispanic percentage of the population. In these maps, the ACS data is summarized in percentages of one, where, for example, light orange (<.400) refers to areas where 20% – 40% of the populations is Hispanic.

 

Figure 20. Arvin Spanish-speaking households: This map shows the percentage of the households that speak Spanish as their primary language. In these maps, the ACS data is summarized in percentages of one, where, for example, light orange (<.400) refers to areas where 20% – 40% of the households are Spanish speaking.

 

Figure 21. Arvin Limited English Spanish-speaking households: This map shows the percentage of the households that speak Spanish as their primary language, with limited English-speaking proficiency. In these maps, the ACS data is summarized in percentages of one, where, for example, light orange (<.400) refers to areas where 20% – 40% of the households are Spanish speaking, with limited English proficiency.

 

Figure 22. Shafter Hispanic population demographics: This map shows the Hispanic percentage of the population. In these maps, the ACS data is summarized in percentages of one, where, for example, light orange (<.400) refers to areas where 20% – 40% of the populations is Hispanic.

 

Figure 23. Shafter Spanish-speaking households: This map shows the percentage of the households that speak Spanish as their primary language. In these maps, the ACS data is summarized in percentages of one, where, for example, light orange (<.400) refers to areas where 20% – 40% of the households are Spanish speaking.

 

Figure 24. Bakersfield Hispanic population demographics: This map shows the Hispanic percentage of the population. In these maps, the ACS data is summarized in percentages of one, where, for example, light orange (<.400) refers to areas where 20% – 40% of the populations is Hispanic.

 

Figure 25. Bakersfield Spanish-speaking households: This map shows the percentage of the households that speak Spanish as their primary language. In these maps, the ACS data is summarized in percentages of one, where, for example, light orange (<.400) refers to areas where 20% – 40% of the households are Spanish speaking.

Conclusions

These maps make it visually clear that the Frontline Communities near oil and gas extraction in Kern County are largely disenfranchised from the democratic process, a direct result of California’s regulatory agencies refusing to provide notices and other important documents and information in Spanish. Additionally, these same communities have limited options, due to economic disparities that make Kern County’s Frontline Communities the poorest in the state of CA. These two factors leveraged against communities prevent them from obtaining self-governance or autonomy over the industrialization occurring in and around their neighborhoods. Furthermore, the demarcations of census boundaries splitting the incorporated and unincorporated cities are essentially gerrymandered to disguise the blatant environmental inequities that exist in Kern County, in direct violation of the California Environmental Quality Act. Kern County must consider these injustices in the development of new environmental impact review requirements for oil and gas operators.

By Kyle Ferrar, Western Program Coordinator, FracTracker Alliance

Addendum

This report was revised on 12/13/20

The following addendum incorporates additional demographics data that more thoroughly describes Frontline Communities in Kern County. We focus on the Frontline Communities closest to intense oil extraction operations. This analysis prioritizes areas with substantial population density. Remote sensing (satellite imagery) data and direct knowledge of Kern County cities was used to define the sample areas for this analysis. These techniques and methods avoid the type of spatial bias that distorted the results of the environmental justice (EJ) analysis in the 2020 Kern County draft EIR (chapter 7 PDF pp.1292-1305).

2020 Kern County Draft EIR

The EJ analysis included in the 2020 Kern County Draft EIR uses the spatial bias of US census designated areas to generate false conclusions. The Draft EIR can do this in two ways:

First, the Draft EIR uses census tracts in the place of smaller census designated areas. The draft EIR states the county conducted, “an analysis of Kern County census tract five-year American Community Survey (ACS) demographic and poverty data for the period was conducted … and the five-year data is the most accurate form of ACS data, has the largest sample size, and is the only ACS data that covers tiny populations.” While this is true about the five-year data, the authors chose to analyze using census tracts, which are much too large to cover small populations. It is not clear why the authors would have chosen census tracts, rather than the higher resolution ‘census block groups’ ACS dataset, as both datasets are readily available from the US Census Bureau.

Additionally, the draft EIR limits the sociodemographic analysis to only census tracts that contain PLSS QTR/QTRS’s ranked as Tier 1, so that it does not include neighboring communities in different census tracts in the demographical analysis. As discussed in the draft EIR, Tier 1 areas contain four or more operational wells in a tiny area. The draft EIR explicitly states that Tier 1 Qtr(s) do not contain schools or healthcare facilities. This trend is not limited to just the Qtr/Qtr sections. The census tracts containing the Tier 1 sections contain very few sensitive receptors, like schools and healthcare facilities. This is because census tracts and other census designated areas are drawn specifically to differentiate between urban and rural/industrial areas. Census tracts containing oil fields cover large rural areas, and intentionally avoid areas with any significant population density. This results in donuts and other strange shapes, where communities in much smaller census tracts (by area) are enveloped by large rural census tracts containing oil fields. As shown in the maps below, this eliminates all communities with any real population density from the draft EIR EJ analysis, even though they are the communities nearest to the oil fields.

In the maps below, census tracts are compared to census block groups, to show the difference in size and nature of their spatial distribution. In most cases, census tracts encompassing populated areas are tiny, and limited to the urban boundaries of cities. In the cases of Shafter and Arvin, the residential census tracts are encircled by a different donut-shaped census tract, actually containing most of the operational wells and oil fields. While the census tracts of the Frontline Communities are within very short distances of operational oil and gas wells and major fields at large, most communities are not included in the Kern 2020 draft EIR EJ analysis. With Lost Hills, the city of Lost Hills is within the same census tract as the Lost Hills oil field and several other extensive oil fields. The city of Lost Hills is the closest community to oil extraction operations in the census tract, and the small city contains just over 50% of the total population within this massive census tract. But because of the sheer size of the census tract, demographics of this Frontline Community are diluted by the vast rural area of northwestern Kern County, which is higher income with demographics 10% less Latino. 

Map A1. Arvin Census Designated Areas. The map shows the city of Arvin and includes both census tracts and census block groups for comparison. It shows operational oil and gas wells in the map, along with 2,500’ buffers. This Frontline Community would be excluded in an analysis that only considers census tracts containing Tier 1 areas negatively impacted by oil and gas extraction operations. The census tracts that make up the majority of the city of Arvin are enveloped on all four sides by one larger census tract that contains most oil and gas wells.

 

Map A2. Shafter Census Designated Areas. The map shows the city of Shafter and includes both census tracts and census block groups for comparison. It shows operational oil and gas wells in the map, along with 2,500’ buffers. This Frontline Community would not be included in an analysis that only considers census tracts containing Tier 1 areas negatively impacted by oil and gas extraction operations. The census tract containing the North Shafter oil field forms a donut around the city of Shafter.

 

Map A3. Lost Hills Census Designated Areas. The map shows the city of Lost Hills and includes both census tracts and census block groups for comparison. It shows operational oil and gas wells, along with 2,500’ buffers. While the city of Lost Hills may be included in the 2020 Kern draft EIR EJ analysis, the results will not reflect the demographics of the community due to the incredibly large size of the census tract. It does not even entirely fit in the frame of this map!

Map A4. Bakersfield Census Designated Areas. The map shows the city of Bakersfield and includes both census tracts and census block groups for comparison. It shows operational oil and gas wells, along with 2,500’ buffers. This Frontline Community would not be included in an analysis that only considers census tracts containing Tier 1 areas negatively impacted by oil and gas extraction operations. The oil and gas wells in the Kern River, Kern Front and other oil fields make up their own unique census tract that also includes extensive areas of rural ‘estate’ zoned lands.

Demographics Analysis

In the initial report below we analyzed the demographics and linguistic isolation of communities who live within 2,500’ of operational oil and gas wells. We found that the urban census block groups closest to Kern’s major oil and gas fields are some of the most linguistically isolated regions in the country. Densely populated block groups near large oil fields in the cities of Lost Hills, Arvin, Lamont and Weepatch suffer from linguistic isolation, where up to 80% of households do not have a proficient english speaker. In the analysis that follows, we focus more on specific Frontline Communities. Generating county-wide statistics using census block groups could result in too much spatial bias. Census designated areas do not have enough uniformity, and those located in and near oil fields are large in area (though would still provide a more accurate picture in comparison to census tracts). Therefore the analyses that follow take a community-centric approach to more accurately describe the demographics of several of Kern’s largest, most populous, Frontline Communities.  

Shafter

The City of Shafter, California, is near over 100 operational wells in the North Shafter oil field, as shown below in the map in Figure 2. Technically, the wells are within a donut-shaped census block group (outlined in blue) that surrounds the limits of the urban census block groups (outlined in pink). Shafter’s population of nearly 20,000 is over 86% Latinx, but the surrounding “donut” with just 2,000 people is about 70% Latinx, much wealthier, and with very low population density. The other neighboring rural census areas housing the rest of the Shafter oil field wells follow this same trend. 

An uninformed analysis, such as the Kern County EIR, would conclude that the 2,000 individuals who live within the blue “donut” are at the highest risk, because they share the same census designated area as the wells. Notably, the only population center of this census block group (or census tracts, which follow this same trend) is at the opposite end of the block group, far from the Shafter oil field. Instead, the most at-risk community is the urban community of Shafter with high population density; the census block groups within the pink hole of the donut contain the communities and homes nearest the North Shafter field. 

Map A5. The City of Shafter, California is located just to the south of the North Shafter oil field. The map shows the 2,500’ setback distance in tan, as well as the census block groups in both pink and blue. Pink block groups show the urban case populations used to generate the demographic summaries. 

Lost Hills, Arvin, and Taft

The cities of Lost Hills, Arvin, and Taft are all very similar to Shafter. The cities have densely populated urban centers within or directly next to an oil field. In the maps below in Figures 3 readers can see the community of Lost Hills next to the Lost Hills oil field. Lost Hills, like the densely populated cities of Arvin and Taft, are located very close to large scale extraction operations. Census block groups that include the most affected area of Lost Hills, outlined in pink, while surrounding low population density census block groups are shown in blue. Most of the areas outlined in blue are zoned as “estate” and “agriculture” areas. The outlines of the city boundaries are also shown, along with 2,500’ and mile setback distances from currently operational oil and gas wells.

Lost Hills is another situation where a donut-shaped census area distorts the results of low resolution demographics assessments, such as the one conducted by Kern County in their 2020 Draft EIR (PDF pp. 1292-1305). Almost all of the wells within the Lost Hills oil fields are just outside of a 2,500’ setback, but the incredibly high density of extraction operations results in the combined impact of the sum of these wells on degraded air quality. While stringent setback distances from oil and gas wells are a necessary component of environmental justice, a 2,500’ setback on its own is not enough to reduce exposures and risk for the Frontline Community of Lost Hills. For these Frontline Communities, a setback needs to be much larger to reduce exposures. In fact, limiting a public health intervention to a 2,500′ setback requirement alone is not sufficient to address the environmental health inequities in Lost Hills, Shafter, and other similar communities.

Lost Hill’s nearly 2,000 residents are over 99% Latinx, and over 70% of the households make less than $40,000 in annual income (which is substantially less than the annual median income of Kern County households [at $52,479]). The map in Figure A6 shows that the Lost Hills public elementary school is within 2,500’ of the Lost Hills oil field and within two miles of over 2,600 operational wells, besides the 6,000 operational wells in the rest of the field. 

The City of Arvin has 8 operational oil and gas wells within the city limits, and another 71 operational wells within 2 miles. Arvin, with nearly 22,000 people, is over 90% Latinx, and over 60% of the households make less than $40,000 in annual income. 

Additionally the City of Taft, located directly between the Buena Vista and Midway Sunset Fields, has a demographic profile with a Latinx population at least 10% higher than the rest of southern Kern County. 

Lost Hills, Arvin, and Taft are among the most affected communities of Kern County and represent a large proportion of the Kern citizens at risk of exposure to localized air quality degradation from oil and gas extraction.

In these cases, if only census tract well counts are considered, like in the 2020 Kern County draft EIR, these Frontline Communities will be completely disregarded. Census tracts are intentionally drawn to separate urban/residential areas from industrial/estate/agricultural areas. The census areas that contain the oil fields are very large and sparsely populated, while neighboring census areas with dense population centers, such as these small cities, are most impacted by the oil and gas fields.

Map A6. The Unincorporated City of Lost Hills in Kern County, California is within 2,500’ of the Lost Hills Oil Field. The map shows the 2,500’ setback distance in tan, and the census block groups in both pink and blue. Pink block groups show the urban case populations used to generate the demographic summaries. 

Bakersfield

The City of Bakersfield is a unique scenario. It is the largest city in Kern County and as a result suburban developments surround parts of the city. Urban flight has moved much of the wealth into these suburbs. The suburban sprawl has occurred in directions including North toward the Kern River oil field, predominantly on the field’s western flank in Oildale and Seguro. In the map below in Map A7, these areas are located just to the north of the Kern River.

This is a poignant example of the development of cheap land for housing developments in an area where oil and gas operations already existed; an issue that needs to be considered in the development of setbacks and public health interventions and policies. This small population of predominantly white, middle class neighborhoods shares similar risks as the lower-income Communities of Color who account for most Bakersfield’s urban center. Even though these suburban communities are less vulnerable to the oppressive forces of systemic racism, real estate markets will continue to prioritize cheap land for development, moving communities closer to extraction operations. 

Regardless of the implications of urban sprawl and suburban development,it is important to not disregard environmental risks for all communities. The demographics of the at-risk areas of the city of Bakersfield are predominantly Non-white (31%) and Latinx (60%), particularly as compared to the city’s suburbs (15% Non-white and 26% Latinx). About 33,000 people live in the city’s northern suburbs, and another 470,000 live in Bakersfield’s urban city center just to the south of the Kern River oil field. The urban population of Bakersfield is exposed to the local and regional negative air quality impacts of the Kern River and numerous other surrounding oil fields making it a disparately impacted community.

Map A7. Map of the city of Bakersfield in Kern County, California between several major oil fields including the Kern Front oil field. The map shows the 2,500’ setback distance in tan, and the census block groups in both pink and blue. Pink block groups show the urban case populations used to generate the demographic summaries. 

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Health & Environmental Effects of Fracking

The Loyalsock Watershed Project

Testimony to PA DEP on Control of Methane & VOC Emissions from Oil and Natural Gas Sources

This testimony was provided by Shannon Smith, FracTracker Manager of Communications & Development, at the July 23rd hearing on the control of methane & VOC emissions from oil and natural gas sources hosted by the Pennsylvania Department of Environmental Protection (DEP).

My name is Shannon Smith and I’m a resident of Wilkinsburg, Pennsylvania. I am the Manager of Communications and Development at the nonprofit organization FracTracker Alliance. FracTracker studies and maps issues related to unconventional oil and gas development, and we have been a top source of information on these topics since 2010. Last year alone, FracTracker’s website received over 260,000 users. FracTracker, the project, was originally developed to investigate health concerns and data gaps surrounding Western Pennsylvania fracking.

I would like to address the proposed rule to reduce emissions of methane and other harmful air pollution, such as smog-forming volatile organic compounds, which I will refer to as VOCs, from existing oil and gas operations. I thank the DEP for the opportunity to address this important issue.

The proposed rule will protect Pennsylvanians from methane and harmful VOCs from oil and gas sources, but to a limited extent. The proposed rule does not adequately protect our air, climate, nor public health, because it includes loopholes that would leave over half of all potential cuts to methane and VOC pollution from the industry unchecked.

Emissions of the potent greenhouse gas methane and VOC pollution harm communities by contributing to the climate crisis, endangering households and workers through explosions and fires, and causing serious health impairments. Poor air quality also contributes to the economic drain of Pennsylvania’s communities due to increased health care costs, lower property values, a declining tax base, and difficulty in attracting and retaining businesses.

Oil and gas related air pollution has known human health impacts including impairment of the nervous system, reproductive and developmental problems, cancer, leukemia, depression, and genetic impacts like low birth weight.

One indirect impact especially important during the COVID-19 pandemic in 2020, is the increased incidence and severity of respiratory viral infections in populations living in areas with poor air quality, as indicated by a number of studies.

Given the available data, FracTracker Alliance estimates that there are 106,224 oil and gas wells in Pennsylvania. Out of the 12,574 drilled unconventional wells, there have been 15,164 cited violations. Undoubtedly the number of violations would be higher with stricter monitoring.

There is a need for more stringent environmental regulations and enforcement, and efforts to do so should be applauded only if they adequately respond to the scientific evidence regarding risks to public health. These measures are only successful if there is long-term predictability that will ultimately drive investments in clean energy technologies. Emission rollbacks undermine decades of efforts to shift industries towards cleaner practices. So, I urge the DEP to close the loophole in the proposed rulemaking that exempts low-producing wells from the rule’s leak inspection requirements. Low-producing wells are responsible for more than half of the methane pollution from oil and gas sources in Pennsylvania, and all wells, regardless of production, require routine inspections.

I also ask that the Department eliminate the provision that allows operators to reduce the frequency of inspections based on the results of previous inspections. Research does not show that the quantity of leaking components from oil and gas sources indicates or predicts the frequency or quantity of future leaks.

In fact, large and uncontrolled leaks are random and can only be detected with frequent and regular inspections. Short-term peaks of air pollution due to oil and gas activities are common and can cause health impairments in a matter of minutes, especially in sensitive populations such as people with asthma, children, and the elderly. I urge the Department to close loopholes that would exempt certain wells from leak detection and repair requirements, and ensure that this proposal includes requirements for all emission sources covered in DEP’s already adopted standards for new oil and gas sources.

Furthermore, conventional operators should have to report their emissions, and the Department should require air monitoring technologies that have the capacity to detect peaks rather than simply averages. We need adequate data in order to properly enforce regulations and meet Pennsylvania’s climate goals of decreasing greenhouse gas emissions by 80% by 2050.

Pine Creek compressor station FLIR camera footage by Earthworks (May 2019).

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COVID-19 and the oil & gas industry

COVID-19 and the oil and gas industry are at odds. Air pollution created by oil and gas activities make people more vulnerable to viruses like COVID-19. Simultaneously, the economic impact of the pandemic is posing major challenges to oil and gas companies that were already struggling to meet their bottom line. In responding to these challenges, will our elected leaders agree on a stimulus package that prioritizes people over profits?

Health Impacts of COVID-19 and Oil & Gas 

People living in areas with poor air quality may be more vulnerable to COVID-19, a disease that affects the lungs. Poor air quality is linked to higher rates of asthma and chronic obstructive pulmonary disease (COPD), even without a pandemic.

Air pollution from oil and gas development can come from compressor stations, condensate tanks, construction activity, dehydrators, engines, fugitive emissions, pits, vehicles, and venting and flaring. The impact is so severe that for every three job years created by fracking in the Marcellus Shale, one year of life is lost due to increased exposure to pollution. 

Yes, air quality has improved in certain areas of China and elsewhere due to decreased traffic during the COVID-19 pandemic. But despite our eagerness for good news, sightings of dolphins in Italian waterways does not mean that mother earth has forgiven us or “hit the reset button.”

Significant environmental health concerns persist, despite some improvements in air quality. During the 2003 SARS outbreak, which was caused by another coronavirus, patients from areas with the high levels of air pollution were twice as likely to die from SARS compared to those who lived in places with little pollution.

On March 8th, Stanford University environmental resource economist Marshall Burke looked at the impacts of air quality improvements under COVID-19, and offered this important caveat: 

“It seems clearly incorrect and foolhardy to conclude that pandemics are good for health. Again I emphasize that the effects calculated above are just the health benefits of the air pollution changes, and do not account for the many other short- or long-term negative consequences of social and economic disruption on health or other outcomes; these harms could exceed any health benefits from reduced air pollution.  But the calculation is perhaps a useful reminder of the often-hidden health consequences of the status quo, i.e. the substantial costs that our current way of doing things exacts on our health and livelihoods.”

This is an environmental justice issue. Higher levels of air pollution tend to be in communities with more poverty, people of color, and immigrants. Other health impacts related to oil and gas activities, from cancer to negative birth outcomes, compromise people’s health, making them more vulnerable to COVID-19. Plus, marginalized communities experience disproportionate barriers to healthcare as well as a heavier economic toll during city-wide lockdowns.

Financial Instability of the Oil & Gas Industry in the Face of COVID-19 

The COVID-19 health crisis is setting off major changes in the oil and gas industry. The situation may thwart plans for additional petrochemical expansion and cause investors to turn away from fracking for good.

Persistent Negative Returns 

Oil, gas, and petrochemical producers were facing financial uncertainties even before COVID-19 began to spread internationally. Now, the economics have never been worse

In 2019, shale-focused oil and gas producers ended the year with net losses of $6.7 billion. This capped off the decade of the “shale revolution,” during which oil and gas companies spent $189 billion more on drilling and other capital expenses than they brought in through sales. This negative cash flow is a huge red flag for investors.  

“North America’s shale industry has never succeeded in producing positive free cash flows for any full year since the practice of fracking became widespread.” IEEFA

 

Plummeting Prices

Shale companies in the United States produce more natural gas than they can sell, to the extent that they frequently resort to burning gas straight into the atmosphere. This oversupply drives down prices, a phenomenon that industry refers to as a “price glut.”

The oil-price war between Russia and Saudi Arabia has been taking a toll on oil and gas prices as well. Saudi Arabia plans to increase oil production by 2 – 3 million barrels per day in April, bringing the global total to 102 million barrels produced per day. But with the global COVID-19 lockdown, transportation has decreased considerably, and the world may only need 90 million barrels per day

If you’ve taken Econ 101, you know that when production increases as demand decreases, prices plummet. Some analysts estimate that the price of oil will soon fall to as low as $5 per barrel, (compared to the OPEC+ intended price of $60 per barrel). 

Corporate welfare vs. public health and safety

Oil and gas industry lobbyists have asked Congress for financial support in response to COVID-19. Two stimulus bills in both the House and Senate are currently competing for aid.

Speaker McConnell’s bill seeks to provide corporate welfare with a $415 billion fund. This would largely benefit industries like oil and gas, airlines, and cruise ships. Friends of the Earth gauged the potential bailout to the fracking industry at $26.287 billion. In another approach, the GOP Senate is seeking to raise oil prices by directly purchasing for the Strategic Petroleum Reserve, the nation’s emergency oil supply.

Speaker Pelosi’s proposed stimulus bill includes $250 billion in emergency funding with stricter conditions on corporate use, but doesn’t contain strong enough language to prevent a massive bailout to oil and gas companies.

Hopefully with public pressure, Democrats will take a firmer stance and push for economic stimulus to be directed to healthcare, paid sick leave, stronger unemployment insurance, free COVID-19 testing, and food security. 

Grasping at straws

Fracking companies were struggling to stay afloat before COVID-19 even with generous government subsidies. It’s becoming very clear that the fracking boom is finally busting. In an attempt to make use of the oversupply of gas and win back investors, the petrochemical industry is expanding rapidly. There are currently plans for $164 billion of new infrastructure in the United States that would turn fracked natural gas into plastic. 

Belmont Cracker Plant - Potential Petrochemical Infrastructure in the Ohio River Valley

The location of the proposed PTTGC Ethane Cracker in Belmont, Ohio. Go to this map.

There are several fundamental flaws with this plan. One is that the price of plastic is falling. A new report by the Institute for Energy Economics and Financial Analysis (IEEFA) states that the price of plastic today is 40% lower than industry projections in 2010-2013. This is around the time that plans started for a $5.7 billion petrochemical complex in Belmont County, Ohio. This would be the second major infrastructural addition to the planned petrochemical buildout in the Ohio River Valley, the first being the multi-billion dollar ethane cracker plant in Beaver County, Pennsylvania.

Secondly, there is more national and global competition than anticipated, both in supply and production. Natural gas and petrochemical companies have invested in infrastructure in an attempt to take advantage of cheap natural gas, creating an oversupply of plastic, again decreasing prices and revenue. Plus, governments around the world are banning single-use plastics, and McKinsey & Company estimates that up to 60% of plastic production could be based on reuse and recycling by 2050. 

Sharp declines in feedstock prices do not lead to rising demand for petrochemical end products.

Third, oil and gas companies were overly optimistic in their projections of national economic growth. The IMF recently projected that GDP growth will slow down in China and the United States in the coming years. And this was before the historic drop in oil prices and the COVID-19 outbreak.

“The risks are becoming insurmountable. The price of plastics is sinking and the market is already oversupplied due to industry overbuilding and increased competition,” said Tom Sanzillo, IEEFA’s director of finance and author of the report.

 

 

The Show’s Over for Oil & Gas 

Oil, gas, and petrochemical companies are facing perilous prospects from demand and supply sides. Increasing supply does not match up with decreasing demand, and as a result the price of oil and plastics are dropping quickly. Tens of thousands of oil and gas workers are being fired, and more than 200 oil and gas companies have filed for bankruptcy in North America in the past five years. Investors are no longer interested in propping up failing companies.

Natural gas accounts for 44% of electricity generation in the United States – more than any other source. Despite that, the cost per megawatt hour of electricity for renewable energy power plants is now cheaper than that of natural gas power plants. At this point, the economy is bound to move towards cleaner and more economically sustainable energy solutions. 

It’s not always necessary or appropriate to find a “silver lining” in crises, and it’s wrong to celebrate reduced pollution or renewable energy achievements that come as the direct result of illness and death. Everyone’s first priority must be their health and the health of their community. Yet the pandemic has exposed fundamental flaws in our energy system, and given elected leaders a moment to pause and consider how we should move forward.

It is a pivotal moment in terms of global energy production. With determination, the United States can exercise the political willpower to prioritize people over profits– in this case, public health over fossil fuel companies.

Top photo of petrochemical activity in the Houston, Texas area. By Ted Auch, FracTracker Alliance. Aerial assistance provided by LightHawk. 

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Compressor station within Loyalsock State Forest, PA.

Air Pollution from Pennsylvania Shale Gas Compressor Stations – REPORT

Air pollution from Pennsylvania shale gas compressor stations is a significant, worsening public health concern.

By Cynthia Walter, Ph.D.

Dr. Walter is a retired biology professor who has worked on shale gas industry pollution since 2009 through Westmoreland Marcellus Citizens Group, Protect PT and other groups. Contact: walter.atherton@gmail.com

Executive Summary

Compressor Stations (CS) in the gas industry are sources of serious air pollutants known to harm humans and the environment. CS are permanent facilities required to transport gases from wells to major pipelines and along pipelines. Additional operations and equipment located at CS also emit toxins. In the last 20 years, CS abundance and sizes have dramatically increased in shale gas extraction areas across the US. This report will focus on CS in and near Southwestern Pennsylvania. Numbers of CS there have risen more than tenfold in the last decade in response to well completions and pipelines after the local fracking boom began in 2005. For example, Westmoreland County, Pennsylvania, had two CS before 2005 and now has 50 CS corresponding with about 341 active shale gas wells. In Pennsylvania, state regulations allow CS to be as close as 750 feet from homes, schools, and businesses. Emission monitoring relevant to public health exposure is limited or absent.

Current Pennsylvania policies allow rapid CS expansion. Also, regulations do not address public health risks due to several major flaws. First, permits allow annual totals of emitted toxins using models that assume constant releases, but substantial emissions from CS occur in peaks that expose citizens to concentrations may impair health, ranging from asthma to cancer. Second, permits do not address the fact that CS simultaneously release many serious air toxins including benzene and formaldehyde, and particulates that carry toxins into lungs. This allowance of multiple toxin release does not reflect the well-established science that public health risks multiply when people are exposed to several toxins at once. Third, permit reviews rarely consider nearby known air pollution sources contributing to aggregate air toxin exposures that occur in bursts and continually. Fourth, permits do not require operators to provide public access to real-time reports of air pollutants released by CS and ambient air quality near CS.

Poor air quality causes harm directly, e.g. respiratory distress, and indirectly, e.g., through increased vulnerability to respiratory viruses. The annual cost of damages from air pollution from CS was estimated at $4 million-$24 million in Pennsylvania based on emissions from CS in 2011. These damages include harm to human and livestock health and losses of crops and timber. After 2011, CS and gas infrastructures continue to expand, with increasing air pollution and damages, especially in shale gas areas. These costs must be compared to the benefits of using alternative energy sources. For example, in a neighboring state, New York, shifting to renewable energy will save tens of billions of dollars annually in air pollution costs, prevent thousands of premature deaths each year, and trigger substantial job creation, based on peer-reviewed research using US government data.

Recommendations

  1. Constant air monitoring must occur at current compressor stations and nearby sites important to the public, such as schools. The peak concentrations and totals for substances relevant to public health must be recorded and made available to the public in real time.
  2. Air pollution from compressor stations must become an important part of measuring and modeling pollution exposures from all components of the shale gas industry.
  3. Permits for new compressor stations must be revised to better protect the public in ways including, but not limited to the following:
    • Location, e.g., increased general setback limits and expanded limits for sensitive sites such as schools, senior care facilities and hospitals
    • Emission limits for criteria air pollutants and hazardous air pollutants including Radon, especially limits for peak concentrations and annual totals
    • Monitoring air quality within the station, at the fence-line and in key sites nearby, such as schools, using information from air movement models to select locations and heights.
    • Limits for CS size based on aggregate pollution from other local air pollution sources.
  4. Costs of harm from CS and other shale gas activities must be compared to alternatives.

Table of Contents

Chemistry of Compressor Station Emissions

Health Effects of Compressor Station Emissions

Regional Air Toxins and Cancer Risk in Southwestern Pennsylvania

Measurements of Compressor Station Emissions

Compressor Station Locations

Costs of Compressor Stations and Air Pollution

Appendix – Compressor Station Locations in Westmoreland County, Pennsylvania

Chemistry of Compressor Station Emissions

CS emissions contribute major air pollutants to the total pollution from unconventional gas development (UCGD), but their role in regional air quality problems has not always been noted. In 2009, when UCGD operations were only a few years in this region and many CS had not yet been built, CS emissions were estimated to be a small component. Now, in 2020, gas transport requirements have increased, leading to many more and larger CS. The amounts of CS emissions have increased accordingly, based on estimates by Carnegie Mellon University atmospheric researcher, Robinson (Figure 1). Part of the reason that CS are such a major pollution source is that they run constantly, in contrast to machinery for well development and trucking that fluctuate with the market for new wells.

Relative contribution of compressor stations and other components of shale gas industry to Nitrous Oxides (NOx). Relative contribution of compressor stations and other components of shale gas industry to Volatile Organic Compounds (VOC).

Figure 1. Relative contribution of compressor stations and other components of shale gas industry to Nitrous Oxides (NOx) and Volatile Organic Compounds (VOC). Source: Clean Air Council- adapted from webinar by Alan Robinson.

 

Air pollutants in CS emissions vary substantially in chemistry and concentrations due to differences in equipment (Table 1). Emissions in CS can come from several types of sources described below.

  1. Engines: Compression engines powered with methane release nitrogen oxides (NOx), carbon monoxide (CO), volatile organic compounds (VOCs) and hazardous air pollutants (HAP). Diesel engines release those pollutants as well as sulfur dioxide (SO2) and substantial particulate matter. In addition, diesel storage on site is a hazard. Electric engines produce less pollutants, but they are much less common than fossil fuel engines in southwestern Pennsylvania. CS operators can vary the use of engines at a station, and therefore, emissions vary during partial or full shutdowns and start-up periods.
  2. Blowdowns: Toxic emissions dramatically increase during blowdowns, a procedure that is scheduled or used as needed to release the build-up of gases. Blowdown frequency and emissions vary with the rate of gas transport and the chemistry of transported gases. The full extent of emissions from any CS, therefore, is not known. Blowdowns can release a wide range of substances, and when flaring is used to burn off gases, the combustion creates new substances and additional particulates. Blowdowns are the most likely source of peaks in emissions at continuously operated CS. For example, Brown et al. (2015) used PA DEP measures of a CS in Washington County, Pennsylvania, alongside likely blowdown frequencies and weather models to predict peak emission frequency. They estimated nearby residents would experience over 118 peak emissions per year.
  3. Non-compression Procedures: CS facilities are often the location for equipment that separate gases, remove water and other fluids, and run pipeline testing operations called pigging. These activities can be constant or intermittent and release a wide range of substances which may or may not be included in estimates for a permit. In addition, some of the processing releases gases which are flared at the facility, thus releasing a range of combustion by-products and particulate pollution. For example, the Shamrock CS operated by Dominion Transfer Inc. includes equipment for dehydration, glycol processing and pigging. The Janus facility operated by EQT includes dehydration and flaring. Permitted emissions for those facilities are listed in Table 1.
  4. Storage Tank Emissions: CS often include storage tanks that hold substances known to release fumes. For example, the Shamrock CS was permitted to have an above ground storage tank of 3000 gallons for drip gas and a 1000-gallon tank for used oil, both of which release volatile organic compounds. The EQT Janus CS has two 8,820-gallon tanks. Gas releases from such tanks could be controlled and recorded by the operator or they could be unrecorded leaks.
  5. Fugitive emissions: Gas leaks, called fugitive emissions, occur readily from many components in CS facilities; such problems will increase as equipment ages. A study of CS stations in Texas is an example.

“In the Fort Worth, TX area, researchers evaluated compressor station emissions from eight sites, focusing in part on fugitive emissions. A total of 2,126 fugitive emission points were identified in the four month field study of 8 compressor stations: 192 of the emission points were valves; 644 were connectors (including flanges, threaded unions, tees, plugs, caps and open-ended lines where the plug or cap was missing); and 1,290 were classified as Other Equipment. The Other category consists of all remaining components such as tank thief hatches, pneumatic valve controllers, instrumentation, regulators, gauges, and vents. 1,330 emission points were detected with an IR camera (i.e. high-level emissions) and 796 emission points were detected by Method 21 screening (i.e. low-level emissions). Pneumatic Valve Controllers were the most frequent emission sources encountered at well pads and compressor stations.”

Eastern Research Group (2011).

Table 1. Examples of air pollutants allowed for release by compressor stations. Air pollutants (pounds/year) are estimates provided by the companies for permits in West Virginia and Pennsylvania in recent years. Total compressor engine horsepower (hp) is noted. Sources: Janus and Tonkin CS Permits at WV DEP website. Shamrock CS permit. Buffalo CS, Washington, Co PA – PENNSYLVANIA BULLETIN, VOL. 45, NO. 16 APRIL 18, 2015.

Pollutant  Term Janus (WV)

22,000 hp

Tonkin (WV)

4390 hp

Shamrock* (PA)

4140 bhp

Buffalo ** (PA) 20,000 hp + 5,000 bhp
Nitrogen Oxides NOx 254,400 248,000 170,000 155,800
Volatile Organic Compounds VOC 191,200   30,000  66,000  77,000
Carbon Monoxide CO 118,200   80,000 154,000 144,400
Sulfur Dioxide SO2   1,400       400  10,000   5,400
Hazardous Air Pollutants-Total HAP  48,200    3,280  19,400  30,000
   Formaldehyde   1,080  12,800  12,200
   Benzene      540
   Ethylbenzene        60
   Toluene      140
   Xylene      200
   Hexane      500
   Acetaldehyde      600
   Acrolein      160
Total Particulate Matter

(PM-2.5, PM-10-separate or combined)

PM 18,200  11,000  32,000 PM-10       32,000

PM-2.5      32,000

TOTAL TOXINS 631,600 372,680 417,400 444,600
Carbon Dioxide Equivalents CO2-e 29,298,000 27,200,000 367,000,000 214,514,000

 

Health Effects of Compressor Station Emissions

Several toxic chemicals are released by individual CS in amounts that range from a few thousand pounds to a quarter of a million pounds per year (Tables 1 & 2) as described below.

  • Nitrous Oxides (NOx) are often the largest total amount of emissions from fossil fuel machinery. In CS, these oxides are formed when a fossil fuel such as methane or diesel is combusted to produce the energy to compress and propel gases. NOx contribute to acid rain. Excess acids in rain lower the pH of waters, in some cases to levels that dissolve toxic metals in drinking water supplies. NOx also trigger the formation of ozone, a substance well known to impair lungs.
  • Ozone forms when oxygen reacts with nitrous oxides, carbon monoxide, and a wide range of volatile organic compounds. Ozone exposure can trigger asthma and heart attacks in sensitive individuals, and for healthy people, ozone causes breathing problems in the short term and eventual scarring of lungs and impaired function.
  • Volatile Organic Compounds (VOCs) are gaseous compounds containing carbon, such as benzene and formaldehyde. In air pollution regulation, the EPA lists many compounds as VOC, but excludes carbon dioxide, carbon monoxide, methane and butane. Many VOC’s are toxic in themselves (Tables 2, 3 and 4). Also, several VOC’s react to form ozone.  https://www.epa.gov/air-emissions-inventories/what-definition-voc
  • Carbon Monoxide (CO) is another product of fossil fuel combustion and another contributor to ozone formation. CO is directly toxic because it prevents oxygen from binding to the blood.
  • Sulfur Dioxide (SO2) adds to lung irritation. It also contributes to acid rain, lowering the pH of water and increasing the ability of toxic metals to dissolve in water supplies.
  • Hazardous Air Pollutants (HAP) include highly toxic substances such as formaldehyde and benzene, which are known carcinogens, as well as the other substances known to be emitted from CS (Tables 3 & 4). The EPA lists 187 substances as HAP, which include many VOC’s as well as some non-organic chemicals such as arsenic and radionuclides including Radon. (https://www.epa.gov/haps/initial-list-hazardous-air-pollutants-modifications)
  • Particulate Matter (PM) usually refers to particles in small size classes. Most state or federal regulations address measures of particles less than 10 microns (PM-10) and some monitoring systems separate out particles less than 2.5 microns (PM-2.5). Particles in either of those size ranges are not visible, but highly damaging because they travel deep into the lungs where they irritate tissues and impair breathing. Also, these tiny particles carry toxins from air into the blood passing through the lungs. This blood transports substances directly to the brain where toxins can quickly impair the nervous system and subsequently impact other organs. (https://www.epa.gov/pm-pollution/particulate-matter-pm-basics)

Health impacts from many of the substances released by CS are well-known in medical research. For example, many of the VOC and HAP compounds permitted for release by state agencies are known carcinogens (Table 3). Many of these substances also impact the nervous system as shown in the organic compounds measured in CS in PA and listed in Table 4. Also, a study of 18 CS in New York by Russo and Carpenter (2017) found that all 18 CS released substances with known impacts on the nervous system and total annual emissions were over five million pounds, among the highest of all types of emissions (Table 5). Russo and Carpenter also found high annual emissions of over five million pounds for substances known to be associated with each of the following other health problems: digestive problems, circulatory disorders, and congenital malformations.

Congenital defects were significantly more common for mothers living in a 10-mile radius of denser shale gas development in Colorado compared to reference populations (MacKenzie et al. 2014). Currie et al. (2017) examined over a million birth records in Pennsylvania and found statistically significant increased frequencies of low birth weight and negative health scores for infants born to mothers within 3 km of unconventional gas wells compared to matching populations more distant from shale gas developments. Such developments include a wide range of gas infrastructure including CS and also high truck traffic and fracking. One plausible mechanism for harm to developing babies is exposure to VOCs such as benzene, toluene and xylene associated with CS and well operations. These VOC’s are classified by the Agency for Toxic Substances and Disease Registry as known to cross the placental barrier and cause harm to the fetus including birth deformities.

In sum, CS are a significant source of air pollutants with direct and indirect impacts on health. One indirect impact especially important during the COVID-19 pandemic in 2020, is the increased incidence and severity of respiratory viral infections in populations living in areas with poor air quality. Ciencewicki, and Jaspers (2007) write, “a number of studies indicate associations between exposure to air pollutants and increased risk for respiratory virus infections.”

Table. 2. Health effects of air pollutants permitted for release by compressor stations.

Pollutant Health Effects
Particulate Matter Impairs lungs and transfers toxins into body when microscopic particles carry chemicals deep into lungs and release into bloodstream.
Nitrogen Oxides

Forms ozone that impairs lung function which can trigger asthma and heart attacks and scars lungs in the long term.

Forms acid rain that dissolves toxic metals into water supplies.

Volatile Organic Compounds Includes a wide variety of gaseous organic compounds, some of which cause cancer. Many VOC react to form ozone that impairs lungs as noted above.
Carbon Monoxide Blocks ability of blood to carry oxygen.

Also forms ozone that impairs lungs as noted above.

Sulfur Dioxide Irritates lungs, triggering respiratory and heart distress.

Forms acid rain that dissolves toxic metals into water supplies.

Hazardous Air Pollutants Category of various toxic compounds many of which impact the nervous system. Includes formaldehyde, benzene and several other carcinogens.
Total Toxins Sum of emissions of all toxins. Exposure to multiple toxins exacerbates harm directly through impairment of lungs and circulatory system and indirectly through injury to detoxification mechanisms, such as liver function.
Carbon Dioxide Equivalents A measure of the combined effects of greenhouse gases such as CO2 and Methane expressed in a standard unit equivalent to the heat trapping effect of CO2. Greenhouse gases trap heat and worsen climate change and related harm to health when increased air temperatures directly cause stress directly and indirectly accelerate ozone formation.

 

Table 3. Gas industry list of carcinogenicity rating for Hazardous Air Pollutants (HAPs) released by compressor stations in a factsheet prepared by EQT for Janus compressor, WV. 2015 Source: DEP.

Substance Type Known/Suspected Carcinogen Classification
Acetaldehyde VOC Yes B2-Probable Human Carcinogen
Acrolein VOC No Inadequate Data
Benzene VOC Yes Category A – Known Human Carcinogen
Ethyl-benzene VOC No Category D Not Classifiable
Biphenyl VOC Yes Suggested Evidence of Carcinogenic Potential
1,3 Butadiene VOC Yes B2-Probable Human Carcinogen
Formaldehyde VOC Yes B1- Probable Human Carcinogen
n-Hexane VOC No Inadequate Data
Naphthalene VOC Yes C- Possible human Carcinogen
Toluene VOC No Inadequate Data
2,3,4-Trimethlypentane VOC No Inadequate Data
Xylenes VOC No Inadequate Data

 

Table 4. Center for Disease Control list of health effects for volatile organic carbons measured by PA DEP near compressor station. Source: CDC.

Substance Exposure Symptoms Target Organs
Ethylbenzene Irritation to eyes and nose; nausea, headache; neuropath; numb extremities, muscle weakness; dermatitis; dizziness Eyes, skin, respiratory system, central nervous system, peripheral nervous system
n-Butane Drowsiness Central nervous system
n-Hexane Irritation to eyes, skin & respiratory system; headache, dizziness; nausea Eyes, skin, respiratory system, central nervous system
2-Methyl Butane n/a n/a
Iso-butane Drowsiness, narcosis, asphyxia Central nervous system

 

Table 5. Amounts of pollutants known to be associated with health impacts in a review of 18 New York compressor stations. Emissions were grouped and tallied based on their impacts on disorders classified by ICD codes as defined by the International Statistical Classification of Diseases and Related Health Problems (ICD), a medical classification list by the World Health Organization. Source: Copy of Table 3.17b, Russo and Carpenter 2017.

ICD-10 Facilities Chemicals Pounds
# Description ‘08 ‘11 ‘14 Tot ‘08 ‘11 ‘14 Tot 2008 2011 2014 Total
1 Q00-Q89 Congenital malformations and deformations 18 18 17 18 57 54 54 57 4,393,806 6,607,676 5,900,691 16,902,175
1.1 Q00-Q07 Nervous system 18 18 17 18 16 16 16 16 4,068,877 5,882,704 5,258,344 15,209,926
1.2 Q10-Q18 Eye, ear, face and neck 15 15 12 15 4 4 4 4 5,825 19,569 11,475 36,869
1.3 Q20-Q28 Circulatory system 18 18 17 18 10 10 10 10 4,269,779 6,336,905 5,651,896 16,258,581
1.4 Q30-Q34 Respiratory system 14 8 7 14 4 4 4 4 150 107 113 372
1.5 Q35-Q45 Digestive system 18 18 17 18 17 17 17 17 4,386,043 6,586,345 5,884,324 16,856,713
1.6 Q50-Q56 Genital organs 6 7 8 8 2 2 2 2 1,399 4,373 2,612 8,385
1.7 Q60-Q64 Urinary system 18 17 16 18 9 9 9 9 119,382 254,922 237,359 611,663
1.8 Q65-Q79 Musculoskeletal system 18 18 16 18 19 19 19 19 122,314 262,300 243,932 628,547
1.9 Q80-Q89 Other 18 18 17 18 55 52 52 55 2,124,445 3,614,575 3,413,375 9,152,395
2 Q90-Q99 Chromosomal abnormalities, nec 18 18 16 18 30 31 31 32 120,669 256,739 239,709 617,118
Q00-Q99 Total 18 18 17 18 57 56 56 59 4,393,806 6,607,676 5,900,691 16,902,175

Regional Air Toxins and Cancer Risk in Southwestern Pennsylvania

Cancer risks from HAPs have been elevated for many years in several areas of Southwestern PA, as noted in a map from 2005 (Figure 2), when most air pollution was from urban traffic and single sources such as coke works and unconventional gas development (UCGD) had just begun in the region. The cancer risk pattern changed by 2014 (Figure 3). The specific numbers of excess cancer risk predicted for each location cannot be compared between the two maps because each map was produced using different sources of information and models. The pattern, however, can be compared and shows that elevated cancer risk is now more widespread across Southwestern PA and no longer primarily in Allegheny County.

Cancer risk maps are constructed by the EPA office of National Air Toxics Assessment (NATA) using models of reported air toxics and their relationship to cancer as a risk factor, as defined by NATA: “A risk level of “N”-in-1 million implies that up to “N” people out of one million equally exposed people would contract cancer if exposed continuously (24 hours per day) to the specific concentration over 70 years (an assumed lifetime). This would be in addition to cancer cases that would normally occur in one million unexposed people.” (https://www.epa.gov/national-air-toxics-assessment/nata-glossary-terms) In the current context, the NATA models are useful to compare the relative differences in air quality from a public health perspective, assuming the data on air pollutants is complete.

Another, very different statistic regarding cancer is the rate of cancer, also called the incidence. This number is based on actual reported cases and applies to cancers that occur due to all causes. The cancer rate, therefore, is a much higher number than a risk factor. For example, according to the US Center for Disease Control, the annual rate of new cases of cancer in PA in 2016, the most recent year reported, was 482.5 per 100,000 people. Compared to other states, PA is among the ten states with the highest cancer incidence. In the US, one in four people die from cancer, placing it second to heart disease as a leading cause of death. (https://gis.cdc.gov/Cancer/USCS/DataViz.html). Compared to other nations, the US has the fifth highest cancer rate, with 352 new cases each year per 100,000 people. (https://www.wcrf.org/dietandcancer/cancer-trends/data-cancer-frequency-country)

Compressor station emissions contribute to air pollutants known to be associated with cancer. For example, in a review of emissions for 18 CS in New York, Russo and Carpenter (2017) found that most or all CS released substances associated with a wide range of cancers (Table 6). Up to 56 such chemicals were emitted in amounts that totaled over 1 million pounds each year.

Maps of cancer risk are likely to be under-reporting risk levels in both the amount rates of risk and also the locations. Cancer risks from serious air pollutants cannot be properly mapped for several reasons. First, reports on concentrations of HAP in emissions are limited. HAP emissions are in accounts required only from large facilities, and thus, smaller operations, such as many CS, are likely be ignored. Second, general air quality monitoring stations are limited in location and do not measure HAP. For example, the PA DEP maintains 47 air quality stations dispersed among over 60 counties (http://www.dep.state.pa.us/dep/deputate/airwaste/aq/aqm/pollt.html). Most stations report hourly measures of Ozone and PM-2.5, and only a handful also monitor one or more other substances such as CO, NOx, SO ₂ or H2S. One county in Southwestern PA has additional air quality stations. Allegheny has a county health department that maintains 17 stations to report real-time air quality based on Ozone, SO2 or PM-2.5 (https://alleghenycounty.us/Health-Department/Programs/Air-Quality/Air-Quality.aspx).

In sum, cancer risk estimates from air pollution fall short in the following ways:

  • Estimates of air quality do not reflect the reality of air pollution from CS as well as many other new sources such as increased truck traffic associated with shale gas development.
  • Tallies of annual emissions do not represent the actual exposures of individuals to pulses of toxins.
  • Models of air pollution and cancer are not sufficiently based on real world studies of impacts from multiple toxins in short and long-term exposures.

Cancer risk map in Southwestern Pennsylvania in 2005

Figure 2. Cancer risk map in Southwestern Pennsylvania in 2005 from the National Air Toxics Assessment program in the EPA. Total Lifetime Cancer Risk from Hazardous Air Pollutants (HAP) per million. Colors indicate yellow for 28-78, gold for 79-95, light orange for 99-148, orange for 149-271, bright orange for 272-517, and red for 518-744 excess cancer risk per million. (https://www.epa.gov/national-air-toxics-assessment)

Cancer risk map in Southwestern Pennsylvania in 2014 from the National Air Toxics Assessment in the EPA.

Figure 3. Cancer risk map in Southwestern Pennsylvania in 2014 from the National Air Toxics Assessment in the EPA. Facilities are locations where air quality information was available for modeling. Total Risk of cancer as a baseline was assumed to be 1 per 1,000,000.  Estimates of risk predict known air pollution sources alone will cause 1-24 excess cancers per million in Light Pink areas, 25-49 excess cancers per million in Gray areas, and 50-74 excess cancers per million in Blue areas. Source: EPA.

Table 6. Amounts of pollutants known to be associated with cancer in a review of 18 New York compressor stations. Emissions were grouped and tallied based on their impacts on disorders classified by ICD codes as defined by the International Statistical Classification of Diseases and Related Health Problems (ICD), a medical classification list by the World Health Organization. Source: Copy of Table 3b, Russo and Carpenter 2017.

 

ICD-10 Facilities Chemicals Pounds
# Code Description ‘08 ‘11 ‘14 Tot ‘08 ‘11 ‘14 Tot 2008 2011 2014 Total
1 C00-C97 Malignant neoplasms 18 18 17 18 53 54 54 56 744,394 1,679,621 1,583,745 4,007,761
2 C00-C14 Lip, oral cavity and pharynx 18 18 16 18 12 14 14 14 118,992 254,897 238,943 612,833
3 C15-C26 Digestive organs 18 18 16 18 37 38 38 38 121,690 258,670 241,866 622,227
4 C30-C39 Respiratory system and intrathoracic organs 18 18 17 18 36 37 37 38 740,798 1,673,574 1,579,882 3,994,254
5 C40-C41 Bone and articular cartilage 18 18 17 18 33 34 34 35 694,106 1,551,399 1,492,704 3,738,210
6 C43-C44 Skin 16 15 13 16 12 12 12 14 2,362 5,008 4,029 11,400
7 C45-C49 Connective and soft tissue 17 17 15 17 17 17 17 17 1,929 5,074 4,639 11,643
8 C50-C58 Breast and female genital organs 18 18 16 18 23 25 25 25 361,015 823,303 663,237 1,847,556
9 C60-C63 Male genital organs 18 17 16 18 12 13 13 13 111,217 233,176 224,147 568,541
10 C64-C68 Urinary organs 18 18 16 18 24 24 24 25 119,062 255,474 238,596 613,133
11 C69-C72 Eye, brain and central nervous system 18 18 16 18 20 20 20 20 121,282 258,655 241,954 621,892
12 C73-C75 Endocrine glands and related structures 18 17 16 18 10 10 10 10 112,911 235,120 225,269 573,300
13 C76-C80 Secondary and ill-defined 17 16 14 17 6 6 6 6 2,054 5,690 5,771 13,516
14 C81-C96 Malignant neoplasms, stated or presumed to be primary, of lymphoid, haematopoietic and related tissue 18 18 16 18 31 31 31 31 364,338 833,140 671,245 1,868,724
15 C97 Malignant neoplasms of independent (primary) multiple sites 0 0 0 0 0 0 0 0 0 0 0 0
16 D00-D09 In situ neoplasms 16 15 13 16 3 3 3 3 3,313 7,557 6,606 17,477
17 D10-D36 Benign neoplasms 17 17 14 17 27 27 27 27 12,499 35,013 23,068 70,580
18 D37-D48 Neoplasms of uncertain or unknown behavior 18 18 16 18 39 40 40 41 121,277 257,142 240,115 618,535

Measurements of Compressor Station Emissions

Studies of real-world concentrations of air pollutants from CS emissions are lacking, but some reports exist. Of these, a few records are in peer-reviewed studies, and cited in reviews such as Saunders et al. 2018.  A few published reports are described below. They all show the high variation over time for CS emissions and the occurrence of peak concentrations.

Macey et al. (2014) observed ambient air near CS contained toxins at concentrations that impair health. They collected grab samples of air from industrial sites including CS in Arkansas and Pennsylvania and analyzed them for toxins using EPA approved methods. Most of the CS studied in Arkansas (Table 6) and Pennsylvania (Table 7) released formaldehyde at amounts associated with a cancer risk from exposure to this substance of 1/10,000 which is equivalent to 100 times higher risk than the widely accepted baseline risk of 1 per million. This means the amounts of formaldehyde found near CS substantially increased the risk of cancer using well-established federal analyses (https://www.atsdr.cdc.gov/hac/phamanual/appf.html).  Some toxins Macey et al. recorded are less well studied than formaldehyde and benzene. For example, 1,3-butadiene is classified by the EPA as a known human carcinogen, but a calculation of cancer risk for this substance is lacking. Air samples in the Macey study were collected close to the CS (e.g., 30-42m) and at greater distances (e.g., 254-460m). Those distant samples were well beyond the 750-foot set-back rule for Pennsylvania. At all these distances, air movement modeling predicts that toxins released from a source such as a CS are likely to travel downwind within the air mass under most weather conditions, thus exposing residents near and further from CS. Many people, therefore, in homes, schools and businesses that are downwind of CS are likely to experience serious air toxins at concentrations that harm their health.

Air toxins were also measured by the Pennsylvania Department of Environmental Protection in 2010 in a variety of unconventional gas extraction facilities including one CS in Washington County, PA. Brown et al. (2015) reported these data, showing the concentrations that citizens could experience near a compressor station varied greater than tenfold within a day and among consecutive days (Table 8). The length of time for peak concentrations was unknown, but Brown et al. used a model of weather including wind patterns to estimate citizens are likely to experience 118 peak concentrations per year.

Goetz et al. (2015) sampled air in Marcellus shale regions of Pennsylvania for short periods (1-2.5 hrs.) at distances 480-1100 meters from eight CS, four with relatively small capacity (5,000-9,000 hp) and four with moderate capacity (14,000-17,000 hp). They found that each CS had a different pattern of relatively higher concentrations of some pollutants, such as NOX versus other pollutants, e.g., CO. Also, totals of all pollutants did not correlate with compressor engine capacity, probably because the CS they sampled include a mix of engines using fossil fuels and electric power. Goetz et al. concluded with recommendations for more comprehensive and longer-term monitoring to better understand air pollution from CS and all components in shale gas development.

Radionuclides in CS emissions are almost never measured, even though Marcellus shales are well known for containing elevated amounts of radiologic substances such as uranium, radium and radon. The only published report of testing for radionucleotides in CS emissions in PA was a test of a single CS emission for one period of time. In a review of radiation in shale gas industry components, the Pennsylvania Department of Environmental Protection (PA DEP) measured radon (Rn) in ambient air at one CS by deploying sample bags in four cardinal directions at the fence line at a height of 5 feet for 62 days. They reported Rn concentrations of 0.1-0.8 pCi/L, values they stated were within the range of outdoor air in the US.  (https://www.dep.pa.gov/Business/Energy/OilandGasPrograms/OilandGasMgmt/Oil-and-Gas-Related-Topics/Pages/Radiation-Protection.aspx)  Given the high variation of amounts of emissions from CS and variable chemistry in sources of gases released from combustion, blowdowns and leaks, frequent testing for radionucleotides should be standard in monitoring CS emissions.

Methane is the substance tracked most often in emissions from CS and other gas industry facilities because of its central role in operations, requirements to avoid explosive concentrations, and readily available measurement technology, in comparison to other substances emitted from CS. Although methane emissions from CS are not always correlated with amounts of other, more toxic emissions, patterns observed in plumes of methane from CS are likely to reflect elevated concentrations of other harmful substances from CS.

Nathan et al (2015) sampled methane emissions from one CS in the Barnett shale region using a sensor carried on a model aircraft. The open-path, laser sensor produced measures with a precision of 0.1 ppmv over short intervals, allowing researchers to see emission variation in time and space as the aircraft changed position. Based on 22 flights within a week period, they observed a substantial range in methane released from 0.3 – 73 g CH4 per second. These values calculate to 0.02 – 6.3 metric tons of methane per day, a range that matches that estimated by Goetz of 0.5 – 9 metric tons per day. In addition, Nathan et al. found high variability in concentrations at different heights, as the emission plumes shifted in response to wind velocity, direction and topography. They recommend caution in interpretations of ground-based emission monitors and called for more monitoring of air movements and emissions at different elevations.

Payne et al. 2017 confirmed these ideas when they mapped plumes of methane in CS in New York and Pennsylvania using a sensor capable of recording methane in parts per million (ppm) every 0.25 – 5 seconds. The sensor was located on a mobile unit that marked GPS location. They found high variability in the shape and extent of plumes. For example, one of most extensive plumes was recorded near Dimock, Pennsylvania in a locale with CS as the only major source of methane. Researchers recorded the highest concentrations of methane in the study, 22 ppm, at 500 m from the CS, with a second peak of 0.6 ppm noted over 1 km from the CS and elevated methane as far as 3 km from the site (Figure 4). Wind direction did not always predict the shape of the plume, but data collection was restricted by the path of the sensor and the transport vehicle (Figure 8). Most importantly, they found that …“during atmospheric temperature inversions, when near-ground mixing of the atmosphere is limited or does not occur, residents and properties located within 1 mile of a compressor station can be exposed to rogue methane from these point sources.” These residents are likely to also experience excess toxins from CS as well, especially under such weather conditions.

Exposure to peak concentrations of air pollutants have dramatic effects on health for several reasons. First, lungs carry toxins into the blood within seconds, and the blood quickly transfers compounds to the brain and other vital organs. Many of the substances released by compressor stations impact the central nervous system as seen in Table 3, and these toxins are released simultaneously. Citizens, therefore inhaling a plume of emissions will have impacts from the total of these compounds. The health impacts for these combined toxins are unknown, and especially of concern during pregnancy and child development. Exposure studies in animals and humans test individual substances and the Center for Disease Control and NIOSH use these to develop exposure guidelines for a healthy adult in a work-place. In contrast, residents near compressor stations will include citizens of all ages with various health conditions. For example, the American Lung Association determined that over 50% of the 360,000 residents of Westmoreland County are at greater risk for health impairment due to air pollution because they have one or more of these conditions: asthma, diabetes, heart disease, respiratory illness, advanced age (https://www.lung.org/our-initiatives/healthy-air/sota/key-findings/people-at-risk.html).

In sum, the research on CS emissions of methane, air pollutants such as NOx, and hazardous air pollutants such as formaldehyde and benzene, all indicate exposures to CS emissions pose a threat to public health, but the emissions have not yet been fully quantified and modeled. Documenting CS contributions to harmful ambient air quality is feasible, however. The published studies from as far back as 2011 indicate that instrumentation to record substances and weather are readily available. Activities within a station such as compressor function, blowdowns, venting and flaring are all recorded by operators, but such reports are not released to researchers or the public. The science of models that predict public health risks in response to air pollution exposure are highly developed. In sum, operators of CS have the technology to measure emissions and ambient air quality and scientists have the models, but lack of industry data prevents the public from knowing impacts from CS.

 

Table 6. Air toxins found in grab samples near Arkansas compressor stations including concentrations, the Agency for Toxic Substances and Disease Registry (ASTDR), Minimum Risk Level (MRL) exceedance, and the Environmental Protection Agency (EPA) Integrated Risk Information System (IRIS) cancer risk. Source: Copy of Table 4 from Macey et al. 2014.

State/ID County Nearest infrastructure Chemical Concentration (μg/m3) ATSDR MRLs

exceeded

EPA IRIS cancer risk exceeded
AR-3136-003 Faulkner 355 m from compressor Formaldehyde 36 C 1/10,000
AR-3136-001 Cleburne 42 m from compressor Formaldehyde 34 C 1/10,000
AR-3561 Cleburne 30 m from compressor Formaldehyde 27 C 1/10,000
AR-3562 Faulkner 355 m from compressor Formaldehyde 28 C 1/10,000
AR-4331 Faulkner 42 m from compressor Formaldehyde 23 C 1/10,000
AR-4333 Faulkner 237 m from compressor Formaldehyde 44 C, I 1/10,000
AR-4724 Van Buren 42 m from compressor 1,3-butadiene 8.5 n/a 1/10,000
AR-4924 Faulkner 254 m from compressor Formaldehyde 48 C, I 1/10,000

C = chronic; I = intermediate.

 

Table 7. Air toxins found in grab samples near Pennsylvania compressor stations including concentrations, the Agency for Toxic Substances and Disease Registry (ASTDR), Minimum Risk Level (MRL) exceedance, and the Environmental Protection Agency (EPA) Integrated Risk Information System (IRIS) cancer risk. Source: Copy of Table 5 from Macey et al. 2014

State

ID

County Nearest infrastructure Chemical Concentration (μg/m3) ATSDR MRLs

exceeded

EPA IRIS cancer risk exceeded
PA-4083-003 Susquehanna 420 m from compressor Formaldehyde 8.3 1/10,000
PA-4083-004 Susquehanna 370 m from compressor Formaldehyde 7.6 1/100,000
PA-4136 Washington 270 m from PIG launcha Benzene 5.7 1/100,000
PA-4259-002 Susquehanna 790 m from compressor Formaldehyde 61 C, I, A 1/10,000
PA-4259-003 Susquehanna 420 m from compressor Formaldehyde 59 C, I, A 1/10,000
PA-4259-004 Susquehanna 230 m from compressor Formaldehyde 32 C 1/10,000
PA-4259-005 Susquehanna 460 m from compressor Formaldehyde 34 C 1/10,000

C = chronic; A = acute; I = intermediate.

aLaunching station for pipeline cleaning or inspection tool.

 

Table 8. Variation in air pollutants measured in ug/cubic meter by PA DEP during two sampling times per day for three consecutive days near a compressor station in Southwest PA. Source: Copied from Table 1. Brown et al. 2015 based on data from Southwestern Pennsylvania Short Term Marcellus Ambient Air Sampling Report, Pennsylvania Department of Environmental Protection, Nov. 2010.

May 18 May 19                                 May 20
Chemical Morning Evening Morning Evening Morning Evening 3-day Average
Ethylbenzene No detect No detect 964 2015 10,553 27,088 13,540
n-Butane 385 490 326 696 12,925 915 5,246
n-Hexane No detect 536 832 11,502 33,607 No detect 15,492
2-Methyl Butane No detect 230 251 5137 14,271 No detect 6,630
Iso-butane 397 90 No detect 1481 3,817 425 2070

 

 

Methane emission plumes from compressor stations near Dimock, Pennsylvania Methane emission plumes from compressor stations near Springvale, Pennsylvania 

Figure 4. Methane emission plumes from compressor stations near Dimock, Pennsylvania (left) and Springvale, Pennsylvania (right). Source: Copied from Payne et al. 2017.

 

Compressor Station Locations

Prior to 2008, compressor stations were infrequent with one or a few per county broadly distributed across PA as part of gas transport from locations outside of PA (Figure 5). These pipelines were mainly an issue for public health in the case of explosions. Major transmission pipelines use pressures up to 1500 psi. Leaks, therefore, release large amounts of gas much of which is not noticed because it lacks the mercaptan odorant added to household methane. For example, the 30-inch Spectra gas pipeline that exploded in 2016 in Westmoreland County caused a hole 12 feet deep and1500 square feet in area and burned 40 acres. The PA DEP claimed to have measured air quality, but they did not arrive until long after the plume from the fire traveled downwind. This pipeline was transporting gas from one of the largest gas storage facilities in the country, the Sunoco Gas Depot in Delmont, Pennsylvania to New Jersey as part of over 9,000 miles of pipelines in the Texas Eastern system from the Gulf Coast to the Northeast. That section of pipeline was built in 1981 and had recently been increased in pressure, probably using older or newer compressors in nearby locations. Faulty joints between pipeline sections were blamed for the catastrophic release of gas. (Phillips, S. 2016. State Impact, NPR). Immediately after the explosion, while gas continued to pour out of the pipeline, emergency workers needed at least one hour to locate shut-off locations. In general, pipeline shut-offs are sited at compressors stations or at intervals along a pipeline.

CS abundance in counties with shale gas extraction increased over tenfold in the decade after 2005 when the gas industry obtained exemptions to the Clean Water Act and began unconventional gas extraction in Pennsylvania (Figure 6). Permit applications for new wells, pipelines and CS continue throughout southwest Pennsylvania. In PA, the Oil and Gas law states the following: “ In order to allow  for the reasonable development of oil and gas resources, a local ordinance … Shall authorize natural gas compressor stations as a permitted use in agricultural and industrial zoning districts and as a conditional use in all other zoning districts, if the natural gas compressor building meets the following standards:….(i) is located 750 feet or more from the nearest existing building or 200 feet from the nearest lot line, whichever is greater, unless waived by the owner of the building or adjoining lot;”  (Pennsylvania Statutes Title 58 Pa.C.S.A. Oil and Gas §3304). CS and many aspects of the shale gas industry are controlled by this state law.

Each stage of gas extraction involves emissions that can be close or far from the well pad. Most emissions involve diesel engines. Diesel engines are well-known to produce substantial amounts of VOC’s, NOx and particulate pollution (PM-2.5, PM-10). Well pad construction requires intense activity by diesel trucks and earth moving equipment. Well drilling uses diesel engines. From 3 – 5 million gallons of water are used for each fracking event and up to 300 truck visits are needed to transport water for the many wells that are not close to water supplies from piped sources. Trucks are used to transport the 1 – 2 million gallons of produced water that emerges from the well for disposal in injection wells likely to be distant from most wells. Additional waste is carried long distances as well, including drill cuttings and sludge. For example, shale gas industry waste was handled for years in Max Environmental, one of the largest industrial waste sites in the eastern US located in Yukon, Westmoreland County since the 1960’s. Within one mile of Yukon is Reserved Environmental, a waste facility with operations focused since 2008 on processing sludge from fracking into solid cakes to be trucked to other landfills. In sum, all stages of shale gas industry contribute to many poorly documented sources of air pollution likely to be near CS.

The density of CS in some areas such as southwest Pennsylvania impacts the local and regional air quality. For example, Westmoreland County has 50 CS and 341 shale gas wells (https://www.fractracker.org) and some neighboring counties have even more shale gas emission sources. People in Westmoreland County receive pollutants from shale gas activities in their immediate vicinity and additional air pollutants from CS and other industries in neighboring counties. Wind patterns shown in Figure 7 indicate Westmoreland County is frequently downwind from Washington County, a county with a very high density of shale gas operations, and Eastern Allegheny County where large industries such as coke works release substantial amounts of air pollutants.

Compressor Stations prior to 2008 and in around 2013

Figure 5. Compressor Stations prior to 2008 and in around 2013. Source: Copied from article by James Hilton in Pittsburgh Post-Gazette.

 Compressor Stations in Pennsylvania mapped in 2019

Figure 6. Compressor Stations in Pennsylvania mapped in 2019. Source: FracTracker Alliance. 2000.

Wind patterns at small airports around Pennsylvania

Figure 7. Wind patterns at small airports around Pennsylvania 1991-2005 showing predominant direction of wind and velocity in knots (Orange 0 – 4, Yellow 4 – 7, Turquoise 7 – 11, Medium Blue 11 – 17, Dark Blue 17 – 21). Source: The Pennsylvania State Climatologist.

Costs of Compressor Stations and Air Pollution

As permanent, constant sources of air and noise pollution and safety risks, CS add significant costs to communities. Poor air quality alone is well-established as an economic drain for a region due to many factors including increased health care, lower property values, a declining tax base, and difficulty in attracting new businesses or housing development. Litovitz et al. (2013) estimated that, compared to other activities of shale gas extraction, CS made up the majority of the annual emissions of important air toxins in 2011, and therefore a majority of the damages from air pollution, totaling 4 – 24 million dollars of the 7 – 32 million dollars of the aggregate air pollution damages from gas operations (Table 9).

Litovitz and others recognize that the costs of damages from the gas industry air pollution in 2011 may appear smaller than the state-wide impacts from other industries, such as coal burning power plants and coke production, but that appearance deserves a second look. First, shale gas extraction activities are concentrated in a few regions of Pennsylvania, and local air quality is most relevant to public health and local economics such as property values. Second, emissions from gas extraction in 2011 was only in its early stages in Pennsylvania and shale gas operations will expand greatly unless regulations change, while coal-fired power plants are declining due to the advanced age of most facilities. For example, in Westmoreland County, PA alone there are over 50 CS in 2020, the number currently in the entire state of New York, where unconventional gas development was suspended due, in large part, to concerns for public health. Costs from one aspect of an energy sector can be viewed in the context of economic and other benefits of alternative energy efforts. For example, Jacobson et al. (2013) estimated that shifting to clean, renewable energy in NY state would prevent 4000 premature deaths each year and save $33 billion/year through air pollution reductions that impact health care, crop production and other costs. Jacobson et al. used government data in their models regarding health benefits and also identified substantial job growth during and after the transition away from fossil fuels toward renewable energy. Pennsylvania has the potential to attain similar benefits in air quality, public health, savings and job growth gained from a shift to clean, renewable energy in place of fossil fuels.

Table 9.  a) Emissions from shale gas industry in 2011 throughout Pennsylvania in metric tons per year. b) Costs of damages due to air pollution from shale gas extraction in 2011 throughout Pennsylvania. Copied from Tables 5 and 6 in Litovitz et al. 2013.

a)

Activities VOC NOx PM2.5 PM10 SOx
(1) Transport 31–54 550–1000 16–30 17–30 0.82–1.4
(2) Well drilling and hydraulic fracturing 260–290 6600–8100 150–220 150–220 6.6–190
(3) Production 71–1800 810–1000 15–78 15–78 4.8–6.2
(4) Compressor stations 2200–8900 9300–18 000 280–1100 280–1100 0–340
Totalᵃ 2500–11 000 17 000–28 000 460–1400 460–1400 12–540

ᵃ These totals are reported to two significant figures, as are all intermediate emissions values in this document. The activity emissions may not exactly sum to the totals.

b)

Activities Timeframe Total regional damage for 2011 ($2011) Average per well or per MMCF damage ($2011)
(1) Transport Development $320 000–$810 000 $180–$460 per well
(2) Well drilling, fracturing Development $2 200 000–$4 700 0 $1 200-$2 700 per well
(3) Production Ongoing $290 000–$2 700 0 $0.27-$2.60 per MMCF
(4) Compressor stations Ongoing  $4 400 000–$24 000 000 $4.20-$23.00 per MMCF
(1)-(4) Aggregated Both $7 200 000–$32 000 000 NA

Major Studies Cited in Text:

Brown, David, Celia Lewis, Beth I. Weinberger and Heather Bonaparte. 2014. Understanding air exposure from natural gas drilling put air standards to the test. Reviews in Environmental Health. https://doi.org/10.1515/reveh-2014-0002

Brown, David, Celia Lewis and Beth I. Weinberger. 2015. Human exposure to unconventional natural gas development; a public health demonstration of high exposure to chemical mixtures in ambient air. Journal of Environmental Science and Health (Part A) 50: 460-472.

Ciencewicki, J. and I. Jaspers 2007. Air Pollution and Respiratory Viral Infection. Inhalation Toxicology 19:1135–1146, DOI: https://doi.org/10.1080/08958370701665434

Currie, J, M Greenstone and K Meckel. 2017. Hydraulic fracturing and infant health: New evidence from Pennsylvania.   Science Advances 2017;3:e1603021

Eastern Research Group, Inc. and Sage Environmental Consulting, LP. City of Fort Worth natural gas air quality study: final report. July 13, 2011. http://fortworthtexas.gov/gaswells/air-quality-study/final/

Goetz, J.D. E. Floerchinger, E., C. Fortner, J. Wormhoudt, P. Massoli, W. Berk Knighton, S.C. Herndon, C.E. Kolb, E. Knipping, S. L. Shaw, and P. F. DeCarlo. 2015. Atmospheric Emission Characterization of Marcellus Shale Natural Gas Development Sites. Environ. Sci. Technol. 49, 7012−7020. DOI: https://doi.org/10.1021/acs.est.5b00452

Jacobson, MZ, RW Howarth, MA Delucchi, ST Scobie, JH Barth, M Dvorak, M Klevze, H. Hatkhuda, B. Mirand, NA Chowdhury, R Jones, L Plano, AR Ingraffea. 2013. Examining the feasibility of converting New York State’s all-purpose energy infrastructure to one using wind, water, and sunlight. Energy Policy 57: 585-601.

Litovitz, A., A. Curtright, S. Abramzon, N. Burger and C. Samaras. 2013. Estimation of regional air-quality damages from Marcellus Shale natural gas extraction in Pennsylvania. Environ. Res. Lett. 8; 014017 (8pp) doi:10.1088/1748-9326/8/1/014017. https://iopscience.iop.org/article/10.1088/1748-9326/8/1/014017/meta

Macey, G.P., Breech, R., Chernaik, M. (2014) Air concentrations of volatile compounds near oil and gas production: a community-based exploratory study. Environ Health 13, 82 (2014). https://doi.org/10.1186/1476-069X-13-82

McKenzie, LM, G Ruisin, RZ Witter, DA Savitz, LS Newman, JL Adgate. 2014. Birth Outcomes and Maternal Residential Proximity to Natural Gas Development in Rural Colorado.  Environmental Health Perspectives Vol 22.  http://dx.doi.org/10.1289/ehp.1306722.

Nathan BJ, LM Golston, AS O’Brien , K Ross, WA Harrison, L Tao, DJ Larry, DR Johnson, AN Covington, NN Clark, MA Zondlo. 2015. Environ Sci Technol. 2015   Near-Field Characterization of Methane Emission Variability from a Compressor Station Using a Model Aircraft. Environ Sci Technol. 2015 Jul 7;49(13):7896-903 doi: 10.1021/acs.est.5b00705.

Payne, RA, P Wicker, ZL Hildenbrand, DD Carlton, and KA Schug. 2017. Characterization of methane plumes downwind of natural gas compressor stations in Pennsylvania and New York. Science of The Total Environment  580:1214-1221

Russo, PN and DO Carpenter 2017. Health Effects Associated with Stack Chemical Emissions from NYS Natural Gas Compressor Stations: 2008-2014 Institute for Health and the Environment, A Pan American Health Organization / World Health Organization Collaborating Centre in Environmental Health, University at Albany, 5 University Place, Rensselaer New York. Https://www.albany.edu/about/assets/Complete_report.pdf

Saunders, P.J., D. McCoy. R. Goldstein. A. T. Saunders and A. Munroe. 2018.   A review of the public health impacts of unconventional natural gas development Environ Geochem Health 40:1–57. https://doi.org/10.1007/s10653-016-9898-x

 

Appendix

Compressor Stations in Westmoreland Co. PA in Dec 2019, based on information from FracTracker Alliance, Pennsylvania Department of Environmental Protection Air Quality Report, and the Department of Homeland Security.

ID # Facility # Name/Operator Municipality Latitude Longitude Status
627743 645570 CNX GAS CO/HICKMAN COMP STA Bell Twp 40.5174 -79.5498 Active
693305 696606 PEOPLES TWP/RUBRIGHT COMP STA Bell Twp 40.5278 -79.5561 Active
626482 644726 CNX GAS CO/BELL POINT COMP STA Bell Twp 40.5413 -79.5338 Active
na na NORTH OAKFORD Delmont 40.4018 -79.5597 Active
714057 713241 RW GATHERING LLC/ECKER BERGMAN RD COMP STA Derry Twp 40.3533 -79.3028 Active
760724 752063 RE GAS DEV/ORGOVAN COMP STA Derry Twp 40.3857 -79.4019 Active
736807 732436 RW GATHERING LLC/SALEM COMP STA Derry Twp 40.3908 -79.3361 Active
714057 713241 RW GATHERING LLC/ECKER BERGMAN RD COMP STA Derry Twp 40.3533 -79.3028 Active
774714 766854 EQT GATHERING LLC/DERRY COMP STA Derry Twp 40.4511 -79.3161 Active
na na Layman Compressor, Range Resources Appalachia, LLC East Huntingdon 40.1113 -79.6345 Unknown
na na Key Rock Energy/LLC East Huntingdon 40.1228 -79.6489 Unknown
662759 673466 Kriebel Minerals Inc./Sony Compressor Station (Inactive) East Huntingdon 40.181 -79.5882 Unknown
662781 673477 Lynn Compressor, Kriebel Minerals Inc. East Huntingdon 40.1798 -79.5557 Unknown
636316 660570 Range Resources Appalachia/ Layman Compressor Station East Huntingdon 40.1086 -79.6359 Unknown
na na Keyrock Energy LLC/ Hribal Compresor Station, East Huntingdon, Pa. (active) East Huntingdon 40.1353 -7905653 Unknown
761545 752755 KeyRock Energy LLC/ Hribal Compressor Station (Active) East Huntingdon 40.1333 -79.55 Unknown
649767 663499 Range Resources Appalachia/Schwartz Comp. Station East Huntingdon 40.0879 -79.601 Unknown
652968 665874 TEXAS KEYSTONE/FAIRFIELD TWP COMP STA Fairfield Twp 40.3363 -79.1786 Active
557780 572987 EQUITRANS LP/W FAIRFIELD COMP STA Fairfield Twp 40.3333 -79.1167 Active
675937 683303 DIVERSIFIED OIL & GAS LLC/MURPHY COMP SITE Fairfield Twp 40.3362 -79.1122 Active
812881 806928 TEXAS KEYSTONE INC/ MURPHY COMP STA Fairfield Twp 40.3543 -79.1123 Active
na na SOUTH OAKFORD/Dominion Greensburg 40.365 -79.5585 Unknown
na na OAKFORD Greensburg 40.3848 -79.5489 Active
na na DELMONT Geensburg 40.382 -79.5554 Active
496667 626720 Silvis Compressor Station, Exco Resources Pa. Inc Hempfield 40.2022 -79.5526 Unknown
na na  Dominion Trans Inc., Lincoln Heights Hempfield Township 40.3004 -79.6193 Active
812660 806731 CNX Gas Co. LLC Hempfield Township 40.2957 -79.6277 Active
812661 806732 CNX Gas Co. LLC/ Jackson Compressor Station, Status: Active Hempfield Township 40.2931 -79.6119 Unknown
601521 626775 PEOPLES NATURAL GAS CO/ARNOLD COMP STA Lower Burrell City 40.3623 -79.4316 Active
812883 806930 TEXAS KEYSTONE INC/LOYALHANNA Loyalhanna Twp 40.4514 -79.4727 Inactive
na na J.B. TONKIN Murrysville Boro 40.4629 -79.6402 Active
815083 809310 HUNTLEY & HUNTLEY INC/BOARST COMP STA Murrysville Boro 40.4686 -79.6417 Inactive
735725 731655 MTN GATHERING LLC/10078 MAINLINE COMP STA Murrysville Boro 40.4708 -79.65 Active
241708 276314 Dominion Trans Inc/Jeannette Penn Township 40.3317 -79.5935 inactive
na 701239 DOMINION ENERGY TRANS INC/ROCK SPRINGS COMP STA Salem Twp 40.4052 -79.5546 Unknown
na na OAKFORD Salem Twp 40.4052 -79.5546 Unknown
465965 495182 EQT GATHERING/SLEEPY HOLLOW COMP STA Salem Twp 40.3634 -79.5426 Inactive
465965 495182 EQT GATHERING/SLEEPY HOLLOW COMP STA Salem Twp 40.3634 -79.5426 Inactive
483173 512126 COLUMBIA GAS TRANS CORP/DELMONT COMP STA Salem Twp 40.3871 -79.5638 Active
707759 708010 LAUREL MTN MIDSTREAM OPR LLC/SALEM COMP STA Salem Twp 40.3782 -79.4929 Active
459024 488214 CNX Gas Co./ Jacobs Creek Compressor Station, South Huntingdon Twp 40.1172 -79.6681 Unknown
634559 650802 Rex Energy I LLC/Launtz Unity Twp 40.3325 -79.4295 Unknown
na 668776 Keyrock Energy LLC/ Unity Compressor Station Unity Twp 40.2251 -79.5109 Unknown
na na Nelson/RE Gas Dev LLC UnityTwp 40.3378 -79.4348 Unknown
657366 66932 People’s Natural Gas/ Latrobe Compressor Station Unity Twp 40.3075 -79.4369 Inactive
812662 806733 CNX Gas Co. LLC, Troy Compressor Station Unity Twp na na Unknown
657366 564168 Dominion Peoples (Inactive) Unity Twp 40.3073 -79.4371 Inactive
815196 809457 HUNTLEY & HUNTLEY INC/WASHINGTON STATION Washington Twp 40.4967 -79.6206 Active
605562 629821 PEOPLES NATURAL GAS/MERWIN COMP STA Washington Twp 40.5083 -79.6203 Active
815203 809466 HUNTLEY & HUNTLEY INC/TARPAY STA Washington Twp 40.5222 -79.6186 Active
na na Mamont (CNX GAS CO/MAMONT COMP STA) Washington Twp 40.5046 -79.5862 Unkown
741197 735870 CONE MIDSTREAM PARTNERS LP/MAMONT COMP STA Washington Twp 40.5067 -79.5644 Active

 

Feature image of a compressor station within Loyalsock State Forest, PA. Photo by Brook Lenker, FracTracker Alliance, June 2016.

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Fracking Drilling rig in Washington County, Pennsylvania

Allegheny County Air Quality Monitoring Project

A recent study out of Carnegie Mellon University estimated that for every three job years created by fracking in the Marcellus Shale, one year of life is lost for a resident due to increased pollution exposure. As fracking continues to expand around the perimeter of Allegheny County, Pennsylvania — one of the top ten most polluted regions in the U.S. — we’re called to question how this industry is impacting the area’s already poor air quality. To answer this question, Southwest Pennsylvania Environmental Health Project (EHP), and FracTracker Alliance conducted a study on air quality around sites impacted by fracking development.

Over the course of this past year, we set up air monitors in seven communities in or near Allegheny County with current or proposed oil and gas infrastructure, with the goal of gathering baseline data and identifying possible public health concerns. 

The sites in question are mapped and described below.  Click on the arrow to scroll through maps of the different sites.

 

Study Areas:
  • North Braddock: Merrion Oil and Gas has proposed a fracking well on the property of the Edgar Thomson Steel Works, near where North Braddock, East Pittsburgh, and North Versailles meet.
  • Plum Borough: Penneco has proposed to build a wastewater disposal well in Plum Borough. We placed three monitors at homes in areas where the air is likely to be impacted by construction and truck traffic should the wastewater disposal well be installed. 
  • Economy Borough (Beaver County): We monitored around PennEnergy Resource’s B50 well pad, which recently began construction. Of particular concern to residents is the increase in truck traffic along a narrow road in a residential neighborhood that will be used to access the well pad.
  • Frazer Township: Monitoring took place around the Gulick, Schiller, and Bakerstown well pads. During their monitoring period, there was reported fracking activity on one well, and drilling activity on another.
  • Elizabeth Township: Monitoring occurred around three EQT and Olympus Energy fracked well pads listed as active; fracking reportedly occurred on one well pad during the monitoring period.
  • Indiana Township: Monitoring followed the construction of the Miller Jr. fracked well pad.
  • Stowe Township: Monitoring occurred in Stowe Township, where McKees Rocks Industrial Enterprise (MRIE) is located, and in adjacent McKees Rocks. This facility processes and transports frac sand, which operators use to frack a well by injecting it at extremely high pressures underground.

View a map of the study areas | How FracTracker maps work

 

 

Allegheny’s air – from bad to worse

In recent years, the air quality in the Pittsburgh metropolitan area, which had been improving since 2005, began to worsen. According to the 2019 State of the Air report, levels of ozone and particle pollution increased over 2015-2017 (Figure 1).

PM2.5 graph

Figure 1. Levels of 24-hour PM2.5 in Allegheny County, from the American Lung Association’s 2019 State of the Air Report

This fact echoes a nationwide trend. Another study out of Carnegie Mellon University found that after several years of improvement, air pollution in the United States worsened in 2017 and 2018. The study cited several possible explanations, including increased natural gas production, more wildfires, and a rollback on Clean Air Act regulations by the EPA.

While Allegheny County’s air pollution is largely attributable to steel, coal, and chemical plants, in the last decade, the oil and gas industry has brought many new sources of pollution to the area. 

As of December, 2019, operators have drilled 163 fracking wells in the county (Table 1) and constructed nine compressor stations. Additional pollution caused by the oil and gas industry is attributable to the thousands of truck trips required to frack a well. 

Table 1. Fracked wells in Allegheny County by municipality

Data from the Pennsylvania Department of Environmental Protection (PA DEP), which defines gas wells as unconventional (fracked) or conventional.

The fracking process releases emissions that can affect human health at every stage of its lifespan. Research has linked fracking to immediate health symptoms, such as burning eyes, sore throat, and headaches. Ongoing research has identified the potential for long term health impacts, such as cardiovascular disease and adverse birth outcomes. 

Air pollution from the oil and gas industry does not impact everyone equally. An individual’s response to exposure varies depending on factors such as age and health conditions. 

There is also a great deal of variation amongst wells and compressor stations when it comes to emissions. As such, the best way to understand someone’s exposure is to monitor the places they frequent, such as the home, school, or workplace.

Types of Pollutants

The process of drilling and fracking a well releases a variety of pollutants, including particulate matter, volatile organic compounds (VOCs), and nitrous oxides (NOx). Table 2, below, shows reported emissions from gas wells in Allegheny County for 2017. 

Table 2. Reported emissions from Allegheny County gas wells in 2017, from the PA DEP
POLLUTANT Emission Amount (Tons)
2,2,4-Trimethylpentane 0.00093
Benzene 0.10466
Carbon Dioxide 22982.68774
CO 66.20016
Ethyl Benzene 0.00053
Formaldehyde 0.02366
Methane 714.90485
n-Hexane 0.16083
Nitrous Oxide 0.2332
NOX 270.81382
PM10 8.87066
PM2.5 8.74341
SOX 0.23478
Toluene 0.04636
VOC 21.68682
Xylenes (Isomers And Mixture) 0.03487

Our study looked at particulate matter (PM) – a mix of solid particles and liquids found in the air, like dust, soot, and smoke. Specifically, the study focused on PM2.5, which are particles less than 2.5 microns in diameter (Figure 2). PM forms during construction activities, combustion processes such as those in diesel engines, and from industrial sites and facilities. 

Fracking and its associated processes release hazardous chemicals into the air, which then attach to PM2.5. Additionally, combustion engines of trucks and machinery used to construct well sites and drill wells release diesel emissions, including PM2.5. Compressor stations and flaring are additional sources. 

PM2.5 is small enough to enter our lungs and bloodstream and therefore poses a great risk to human health. Their health impacts include reduced lung function and cardiovascular disease, as well as short term effects such as sinus irritation.

Diagram of particulate matter relevant to air pollution

Figure 2. Particulate matter diagram, from the US EPA

Methods & Parameters for Analyzing Air Quality

Over the course of 2019, we placed 3-4 air monitors at participants’ households in each community for roughly a one-month period. Many of our participants were members of or identified by grassroots community groups, including North Braddock Residents for Our Future, Allegheny County Clean Air Now, Protect Elizabeth Township, and Protect PT

The monitors were placed at varying distances and directions from the facility in question, not exceeding 1.5 miles from the facility in question. We used Speck monitors indoors and Purple Air monitors outdoors; both types measured the concentration of particulate matter over roughly one month. 

The EPA’s guideline for exposure to PM2.5 is 35 μg/m3 averaged over 24 hours. However, averaging exposure over 24 hours can obscure peaks- relatively short time spans of elevated PM2.5 concentrations. While it is normal for peaks to occur occasionally, high, long, or frequent peaks in pollution can affect people’s health, particularly with acute impacts such as asthma attacks. 

Results

The graphs below show our results. On each graph, you’ll see three to five lines, one for each outdoor monitor. Lines that follow similar trends show data that is likely an accurate representation of air quality in the community. Lines that stray from the pack may represent a unique situation that only that house is experiencing.

In addition to graphing the results, EHP used the following parameters to analyze the data:

      1. Frequency of peaks 
      2. Duration of peaks
      3. Time between peak exposures 
      4. Baseline (level of particles generally found outside when peaks are not occurring)
      5. Total sum (or quantity) of peak exposure

These five parameters were compared to EHP’s data gathered from roughly 400 sites in Ohio, West Virginia, New York, and Pennsylvania. This database compiles air quality data from locations that have no infrastructure present as well as nearby sites such as well pads, compressor stations, frac-sand terminals, processing facilities, etc. 

In the table below, numbers in green indicate values that are better than EHP’s averages, while red values show values that are worse than the average of EHP’s dataset. Black numbers show values that are average. 

 

Table 3. EHP/FracTracker sites of air quality investigation in Allegheny County

Table of Allegheny County Air Quality Study Results

*The proposed well is near the intersection of East Pittsburgh, North Braddock, and North Versailles

**Monitors were also placed in neighboring McKees Rocks

~In homes where baseline levels of PM2.5 are low, such as in Frazer and Economy, peaks are more easily registered in our analysis, but they typically have a smaller magnitude compared to homes that have high baselines.

Discussion

Communities with proposed sites

In North Braddock and Plum Borough, the outdoor air monitors collected data around sites of future and/or proposed activity. This baseline monitoring helps us understand what the air is like before oil and gas activity and is essential for understanding the future impact of oil and gas development in a community. 

In these neighborhoods, we found worse than average values for total accumulation of PM2.5. This may be due to other patterns of PM2.5 movement in the area related to weather and surrounding sources of pollution. North Braddock is an urban environment, and therefore has pollution from traffic and buildings. Another source is the Edgar Thomson Steel Works, one of the county’s top polluters. While Plum Borough is more rural, it also contains an active fracking well pad and is near a coal-fired power plant and a gas power plant.

If constructed, the proposed fracking well and the proposed wastewater disposal well will add additional pollution from construction, truck traffic, and in North Braddock’s case, emissions from the well itself. This may pose a significant health risk, especially in vulnerable populations like children and those with preexisting health conditions.

Communities with constructed well pads

Emissions vary across the timeline of drilling and fracking a well. Figure 2 below shows reported emissions of PM2.5 and VOCs from different components of a fracking operation. PM2.5 emissions are highest during drilling (when the well bore is formed) and completion (when the well is fracked by injecting high volumes of water, sand, and chemicals at tremendous pressure). For a step by step outline of the fracking process, check out FracTracker’s fracking operation virtual tour.

Gas Well Emissions by Source

Figure 2. 2017 emissions from Allegheny County gas wells at different stages in the fracking process, reported to the PA DEP

Our monitoring in Economy Borough, where construction on PennEnergy Resources’ B50 well pad had just begun, showed air quality that is better than EHP’s averages. However, if the wells on the well pad are drilled and fracked, EHP hopes to provide monitors again to track changes in air quality. In addition to emissions from the fracking well, which is close to the Chestnut Ridge housing development, residents are concerned about truck traffic along Amsler Ridge Road.

In Indiana, while residents reported truck traffic to the site, the wells were not fracked during the monitoring period. The measurements were average or slightly above the average EHP typically sees near homes. Looking at these results, peak duration was flagged, and the total sum of particulate matter was slightly elevated compared to our average suggesting that the long durations may ignite a health response in sensitive individuals. Other sources that could be contributing to pollution include the PA Turnpike and the Redland Brick manufacturer.

In Frazer, there was reported fracking activity on one well and drilling activity on another; these time periods were only slightly elevated on the hourly average charts. Monitors were left at two households in Frazer because there was an indication that fracking would start soon. 

In Elizabeth Township, air quality measurements were generally better compared to the rest of EHP’s data, but there were clear peaks that all monitors registered which generated a similar, if not potentially higher, amounts of accumulated PM2.5.

Frac sand facility

Finally, monitors around MRIE, the frac sand processing facility in Stowe Township, showed air quality that may pose a health risk. The peaks in these neighborhoods generated a higher amount of accumulated PM2.5 and lasted longer compared to the rest of our data. In addition to pollution from MRIE and its associated trucks and trains, the neighborhood has many sources of pollution, including highways and industrial facilities on Neville Island. 

Limitations

This study is limited in that PM2.5 was the only pollutant that the Purple Air and Speck monitors captured. To understand the complete burden of air pollution residents are exposed to, other pollutants such as VOCs, must be monitored

Additionally, monitoring occurred over a short time period. Further investigations will need to monitor air quality throughout different stages of development and during different seasons in order to provide meaningful comparisons of changes in air quality that could be correlated with oil and gas development. EHP will continue to monitor around certain active sites to watch for changes in the data. 

Get Involved

If you’re concerned about health or environmental impacts from a well in your neighborhood, make sure to document the issue by taking notes, photos, and videos, and file a complaint with the state’s Department of Environmental Protection. To report an environmental health concern, reach out to the Department of Health by phone at 1-877 PA Health (1-877-724-32584) or email (RA-DHENVHEALTH@pa.gov). If you’re an employer or worker and have health or safety concerns, reach out to your area’s OSHA office or call 1-800-321-OSHA (6742).

While cleaning up the air in your community is difficult, there are steps you can take to protect the air in your home. With the average American spending 90% of their time indoors, the air inside can greatly impact your health. For this project, we also set up air monitors in residents’ homes so participants could better understand these risks. Visit EHP’s resources under the section “What You Can Do” to learn more about protecting your indoor air quality.  To learn more about how fracking is impacting residents in southwest Pennsylvania, explore the Environmental Health Channel

Finally, help us crowdsource new data on the impacts and status of oil and gas development in your community by reporting what you see, hear, smell, and question on the FracTracker mobile app (also available from your computer!). Those living near oil and gas infrastructure are the best source of knowledge when it comes to understanding the impacts of this industry. With your help, we want to make sure all of these impacts are being documented to inform decision makers and residents about the risks of fracking.

Many thanks to the Southwest Environmental Health Project for including us as collaborators on this study.

By Erica Jackson, Community Outreach and Communications Specialist

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Wildness Lost – Pine Creek

https://www.kvpr.org/post/dormant-risky-new-state-law-aims-prevent-problems-idle-oil-and-gas-wells

Idle Wells are a Major Risk

Designating a well as “idle” is a temporary solution for operators, but comes at a great economic and environmental cost to Californians 

Idle wells are oil and gas wells which are not in use for production, injection, or other purposes, but also have not been permanently sealed. During a well’s productive phase, it is pumping and producing oil and/or natural gas which profit its operators, such as Exxon, Shell, or California Resources Corporation. When the formations of underground oil pools have been drained, production of oil and gas decreases. Certain techniques such as hydraulic fracturing may be used to stimulate additional production, but at some point operators decide a well is no longer economically sound to produce oil or gas. Operators are supposed to retire the wells by filling the well-bores with cement to permanently seal the well, a process called “plugging.”

A second, impermanent option is for operators to forego plugging the well to a later date and designate the well as idle. Instead of plugging a well, operators cap the well. Capping a well is much cheaper than plugging a well and wells can be capped and left “idle” for indefinite amounts of time.

Well plugging

Unplugged wells can leak explosive gases into neighborhoods and leach toxic fluids into drinking waters. Plugging a well helps protect groundwater and air quality, and prevents greenhouse gasses from escaping and expediting climate change. Therefore it’s important that idle wells are plugged.

While plugging a well does not entirely eliminate all risk of groundwater contamination or leaking greenhouse gases, (read more on FracTracker’s coverage of plugged wells) it does reduce these risks. The longer wells are left idle, the higher the risk of well casing failure. Over half of California’s idle wells have been idle for more than 10 years, and about 4,700 have been idle for over 25 years. A report by the U.S. EPA noted that California does not provide the necessary regulatory oversite of idle wells to protect California’s underground sources of drinking water.

Wells are left idle for two main reasons: either the cost of plugging is prohibitive, or there may be potential for future extraction when oil and gas prices will fetch a higher profit margin.  While idle wells are touted by industry as assets, they are in fact liabilities. Idle wells are often dumped to smaller or questionable operators.

Orphaned wells

Wells that have passed their production phase can also be “orphaned.” In some cases, it is possible that the owner and operator may be dead! Or, as often happens, the smaller operators go out of business with no money left over to plug their wells or resume pumping. When idle wells are orphaned from their operators, the state becomes responsible for the proper plugging and abandonment.

The cost to plug a well can be prohibitively high for small operators. If the operators (who profited from the well) don’t plug it, the costs are externalized to states, and therefore, the public. For example, the state of California plugged two wells in the Echo Park neighborhood of Los Angeles at a cost of over $1 million. The costs are much higher in urban areas than, say, the farmland and oilfields of the Central Valley.

Since 1977, California has permanently sealed about 1,400 orphan wells at a cost of $29.5 million, according to reports by the Division of Oil, Gas, and Geothermal Resources (DOGGR). That’s an average cost of about $21,000 per well, not accounting for inflation. From 2002-2018, DOGGR plugged about 600 wells at a cost of $18.6 million; an average cost of about $31,000.

Where are they?

Map of California’s Idle Wells


View map fullscreen | How FracTracker maps work

The map above shows the locations of idle wells in California.  There are 29,515 wells listed as idle and 122,467 plugged or buried wells as of the most recent DOGGR data, downloaded 3/20/19. There are a total of 245,116 oil and gas wells in the state, including active, idle, new (permitted) or plugged.

Of the over 29,000 wells are listed as idle, only 3,088 (10.4%) reported production in 2018. Operators recovered 338,201 barrels of oil and 178,871 cubic feet of gas from them in 2018. Operators injected 1,550,436,085 gallons of water/steam into idle injection wells in 2018, and 137,908,884 cubic feet of gas.

The tables below (Tables 1-3) provide the rankings for idle well counts by operator, oil field, and county (respectively).  Chevron, Aera, Shell, and California Resources Corporation have the most idle wells. The majority of the Chevron idle wells are located in the Midway Sunset Field. Well over half of all idle wells are located in Kern County.

Table 1. Idle Well Counts by Operator
Operator Name Idle Well Count
1 Chevron U.S.A. Inc. 6,292
2 Aera Energy LLC 5,811
3 California Resources Production Corporation 3,708
4 California Resources Elk Hills, LLC 2,016
5 Berry Petroleum Company, LLC 1,129
6 E & B Natural Resources Management Corporation 991
7 Sentinel Peak Resources California LLC 842
8 HVI Cat Canyon, Inc. 534
9 Seneca Resources Company, LLC 349
10 Crimson Resource Management Corp. 333

 

Table 2. Idle Well Counts by Oil Field
Oil Field Count by Field
1 Midway-Sunset 5,333
2 Unspecified 2,385
3 Kern River 2,217
4 Belridge, South 2,075
5 Coalinga 1,729
6 Elk Hills 958
7 Buena Vista 887
8 Lost Hills 731
9 Cymric 721
10 Cat Canyon 661

 

Table 3. Idle Well Counts by County
County Count by County
1 Kern 17,276
2 Los Angeles 3,217
3 Fresno 2,296
4 Ventura 2,022
5 Santa Barbara 1,336
6 Orange 752
7 Monterey 399
8 Kings 212
9 San Luis Obispo 202
10 Sutter 191

 

Risks

According to the Western States Petroleum Association (WSPA) the count of idle wells in California has increased from just over 20,000 idle wells in 2015 to nearly 30,000 wells in 2018! That’s an increase of nearly 50% in just 3 years!

Nobody knows how many orphaned wells are actually out there, beneath homes, in forests, or in the fields of farmers. The U.S. EPA estimates that there are more than 1 million of them across the country, most of them undocumented. In California, DOGGR officially reports that there are 885 orphaned wells in the state.

A U.S. EPA report on idle wells published in 2011 warned that existing monitoring requirements of idle wells in California was “not consistent with adequate protection” of underground sources of drinking water. Idle wells may have leaks and damage that go unnoticed for years, according to an assessment by the state Department of Conservation (DOC). The California Council on Science and Technology is actively researching this and many other issues associated with idle and orphaned wells. The published report will include policy recommendations considering the determined risks. The report will determine the following:

  • State liability for the plugging and abandoning of deserted and orphaned wells and decommissioning facilities attendant to such wells
  • Assessment of costs associated with plugging and abandoning deserted and orphaned wells and decommissioning facilities attendant to such wells
  • Exploration of mechanisms to ameliorate plugging, abandoning, and decommissioning burdens on the state, including examples from other regions and questions for policy makers to consider based on state policies

Current regulation

As of 2018, new CA legislation is in effect to incentivize operators to properly plug and abandon their stocks of idle wells. In California, idle wells are defined as wells that have not had a 6-month continuous period of production over a 2-year period (previously a 5-year period). The new regulations require operators to pay idle well fees.  The fees also contribute towards the plugging and proper abandonment of California’s existing stock of orphaned wells. The new fees are meant to act as bonds to cover the cost of plugging wells, but the fees are far too low:

  • $150 for each well that has been idle for 3 years or longer, but less than 8 years
  • $300 for each well that has been idle for 8 years or longer, but less than 15 years
  • $750 for each well that has been idle for 15 years or longer, but less than 20 years
  • $1,500 for each well that has been idle for 20 years or longer

Operators are also allowed to forego idle well fees if they institute long-term idle well management and elimination plans. These management plans require operators to plug a certain number of idle wells each year.

In February 2019, State Assembly member Chris Holden introduced an idle oil well emissions reporting bill. Assembly bill 1328 requires operators to monitor idle and abandoned wells for leaks. Operators are also required to report hydrocarbon emission leaks discovered during the well plugging process. The collected results will then be reported publicly by the CA Department of Conservation. According to Holden, “Assembly Bill 1328 will help solve a critical knowledge gap associated with aging oil and gas infrastructure in California.”

While the majority of idle wells are located in Kern County, many are also located in California’s South Coast region. Due to the long history and high density of wells in the Los Angeles, the city has additional regulations. City rules indicate that oil wells left idle for over one year must be shut down or reactivated within a month after the city fire chief tells them to do so.

Who is responsible?

All of California’s wells, from Kern County to three miles offshore, on private and public lands, are managed by DOGGR, a division of the state’s Department of Conservation. Responsibilities include establishing and enforcing the requirements and procedures for permitting wells, managing drilling and production, and at the end of a well’s lifecycle, plugging and “abandoning” it.

To help ensure operator liability for the entire lifetime of a well, bonds or well fees are required in most states. In 2018, California updated the bonding requirements for newly permitted oil and gas wells. These fees are in addition to the aforementioned idle well fees. Operators have the option of paying a blanket bond or a bond amount per well. In 2018, these fees raised $4.3 million.

Individual well fees:

  • Wells less than 10,000 feet deep: $10,000
  • Wells more than 10,000 feet deep: $25,000

Blanket fees:

  • Less than 50 wells: $200,000
  • 50 to 500 wells: $400,000
  • 500 to 10,000 wells: $2,000,000
  • Over 10,000 wells: $3,000,000

With an average cost of at least $31,000 to plug a well, California’s new bonding requirements are still insufficient. Neither the updated individual nor blanket fees provide even half the cost required to plug a typical well.

Conclusions

Strategies for the managed decline of the fossil fuel industry are necessary to make the proposal a reality. Requiring the industry operators to shut down, plug and properly abandon wells is a step in the right direction, but California’s new bonding and idle well fees are far too low to cover the cost of orphan wells or to encourage the plugging of idle wells. Additionally, it must be stated that even properly abandoned wells have a legacy of causing groundwater contamination and leaking greenhouse gases such as methane and other toxic VOCs into the atmosphere.

By Kyle Ferrar, Western Program Coordinator, FracTracker Alliance

Cover photo: Kerry Klein, Valley Public Radio