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Methane Emissions from Natural Gas Gathering Pipelines in the Permian Basin
[Image: see text] The rapid reduction of methane emissions, especially from oil and gas (O&G) operations, is a critical part of slowing global warming. However, few studies have attempted to specifically characterize emissions from natural gas gathering pipelines, which tend to be more difficult...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9648336/ https://www.ncbi.nlm.nih.gov/pubmed/36398313 http://dx.doi.org/10.1021/acs.estlett.2c00380 |
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author | Yu, Jevan Hmiel, Benjamin Lyon, David R. Warren, Jack Cusworth, Daniel H. Duren, Riley M. Chen, Yuanlei Murphy, Erin C. Brandt, Adam R. |
author_facet | Yu, Jevan Hmiel, Benjamin Lyon, David R. Warren, Jack Cusworth, Daniel H. Duren, Riley M. Chen, Yuanlei Murphy, Erin C. Brandt, Adam R. |
author_sort | Yu, Jevan |
collection | PubMed |
description | [Image: see text] The rapid reduction of methane emissions, especially from oil and gas (O&G) operations, is a critical part of slowing global warming. However, few studies have attempted to specifically characterize emissions from natural gas gathering pipelines, which tend to be more difficult to monitor on the ground than other forms of O&G infrastructure. In this study, we use methane emission measurements collected from four recent aerial campaigns in the Permian Basin, the most prolific O&G basin in the United States, to estimate a methane emission factor for gathering lines. From each campaign, we calculate an emission factor between 2.7 (+1.9/–1.8, 95% confidence interval) and 10.0 (+6.4/–6.2) Mg of CH(4) year(–1) km(–1), 14–52 times higher than the U.S. Environmental Protection Agency’s national estimate for gathering lines and 4–13 times higher than the highest estimate derived from a published ground-based survey of gathering lines. Using Monte Carlo techniques, we demonstrate that aerial data collection allows for a greater sample size than ground-based data collection and therefore more comprehensive identification of emission sources that comprise the heavy tail of methane emissions distributions. Our results suggest that pipeline emissions are underestimated in current inventories and highlight the importance of a large sample size when calculating basinwide pipeline emission factors. |
format | Online Article Text |
id | pubmed-9648336 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-96483362022-11-15 Methane Emissions from Natural Gas Gathering Pipelines in the Permian Basin Yu, Jevan Hmiel, Benjamin Lyon, David R. Warren, Jack Cusworth, Daniel H. Duren, Riley M. Chen, Yuanlei Murphy, Erin C. Brandt, Adam R. Environ Sci Technol Lett [Image: see text] The rapid reduction of methane emissions, especially from oil and gas (O&G) operations, is a critical part of slowing global warming. However, few studies have attempted to specifically characterize emissions from natural gas gathering pipelines, which tend to be more difficult to monitor on the ground than other forms of O&G infrastructure. In this study, we use methane emission measurements collected from four recent aerial campaigns in the Permian Basin, the most prolific O&G basin in the United States, to estimate a methane emission factor for gathering lines. From each campaign, we calculate an emission factor between 2.7 (+1.9/–1.8, 95% confidence interval) and 10.0 (+6.4/–6.2) Mg of CH(4) year(–1) km(–1), 14–52 times higher than the U.S. Environmental Protection Agency’s national estimate for gathering lines and 4–13 times higher than the highest estimate derived from a published ground-based survey of gathering lines. Using Monte Carlo techniques, we demonstrate that aerial data collection allows for a greater sample size than ground-based data collection and therefore more comprehensive identification of emission sources that comprise the heavy tail of methane emissions distributions. Our results suggest that pipeline emissions are underestimated in current inventories and highlight the importance of a large sample size when calculating basinwide pipeline emission factors. American Chemical Society 2022-10-04 2022-11-08 /pmc/articles/PMC9648336/ /pubmed/36398313 http://dx.doi.org/10.1021/acs.estlett.2c00380 Text en © 2022 American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Yu, Jevan Hmiel, Benjamin Lyon, David R. Warren, Jack Cusworth, Daniel H. Duren, Riley M. Chen, Yuanlei Murphy, Erin C. Brandt, Adam R. Methane Emissions from Natural Gas Gathering Pipelines in the Permian Basin |
title | Methane Emissions
from Natural Gas Gathering Pipelines
in the Permian Basin |
title_full | Methane Emissions
from Natural Gas Gathering Pipelines
in the Permian Basin |
title_fullStr | Methane Emissions
from Natural Gas Gathering Pipelines
in the Permian Basin |
title_full_unstemmed | Methane Emissions
from Natural Gas Gathering Pipelines
in the Permian Basin |
title_short | Methane Emissions
from Natural Gas Gathering Pipelines
in the Permian Basin |
title_sort | methane emissions
from natural gas gathering pipelines
in the permian basin |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9648336/ https://www.ncbi.nlm.nih.gov/pubmed/36398313 http://dx.doi.org/10.1021/acs.estlett.2c00380 |
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