Literature DB >> 26148553

Constructing a Spatially Resolved Methane Emission Inventory for the Barnett Shale Region.

David R Lyon1,2, Daniel Zavala-Araiza1, Ramón A Alvarez1, Robert Harriss1, Virginia Palacios1, Xin Lan3, Robert Talbot3, Tegan Lavoie4, Paul Shepson4, Tara I Yacovitch5, Scott C Herndon5, Anthony J Marchese6, Daniel Zimmerle6, Allen L Robinson7, Steven P Hamburg1.   

Abstract

Methane emissions from the oil and gas industry (O&G) and other sources in the Barnett Shale region were estimated by constructing a spatially resolved emission inventory. Eighteen source categories were estimated using multiple data sets, including new empirical measurements at regional O&G sites and a national study of gathering and processing facilities. Spatially referenced activity data were compiled from federal and state databases and combined with O&G facility emission factors calculated using Monte Carlo simulations that account for high emission sites representing the very upper portion, or fat-tail, in the observed emissions distributions. Total methane emissions in the 25-county Barnett Shale region in October 2013 were estimated to be 72,300 (63,400-82,400) kg CH4 h(-1). O&G emissions were estimated to be 46,200 (40,000-54,100) kg CH4 h(-1) with 19% of emissions from fat-tail sites representing less than 2% of sites. Our estimate of O&G emissions in the Barnett Shale region was higher than alternative inventories based on the United States Environmental Protection Agency (EPA) Greenhouse Gas Inventory, EPA Greenhouse Gas Reporting Program, and Emissions Database for Global Atmospheric Research by factors of 1.5, 2.7, and 4.3, respectively. Gathering compressor stations, which accounted for 40% of O&G emissions in our inventory, had the largest difference from emission estimates based on EPA data sources. Our inventory's higher O&G emission estimate was due primarily to its more comprehensive activity factors and inclusion of emissions from fat-tail sites.

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Year:  2015        PMID: 26148553     DOI: 10.1021/es506359c

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  11 in total

1.  Reconciling divergent estimates of oil and gas methane emissions.

Authors:  Daniel Zavala-Araiza; David R Lyon; Ramón A Alvarez; Kenneth J Davis; Robert Harriss; Scott C Herndon; Anna Karion; Eric Adam Kort; Brian K Lamb; Xin Lan; Anthony J Marchese; Stephen W Pacala; Allen L Robinson; Paul B Shepson; Colm Sweeney; Robert Talbot; Amy Townsend-Small; Tara I Yacovitch; Daniel J Zimmerle; Steven P Hamburg
Journal:  Proc Natl Acad Sci U S A       Date:  2015-12-07       Impact factor: 11.205

2.  Unconventional oil and gas development and risk of childhood leukemia: Assessing the evidence.

Authors:  Elise G Elliott; Pauline Trinh; Xiaomei Ma; Brian P Leaderer; Mary H Ward; Nicole C Deziel
Journal:  Sci Total Environ       Date:  2016-10-23       Impact factor: 7.963

3.  Coupled Air Quality and Boundary-Layer Meteorology in Western U.S. Basins during Winter: Design and Rationale for a Comprehensive Study.

Authors:  A Gannet Hallar; Steven S Brown; Erik Crosman; Kelley Barsanti; Christopher D Cappa; Ian Faloona; Jerome Fast; Heather A Holmes; John Horel; John Lin; Ann Middlebrook; Logan Mitchell; Jennifer Murphy; Caroline C Womack; Viney Aneja; Munkhbayar Baasandorj; Roya Bahreini; Robert Banta; Casey Bray; Alan Brewer; Dana Caulton; Joost de Gouw; Stephan F J De Wekker; Delphine K Farmer; Cassandra J Gaston; Sebastian Hoch; Francesca Hopkins; Nakul N Karle; James T Kelly; Kerry Kelly; Neil Lareau; Keding Lu; Roy L Mauldin; Derek V Mallia; Randal Martin; Daniel Mendoza; Holly J Oldroyd; Yelena Pichugina; Kerri A Pratt; Pablo Saide; Phillip J Silva; William Simpson; Britton B Stephens; Jochen Stutz; Amy Sullivan
Journal:  Bull Am Meteorol Soc       Date:  2021-06-25       Impact factor: 9.116

4.  Evaluating the detectability of methane point sources from satellite observing systems using microscale modeling.

Authors:  Piyush Bhardwaj; Rajesh Kumar; Douglas A Mitchell; Cynthia A Randles; Nicole Downey; Doug Blewitt; Branko Kosovic
Journal:  Sci Rep       Date:  2022-10-19       Impact factor: 4.996

5.  Super-emitters in natural gas infrastructure are caused by abnormal process conditions.

Authors:  Daniel Zavala-Araiza; Ramón A Alvarez; David R Lyon; David T Allen; Anthony J Marchese; Daniel J Zimmerle; Steven P Hamburg
Journal:  Nat Commun       Date:  2017-01-16       Impact factor: 14.919

6.  Methane emissions from the Marcellus Shale in southwestern Pennsylvania and northern West Virginia based on airborne measurements.

Authors:  Xinrong Ren; Dolly L Hall; Timothy Vinciguerra; Sarah E Benish; Phillip R Stratton; Doyeon Ahn; Jonathan R Hansford; Mark D Cohen; Sayantan Sahu; Hao He; Courtney Grimes; Ross J Salawitch; Sheryl H Ehrman; Russell R Dickerson
Journal:  J Geophys Res Atmos       Date:  2017-04-20       Impact factor: 4.261

7.  Intercomparison of atmospheric trace gas dispersion models: Barnett Shale case study.

Authors:  Anna Karion; Thomas Lauvaux; Israel Lopez Coto; Colm Sweeney; Kimberly Mueller; Sharon Gourdji; Wayne Angevine; Zachary Barkley; Aijun Deng; Arlyn Andrews; Ariel Stein; James Whetstone
Journal:  Atmos Chem Phys       Date:  2019       Impact factor: 6.133

8.  Tropical methane emissions explain large fraction of recent changes in global atmospheric methane growth rate.

Authors:  Liang Feng; Paul I Palmer; Sihong Zhu; Robert J Parker; Yi Liu
Journal:  Nat Commun       Date:  2022-03-16       Impact factor: 14.919

9.  Satellite-based survey of extreme methane emissions in the Permian basin.

Authors:  Itziar Irakulis-Loitxate; Luis Guanter; Yin-Nian Liu; Daniel J Varon; Joannes D Maasakkers; Yuzhong Zhang; Apisada Chulakadabba; Steven C Wofsy; Andrew K Thorpe; Riley M Duren; Christian Frankenberg; David R Lyon; Benjamin Hmiel; Daniel H Cusworth; Yongguang Zhang; Karl Segl; Javier Gorroño; Elena Sánchez-García; Melissa P Sulprizio; Kaiqin Cao; Haijian Zhu; Jian Liang; Xun Li; Ilse Aben; Daniel J Jacob
Journal:  Sci Adv       Date:  2021-06-30       Impact factor: 14.136

10.  Temporal variability largely explains top-down/bottom-up difference in methane emission estimates from a natural gas production region.

Authors:  Timothy L Vaughn; Clay S Bell; Cody K Pickering; Stefan Schwietzke; Garvin A Heath; Gabrielle Pétron; Daniel J Zimmerle; Russell C Schnell; Dag Nummedal
Journal:  Proc Natl Acad Sci U S A       Date:  2018-10-29       Impact factor: 11.205

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