Literature DB >> 28678487

Spatiotemporal Variability of Methane Emissions at Oil and Natural Gas Operations in the Eagle Ford Basin.

Tegan N Lavoie, Paul B Shepson, Maria O L Cambaliza1, Brian H Stirm, Stephen Conley2, Shobhit Mehrotra2, Ian C Faloona2, David Lyon3.   

Abstract

Methane emissions from oil and gas facilities can exhibit operation-dependent temporal variability; however, this variability has yet to be fully characterized. A field campaign was conducted in June 2014 in the Eagle Ford basin, Texas, to examine spatiotemporal variability of methane emissions using four methods. Clusters of methane-emitting sources were estimated from 14 aerial surveys of two ("East" or "West") 35 × 35 km grids, two aircraft-based mass balance methods measured emissions repeatedly at five gathering facilities and three flares, and emitting equipment source-types were identified via helicopter-based infrared camera at 13 production and gathering facilities. Significant daily variability was observed in the location, number (East: 44 ± 20% relative standard deviation (RSD), N = 7; West: 37 ± 30% RSD, N = 7), and emission rates (36% of repeat measurements deviate from mean emissions by at least ±50%) of clusters of emitting sources. Emission rates of high emitters varied from 150-250 to 880-1470 kg/h and regional aggregate emissions of large sources (>15 kg/h) varied up to a factor of ∼3 between surveys. The aircraft-based mass balance results revealed comparable variability. Equipment source-type changed between surveys and alterations in operational-mode significantly influenced emissions. Results indicate that understanding temporal emission variability will promote improved mitigation strategies and additional analysis is needed to fully characterize its causes.

Entities:  

Mesh:

Substances:

Year:  2017        PMID: 28678487     DOI: 10.1021/acs.est.7b00814

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


  7 in total

1.  Multiscale Methane Measurements at Oil and Gas Facilities Reveal Necessary Frameworks for Improved Emissions Accounting.

Authors:  Jiayang Lyra Wang; William S Daniels; Dorit M Hammerling; Matthew Harrison; Kaylyn Burmaster; Fiji C George; Arvind P Ravikumar
Journal:  Environ Sci Technol       Date:  2022-10-06       Impact factor: 11.357

2.  Wintertime CO2, CH4, and CO Emissions Estimation for the Washington, DC-Baltimore Metropolitan Area Using an Inverse Modeling Technique.

Authors:  Israel Lopez-Coto; Xinrong Ren; Olivia E Salmon; Anna Karion; Paul B Shepson; Russell R Dickerson; Ariel Stein; Kuldeep Prasad; James R Whetstone
Journal:  Environ Sci Technol       Date:  2020-02-21       Impact factor: 9.028

3.  Assessment of methane emissions from the U.S. oil and gas supply chain.

Authors:  Ramón A Alvarez; Daniel Zavala-Araiza; David R Lyon; David T Allen; Zachary R Barkley; Adam R Brandt; Kenneth J Davis; Scott C Herndon; Daniel J Jacob; Anna Karion; Eric A Kort; Brian K Lamb; Thomas Lauvaux; Joannes D Maasakkers; Anthony J Marchese; Mark Omara; Stephen W Pacala; Jeff Peischl; Allen L Robinson; Paul B Shepson; Colm Sweeney; Amy Townsend-Small; Steven C Wofsy; Steven P Hamburg
Journal:  Science       Date:  2018-06-21       Impact factor: 47.728

4.  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

5.  Barometric-pumping controls fugitive gas emissions from a vadose zone natural gas release.

Authors:  Olenka N Forde; Aaron G Cahill; Roger D Beckie; K Ulrich Mayer
Journal:  Sci Rep       Date:  2019-10-01       Impact factor: 4.379

6.  Reduction of Signal Drift in a Wavelength Modulation Spectroscopy-Based Methane Flux Sensor.

Authors:  Scott P Seymour; Simon A Festa-Bianchet; David R Tyner; Matthew R Johnson
Journal:  Sensors (Basel)       Date:  2022-08-17       Impact factor: 3.847

7.  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

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.