Quantification of oil and gas methane emissions in the Delaware and Marcellus basins using a network of continuous tower-based measurements

被引:12
作者
Barkley, Zachary [1 ]
Davis, Kenneth [1 ]
Miles, Natasha [1 ]
Richardson, Scott [1 ]
Deng, Aijun [2 ]
Hmiel, Benjamin [3 ]
Lyon, David [3 ]
Lauvaux, Thomas [4 ]
机构
[1] Penn State Univ, Dept Meteorol & Atmospher Sci, University Pk, PA 16801 USA
[2] Utopus Insights Inc, Valhalla, NY USA
[3] Environm Def Fund, 301 Congress Ave,Suite 1300, Austin, TX USA
[4] Univ Reims, GSMA, UMR CNRS 7331, Reims, France
关键词
WELL PADS; INVERSION; CO2; BUDGET; US;
D O I
10.5194/acp-23-6127-2023
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
According to the United States Environmental Protection Agency (US EPA), emissions from oil and gas infrastructure contribute 30% of all anthropogenic methane (CH4) emissions in the US. Studies in the last decade have shown emissions from this sector to be substantially larger than bottom-up assessments, including the EPA inventory, highlighting both the increased importance of methane emissions from the oil and gas sector in terms of their overall climatological impact and the need for independent monitoring of these emissions. In this study we present continuous monitoring of regional methane emissions from two oil and gas basins using tower-based observing networks. Continuous methane measurements were taken at four tower sites in the northeastern Marcellus basin from May 2015 through December 2016 and five tower sites in the Delaware basin in the western Permian from March 2020 through April 2022. These measurements, an atmospheric transport model, and prior emission fields are combined using an atmospheric inversion to estimate monthly methane emissions in the two regions. This study finds the mean overall emission rate from the Delaware basin during the measurement period to be 146-210 Mg CH4 h(-1) (energy-normalized loss rate of 1.1 %-1.5 %, gas-normalized rate of 2.5 %-3.5 %). Strong temporal variability in the emissions was present, with the lowest emission rates occurring during the onset of the COVID-19 pandemic. Additionally, a synthetic model-data experiment performed using the Delaware tower network shows that the presence of intermittent sources is not a significant source of uncertainty in monthly quantification of the mean emission rate. In the Marcellus, this study finds the overall mean emission rate to be 19-28 Mg CH4 h(-1) (gas-normalized loss rate of 0.30 %-0.45 %), with relative consistency in the emission rate over time. These totals align with aircraft top-down estimates from the same time periods. In both basins, the tower network was able to constrain monthly flux estimates within +/- 20% uncertainty in the Delaware and +/- 24% uncertainty in the Marcellus. The results from this study demonstrate the ability to monitor emissions continuously and detect changes in the emissions field, even in a basin with relatively low emissions and complex background conditions.
引用
收藏
页码:6127 / 6144
页数:18
相关论文
共 67 条
[1]   Consistent Metrics Needed for Quantifying Methane Emissions from Upstream Oil and Gas Operations [J].
Allen, David T. ;
Chen, Qining ;
Dunn, Jennifer B. .
ENVIRONMENTAL SCIENCE & TECHNOLOGY LETTERS, 2021, 8 (04) :345-349
[2]   Assessment of methane emissions from the US oil and gas supply chain [J].
Alvarez, Ramon A. ;
Zavala-Araiza, Daniel ;
Lyon, David R. ;
Allen, David T. ;
Barkley, Zachary R. ;
Brandt, Adam R. ;
Davis, Kenneth J. ;
Herndon, Scott C. ;
Jacob, Daniel J. ;
Karion, Anna ;
Kort, Eric A. ;
Lamb, Brian K. ;
Lauvaux, Thomas ;
Maasakkers, Joannes D. ;
Marchese, Anthony J. ;
Omara, Mark ;
Pacala, Stephen W. ;
Peischl, Jeff ;
Robinson, Allen L. ;
Shepson, Paul B. ;
Sweeney, Colm ;
Townsend-Small, Amy ;
Wofsy, Steven C. ;
Hamburg, Steven P. .
SCIENCE, 2018, 361 (6398) :186-188
[3]  
[Anonymous], 2022, 117 C H R 5376 INFL
[4]  
[Anonymous], 2022, BAK HUGH RIG COUNT
[5]  
[Anonymous], 2022, SKYTRUTH FLAR MAPS D
[6]   Analysis of Oil and Gas Ethane and Methane Emissions in the Southcentral and Eastern United States Using Four Seasons of Continuous Aircraft Ethane Measurements [J].
Barkley, Z. R. ;
Davis, K. J. ;
Feng, S. ;
Cui, Y. Y. ;
Fried, A. ;
Weibring, P. ;
Richter, D. ;
Walega, J. G. ;
Miller, S. M. ;
Eckl, M. ;
Roiger, A. ;
Fiehn, A. ;
Kostinek, J. .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2021, 126 (10)
[7]   Forward Modeling and Optimization of Methane Emissions in the South Central United States Using Aircraft Transects Across Frontal Boundaries [J].
Barkley, Z. R. ;
Davis, K. J. ;
Feng, S. ;
Balashov, N. ;
Fried, A. ;
DiGangi, J. ;
Choi, Y. ;
Hailiday, H. S. .
GEOPHYSICAL RESEARCH LETTERS, 2019, 46 (22) :13564-13573
[8]  
Barkley Z.R., GEOPHYS RES LETT, V46, P10
[9]   Quantifying methane emissions from natural gas production in north-eastern Pennsylvania [J].
Barkley, Zachary R. ;
Lauvaux, Thomas ;
Davis, Kenneth J. ;
Deng, Aijun ;
Miles, Natasha L. ;
Richardson, Scott J. ;
Cao, Yanni ;
Sweeney, Colm ;
Karion, Anna ;
Smith, MacKenzie ;
Kort, Eric A. ;
Schwietzke, Stefan ;
Murphy, Thomas ;
Cervone, Guido ;
Martins, Douglas ;
Maasakkers, Joannes D. .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2017, 17 (22) :13941-13966
[10]   A global wetland methane emissions and uncertainty dataset for atmospheric chemical transport models (WetCHARTs version 1.0) [J].
Bloom, A. Anthony ;
Bowman, Kevin W. ;
Lee, Meemong ;
Turner, Alexander J. ;
Schroeder, Ronny ;
Worden, John R. ;
Weidner, Richard ;
McDonald, Kyle C. ;
Jacob, Daniel J. .
GEOSCIENTIFIC MODEL DEVELOPMENT, 2017, 10 (06) :2141-2156