Evaluating Methods To Estimate Methane Emissions from Oil and Gas Production Facilities Using LES Simulations

2018 ◽  
Vol 52 (19) ◽  
pp. 11206-11214 ◽  
Author(s):  
Pablo E. Saide ◽  
Daniel F. Steinhoff ◽  
Branko Kosovic ◽  
Jeffrey Weil ◽  
Nicole Downey ◽  
...  
Keyword(s):  
Oil And Gas ◽  
Methane Emissions ◽  
Gas Production ◽  
Oil And Gas Production ◽  
Evaluating Methods ◽  
Production Facilities

Methane Emissions in China's Oil and Gas Production: Impacts and Control Measures

2019 ◽  
Author(s):  
Yibin Weng ◽  
Ming Xue ◽  
Xiangyu Cui ◽  
Xingchun Li
Keyword(s):  
Oil And Gas ◽  
Methane Emissions ◽  
Gas Production ◽  
Control Measures ◽  
Oil And Gas Production ◽  
And Control

scholarly journals High-resolution inversion of methane emissions in the Southeast US using SEAC<sup>4</sup>RS aircraft observations of atmospheric methane: anthropogenic and wetland sources

2018 ◽  
Vol 18 (9) ◽  
pp. 6483-6491 ◽  
Author(s):  
Jian-Xiong Sheng ◽  
Daniel J. Jacob ◽  
Alexander J. Turner ◽  
Joannes D. Maasakkers ◽  
Melissa P. Sulprizio ◽  
...  
Keyword(s):  
Oil And Gas ◽  
Source Region ◽  
Regional Scale ◽  
Methane Emissions ◽  
Gas Production ◽  
Anthropogenic Sources ◽  
Oil And Gas Production ◽  
Error Characterization ◽  
The Mean ◽  
Southeast Us

Abstract. We use observations of boundary layer methane from the SEAC4RS aircraft campaign over the Southeast US in August–September 2013 to estimate methane emissions in that region through an inverse analysis with up to 0.25∘×0.3125∘ (25×25 km2) resolution and with full error characterization. The Southeast US is a major source region for methane including large contributions from oil and gas production and wetlands. Our inversion uses state-of-the-art emission inventories as prior estimates, including a gridded version of the anthropogenic EPA Greenhouse Gas Inventory and the mean of the WetCHARTs ensemble for wetlands. Inversion results are independently verified by comparison with surface (NOAA∕ESRL) and column (TCCON) methane observations. Our posterior estimates for the Southeast US are 12.8±0.9 Tg a−1 for anthropogenic sources (no significant change from the gridded EPA inventory) and 9.4±0.8 Tg a−1 for wetlands (27 % decrease from the mean in the WetCHARTs ensemble). The largest source of error in the WetCHARTs wetlands ensemble is the land cover map specification of wetland areal extent. Our results support the accuracy of the EPA anthropogenic inventory on a regional scale but there are significant local discrepancies for oil and gas production fields, suggesting that emission factors are more variable than assumed in the EPA inventory.

scholarly journals A Mobile Sensing Approach for Regional Surveillance of Fugitive Methane Emissions in Oil and Gas Production

2016 ◽  
Vol 50 (5) ◽  
pp. 2487-2497 ◽  
Author(s):  
John. D. Albertson ◽  
Tierney Harvey ◽  
Greg Foderaro ◽  
Pingping Zhu ◽  
Xiaochi Zhou ◽  
...  
Keyword(s):  
Oil And Gas ◽  
Methane Emissions ◽  
Gas Production ◽  
Mobile Sensing ◽  
Oil And Gas Production ◽  
Regional Surveillance
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