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  • Presentation | GC22F: New Technologies and Frameworks to Detect and Analyze Methane Emissions from the Oil and Gas Supply Chain: Methods, Data, and Insights II Oral
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  • GC22F-03: Impact of Temporal and Spatial Variability in Oil and Gas Emissions for Understanding Mass Balance Estimates of Methane Emissions in Appalachian Basin
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Author(s):
Shannon Stokes, University of Texas at Austin (First Author, Presenting Author)
Qining Chen, University of Texas at Austin
Arvind Ravikumar, University of Texas at Austin
David Allen, University of Texas at Austin


Aerial mass balance measurements have been conducted to quantify the regional methane emissions in the Appalachian Basin. However, in a region with diverse sources of methane (oil and gas, coal, landfills, and agriculture) reconciliation with site level measurements and operational data is necessary to gain a better understanding of source attribution. Quantifying the temporal variability expected due to oil and gas emissions within the mass balance polygons will allow for a more accurate reconciliation with site level measurements and a better understanding of unaccounted for emissions sources within the mass balance polygons. This work generates a spatial and temporally resolved emission inventory for the mass balance polygons flown. The inventory includes both routine emissions and known or predicted emission events such as well completions, liquid unloadings and pre-production activities.



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