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  • Presentation | A43L: Remote Sensing of CH4 and CO2 from Space: The Expanding Observing System II Oral
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  • A43L-03: Estimating the Global Oil-Gas Methane Emission Rate Distribution using Multiple Satellite Systems
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Author(s):
Dylan Jervis, GHGSat, Inc. (First Author, Presenting Author)
Jean-Philippe MacLean, GHGSat, Inc.
Jason McKeever, GHGSat, Inc.
Mathias Strupler, GHGSat, Inc.
Antoine Ramier, GHGSat, Inc.


In this study, we estimate the distribution of oil and gas (O&G) methane emission rate events based on 17,078 satellite-based plume detections from six different satellite systems in 2024. We find that the emission rate distribution follows a lognormal distribution, meaning most emissions are small, but a few are very large. Our method accounts for the emission rate detection sensitivity each satellite system as well as each system's temporal coverage. We also compare where each system detects methane with where O&G operations are expected globally, and find that all systems effectively have global coverage. This is the most comprehensive set of satellite-based O&G methane detections to date, helping us better estimate how common events at different emission rates are. Finally, we combine detection ability, spatial and temporal coverage into a single measure of how complete each system’s observations are relative to each other—useful for both researchers and policymakers.



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