Advances in Translating Measured Methane Emissions into Greenhouse Gas Inventories for the Oil and Gas Supply Chains

Session ID#: 281249

Session Description:
Methane emissions across oil and gas supply chains show strong spatial and temporal variability, and direct observations from satellites, aircraft, drones, mobile surveys, and continuous monitoring are rapidly expanding the evidence base. However, translating these measurements into robust greenhouse gas inventories remains challenging because of differences in scale, intermittency, source attribution, system boundaries, and reconciliation with engineering and inventory methods. This session invites contributions that bridge methane observations and inventory development across production, gathering, processing, transmission, storage, LNG, and distribution systems. Topics include multi-scale measurement reconciliation; methods for integrating observations, inventories, and engineering-based models; uncertainty quantification and attribution; super-emitter characterization; and regional or global case studies that improve methane accounting across supply chains. We welcome studies that advance transparent, measurement-informed methane assessment for scientific understanding and inventory development.
Co-Sponsor(s):
  • GC - Global Environmental Change
  • IN - Informatics
Index Terms:

1610 Atmosphere [GLOBAL CHANGE]
1640 Remote sensing [GLOBAL CHANGE]
1910 Data assimilation, integration and fusion [INFORMATICS]
1926 Geospatial [INFORMATICS]
Primary Convener:  Wennan Long, University of Pittsburgh, The Chemical and Petroleum Engineering, Pittsburgh, PA, United States
Conveners:  Haoming Ma, University of Texas at Austin, Austin, United States, Mohammad S Masnadi, University of Pittsburgh, Department of Chemical and Petroleum Engineering, Pittsburgh, United States and Arvind P Ravikumar, University of Texas at Austin, Petroleum and Geosystems Engineering, Austin, TX, United States
See more of: Atmospheric Sciences