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Session Proposal: Advances in Translating Measured Methane Emissions into Greenhouse Gas Inventories for the Oil and Gas Supply Chains (AGU25)

SY004
Advances in Translating Measured Methane Emissions into Greenhouse Gas Inventories for the Oil and Gas Supply Chains

Session ID#: 248295

Session Description:
Methane emissions from oil and gas supply chains are not only causing energy loss but also exacerbate global climate change. Direct measurements, from satellite observations to continuous ground-level monitoring, offer valuable insights into methane emissions along oil and gas supply chains. However, translating these data into greenhouse gas inventories by following a standard methodology that informs policy, compliance, and monitoring frameworks remains challenging. The unique characteristics of supply chains and discrepancies between measurement techniques highlight the need for supply chain-specific GHG inventories to support national strategies on developing differentiated trading markets.This session focuses on bridging the gap between the methane measurements and inventory methodologies. Topics of interest include: Advancements in reconciliation techniques across multi-scale measurements. Methods for integrating diverse data sources into life cycle assessments.Approaches to data quality and uncertainty quantification to improve GHG inventory confidence.Regional case studies quantifying supply chain-specific emissions in future geo-energy systems.
Co-Sponsor(s):
  • GC - Global Environmental Change
Index Terms:

1626 Global climate models [GLOBAL CHANGE]
1630 Impacts of global change [GLOBAL CHANGE]
1640 Remote sensing [GLOBAL CHANGE]
6349 General or miscellaneous [POLICY SCIENCES]
Primary Convener:  Haoming Ma, University of Wyoming, Laramie, WY, United States
Conveners:  Wennan Long1, Mohammad S Masnadi1 and Arvind P Ravikumar2, (1)University of Pittsburgh, Department of Chemical and Petroleum Engineering, Pittsburgh, United States(2)University of Texas at Austin, Petroleum and Geosystems Engineering, Austin, TX, United States
Student/Early Career Convener:  Yuanrui Zhu, University of Texas at Austin, Petroleum and Geosystems Engineering, Austin, United States
 
Declining Methane Emissions from Oil & Gas: Uncovered by Atmospheric Observation in Western Siberia (1876475)
Takuto Taguchi1, Motoki Sasakawa1, Toshinobu Machida1,2, Qianning Qin1, Aleksandr Nogovitcyn1 and Masayuki Kondo2, (1)National Institute for Environmental Studies, Tsukuba, Japan, (2)Seto Inland Sea Carbon Neutral Research Center, Hiroshima University, Hiroshima, Japan
 
How Methodological Decisions Shape Methane Intensity Estimates: A Haynesville Basin Case Study (1879834)
Kristian Daniel Hajny, Bailey Fosdick, Zach Weller, Ellie Martinez, Xing Wong, Amanda Berry, Abigail Corbett and Chris Moore, GTI Energy, Des Plaines, United States
 
Uncertainty Quantification of Measurement-Informed Methane Emission Inventory from Oil and Gas Facilities (1881156)
Haojun Xia and Arvind P Ravikumar, University of Texas at Austin, Petroleum and Geosystems Engineering, Austin, TX, United States
 
Use of Uncertainty in Oil and Gas Emissions Reporting (Invited) (1882031)
Daniel Zimmerle1, Anna Lily Hodshire1, Kira B. Shonkwiler2 and Arthur Santos2, (1)Colorado State University, Energy Institute, Fort Collins, United States, (2)Colorado State University, Fort Collins, United States
 
Colorado Ongoing Basin Emissions: Combining Aerial Survey Data with Continuous Monitoring Data to Estimate a State-wide Methane Emissions Inventory (1899775)
Callan Okenberg1, Olga Khaliukova2, William Daniels1, Jenna Brown3, Arthur Santos4, Michael Moy4, Anna Lily Hodshire5 and Dorit Hammerling6, (1)Colorado School of Mines, Applied Mathematics and Statistics, Golden, United States, (2)Colorado School of Mines, Golden, United States, (3)Colorado State University Fort Collins, Glenwood Springs, CO, UNITED STATES, (4)Colorado State University, Fort Collins, United States, (5)Colorado State University, Energy Institute, Fort Collins, United States, (6)Statistical and Applied Mathematical Sciences Institute, Boulder, United States
 
Regional Heterogeneity and Uncertainty in the Social Cost of Methane from Upstream Coal Extraction (1905723)
Wennan Long1, Haichen Ji2 and Xu Tang2, (1)University of Pittsburgh, The Chemical and Petroleum Engineering, Pittsburgh, United States, (2)China University of Petroleum, School of Economics and Management, Beijing, China
 
A Comparative Analysis of Emission Factor Approaches for Excavation-Related Methane Leaks in Underground Gas Distribution Systems (1911052)
Trevor Webber1, Navodi Jayarathne2 and Kathleen M Smits2, (1)Southern Methodist University, Department of Civil and Environmental Engineering, Dallas, United States, (2)Southern Methodist University, Department of Civil and Environmental Engineering, Dallas, TX, United States
 
Value of Operational Data in Developing Accurate Measurement Informed Methane Emission Inventory (1916858)
Shuting Yang1, Shannon N Stokes1, Muiz Adekomi2 and Arvind P Ravikumar3, (1)University of Texas at Austin, Center for Energy and Environmental Systems Analysis (CEESA), Austin, United States, (2)University of Texas at Austin, Petroleum and Geosystems Engineering, Austin, United States, (3)University of Texas at Austin, Petroleum and Geosystems Engineering, Austin, TX, United States
 
Statistical inference of intermittent methane emissions from heterogeneous measurements (1926555)
Philippine Burdeau1, Audrey McManemin2, Evan D. Sherwin3, Erin B Wetherley4, Elena SF Berman4 and Adam R Brandt1, (1)Stanford University, Department of Energy Science and Engineering, Stanford, CA, United States, (2)Stanford University, Energy Science and Engineering, Stanford, United States, (3)Stanford University, Energy Science & Engineering, Stanford, United States, (4)Insight M, Sunnyvale, United States
 
Aerial LiDAR-Based, Source-Resolved Methane Emissions Inventory: Permian Basin Case Study for Benchmarking U.S. Emissions (1926694)
Christopher Donahue, Michael Thorpe, Kabir Oberoi, James Dillon, Peter Roos, Jason Brasseur, Cameron Dudiak, Vickira Hengst, Dominic Altamura, Rory Sykes, Gabriel Doherty, William Kearney, Elizabeth Rehbein, Jackson Lennox and Brandon Kennedy, Bridger Photonics, Inc, Bozeman, MT, United States
 
Using Crewed Aerial Methane Measurement Snapshots to inform Methane Inventories: Pathways to understanding Production Methane Emissions (1931701)
Abigail Corbett1, Chris Moore2, Bailey Fosdick2, Zach Weller3, Ellie Martinez2, Kristian Hajny2, Srijana Rai4, Xing Wong2, Amanda Berry2, Natalia Gielczowski2 and Yannik Roell2, (1)GTI Energy, Houston, United States, (2)GTI Energy, Des Plaines, United States, (3)GTI Energy, Digital Innovation, Fort Collins, United States, (4)GTI Energy, Zero Emissions Systems, Des Plaines, United States
 
Super-emitter intensities across global oil&gas basins (1936848)
Alana Ayasse, Daniel Bon, Daniel Cusworth, Tia Scarpelli, Katherine Howell and Riley Duren, Carbon Mapper, Pasadena, United States
 
Field-Scale Methane Inventory for Targeted Mitigation in Global Oil and Gas Production (1940703)
Tianyang Lei, University College London, London, United Kingdom
 
The Role of Continuous Monitoring Systems in Methane Emissions Inventories: Insights from 2 Years of Data on 35 Production Sites in the Appalachian Basin (1972254)
William Daniels1, Troy Sorensen1, Spencer Kidd1, Shuting Yang2, Shannon N Stokes2, Arvind P Ravikumar3 and Dorit Hammerling1, (1)Colorado School of Mines, Applied Mathematics and Statistics, Golden, United States, (2)University of Texas at Austin, Center for Energy and Environmental Systems Analysis (CEESA), Austin, United States, (3)University of Texas at Austin, Petroleum and Geosystems Engineering, Austin, TX, United States
 
Offshore Methane Emissions in the Gulf of America: What Shipboard and Airborne SCOAPE-II Measurements Reveal About GHGSat Satellite Detection Limitations (1985563)
Nikolay Balashov1,2, Ryan M Stauffer3, Anne Thompson3,4, Niko Markovich Fedkin5, Debra Kollonige6, Joshua Richards7, Martin Cadirola8, Holli D. Wecht9, Andrew K Thorpe10, Adam Chlus11,12, Robert O Green13, Jonathan Gallegos14 and Lesley Ott1, (1)NASA Goddard Space Flight Center, Global Modeling and Assimilation Office, Greenbelt, United States, (2)University of Maryland, Earth System Science Interdisciplinary Center, College Park, United States, (3)NASA Goddard Space Flight Center, Greenbelt, United States, (4)University of Maryland Baltimore County/GESTAR-II, Baltimore, United States, (5)ORAU-NPP/NASA Goddard Space Flight Center, Greenbelt, MD, United States, (6)SSAI at NASA/GSFC, Greenbelt, United States, (7)University of Maryland Baltimore County, Baltimore, United States, (8)Ecotronics Ventures, New Market MD, United States, (9)Bureau of Ocean Energy Management (formally Minerals Management Service), Sterling, United States, (10)Jet Propulsion Laboratory, Pasadena, United States, (11)University of Wisconsin-Madison, Department of Forest and Wildlife Ecology, Madison, United States, (12)NASA Jet Propulsion Laboratory, Pasadena, United States, (13)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (14)SciGLOB, Columbia, MD, United States
 
Mechanistic Simulation of Methane Emissions in the Upper Green River Basin: A SABER-Based Evaluation of Bottom-Up Inventories. (1998289)
Nazia Kolla, University of Wyoming, Energy & Petroleum Engineering, Laramie, United States and Shane Murphy, Jeffrey Navitanont, Zakk Trader-Gough, Max Appelbaum, Vamegh Rasouli, Minou Rabiei, Anna Hodshire, Arthur Santos, Dan Zimmerle, Scott Richardson, Zack Barkley, Natasha Miles, Ken Davis
 
Large-scale surveys of emissions in the Haynesville and Anadarko basins: Combining multiple top-down measurements with simulations to estimate total emissions (Invited) (1998603)
Adam R Brandt1, Evan D. Sherwin2, Philippine Burdeau1, Erin Wetherley3, Joshua Romo4, Sebastien Biraud5, Petr Yakovlev6 and Elena Berman7, (1)Stanford University, Department of Energy Science and Engineering, Stanford, CA, United States, (2)Stanford University, Energy Science & Engineering, Stanford, United States, (3)Insight M Inc., Sunnyvale, United States, (4)Stanford University, Stanford, United States, (5)Lawrence Berkeley National Laboratory, Berkeley, United States, (6)Insight M Inc., Sunnyvale, CA, United States, (7)Insight M. Inc, Sunnyvale, CA, United States
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