GC085
New Technologies and Frameworks to Detect and Analyze Methane Emissions from the Oil and Gas Supply Chain: Methods, Data, and Insights
Session ID#: 247208
Session Description:
Reducing methane emissions from the oil and gas supply chain is a key component of a comprehensive climate strategy. Emissions originate from upstream production, midstream processing and storage or transfer to downstream refining and distribution. Advances in measurement technologies continue to increase the quality of methane emissions data, and new frameworks for reconciling data.This session highlights innovative technologies for measuring methane across the oil and gas supply chain and frameworks for analyzing these data. We are broadly interested in measurements from stationary and mobile platforms at all spatial and temporal scales. Relevant studies may include methods for improving emissions inventories, evaluation of sensor field performance, assessments of leak detection and repair programs, insights into spatiotemporal emission characteristics, or reconciliation of methane inventories. We are also interested in studies that compare performance across measurement platforms and studies that demonstrate the practical application of methods to mitigate risk and climate impact.
Co-Sponsor(s):
Index Terms:
1640 Remote sensing [GLOBAL CHANGE]
1694 Instruments and techniques [GLOBAL CHANGE]
1875 Vadose zone [HYDROLOGY]
3394 Instruments and techniques [ATMOSPHERIC PROCESSES]
Primary Convener: Kathleen M Smits, Southern Methodist University, Department of Civil and Environmental Engineering, Dallas, TX, United States
Conveners: Daniel Zimmerle, Colorado State University, Energy Institute, Fort Collins, United States, Ezra Levin, Colorado State University, Department of Atmospheric Science, Fort Collins, CO, United States and Dorit Hammerling, Statistical and Applied Mathematical Sciences Institute, Boulder, United States
Student/Early Career Convener: Navodi Jayarathne, Postdoctoral Researcher, Dallas, United States
EVALUATING THE FEASIBILITY OF USING DOWNWIND METHODS TO QUANTIFY POINT SOURCE OIL AND GAS EMISSIONS USING CONTINUOUS MONITORING FENCE-LINE SENSORS (1867006)
Mercy Mbua1, Stuart Riddick1, Anna Lily Hodshire2, Elijah Kiplimo2, Kira B. Shonkwiler1 and Daniel Zimmerle2, (1)Colorado State University, Fort Collins, United States, (2)Colorado State University, Energy Institute, Fort Collins, United States
Advanced Leak Detection Methods for Belowground Natural Gas Pipeline Leaks: Evaluation under Diverse Environmental and Operational Conditions (1867977)
Venkata Rao Gundapuneni1, Jui-Hsiang Lo2, Daniel Zimmerle3 and Kathleen M Smits1, (1)Southern Methodist University, Department of Civil and Environmental Engineering, Dallas, TX, United States, (2)Colorado State University, Civil and Environmental Engineering, Fort Collins, United States, (3)Colorado State University, Energy Institute, Fort Collins, United States
Carbon Swarm: A UAV Swarm-Based System for High-Resolution CO₂ and CH₄ Plume Monitoring in Complex Environments (1886808)
Scott A Nowicki1, Tobias P Fischer2, John Carl Ericksen3 and Matthew Fricke3, (1)University of New Mexico, Earth and Planetary Sciences department, Albuquerque, United States, (2)University of California, Santa Barbara, Santa Barbara, United States, (3)University of New Mexico, Computer Science, Albuquerque, United States
Impact of Temporal and Spatial Variability in Oil and Gas Emissions for Understanding Mass Balance Estimates of Methane Emissions in Appalachian Basin (1887197)
Shannon N Stokes, University of Texas at Austin, Chemical Engineering, Austin, United States, Qining Chen, University of Texas at Austin, Center for Energy and Environmental Systems Analysis, Austin, TX, United States, Arvind P Ravikumar, University of Texas at Austin, Petroleum and Geosystems Engineering, Austin, TX, United States and David Allen, University of Texas at Austin, Center for Energy and Environmental Systems Analysis, Austin, United States
Long duration methane emission measurements at gathering and boosting sites in the Permian Basin (1899193)
Qining Chen1, Busra Abdulkadiroglu2 and David Allen2, (1)University of Texas at Austin, Center for Energy and Environmental Systems Analysis, Austin, TX, United States, (2)University of Texas at Austin, Center for Energy and Environmental Systems Analysis, Austin, United States
Evaluation of a Commercial Portable Methane Analyzer in Flight Aboard a Research Aircraft and its Utility in Quantifying Airborne Eddy Covariance Methane Fluxes (1911807)
Ilana Pollack1, J. Brian Leen2, Xinrong Ren3, Nabil Saad2, Philip Stratton4, Sasha Renton5, Ilan Stein6, Jaden Lau7, Nathan Malarich1, Carsten Warneke8 and Steven S Brown8, (1)CIRES, University of Colorado Boulder & NOAA Chemical Sciences Laboratory, Boulder, United States, (2)Nikira Labs, Inc., Mountain View, United States, (3)NOAA, Air Resources Laboratory, College Park, United States, (4)University of Maryland & NOAA Air Resources Laboratory, College Park, United States, (5)Colorado College, Colorado Springs, CO, United States, (6)University of Maryland, College Park, United States, (7)Cornell University, Ithaca, United States, (8)NOAA Chemical Sciences Laboratory, Boulder, United States
Advancing the Design and Operation of Soil Aeration Systems for Belowground Natural Gas Leak Mitigation (1914884)
Navodi Jayarathne1, Jui-Hsiang Lo2 and Kathleen M Smits1, (1)Southern Methodist University, Department of Civil and Environmental Engineering, Dallas, TX, United States, (2)Colorado State University, Civil and Environmental Engineering, Fort Collins, United States
Models Models Everywhere: Can we get two models to agree on the same methane emissions dataset? (1922413)
Anna Lily Hodshire1, Jenna Brown2, Michael Moy3, Ethan Rimelman1, Daniel Zimmerle1, Olga Khaliukova4, Callan Okenberg5 and Dorit Hammerling6, (1)Colorado State University, Energy Institute, Fort Collins, United States, (2)Colorado State University Fort Collins, Glenwood Springs, CO, UNITED STATES, (3)Colorado State University, Fort Collins, United States, (4)Colorado School of Mines, Golden, United States, (5)Colorado School of Mines, Applied Mathematics and Statistics, Golden, United States, (6)Colorado School of Mines, Department of Applied Mathematics and Statistics, Golden, United States
Advancements in Aerial Gas Mapping LiDAR Technology to Support Emissions Monitoring of Global Oil and Gas Infrastructure (1926428)
Michael Thorpe1, Jason Brasseur2, Seth Kreitinger1, Cameron Dudiak2, Christopher Donahue1, Elijah Himes1, Raymond Weber1, Nelson Goldsworth1, Emma Kamp1 and Dominic Altamura2, (1)Bridger Photonics, Inc., Bozeman, United States, (2)Bridger Photonics, Inc, Bozeman, MT, United States
Cause-Informed Framework for Risk-Based Methane Mitigation in Upstream Oil and Gas Operations (1928081)
Abdulmuiz Adekomi1, Shuting Yang2, Shannon N Stokes3 and Arvind P Ravikumar1, (1)University of Texas at Austin, Petroleum and Geosystems Engineering, Austin, TX, United States, (2)University of Texas at Austin, Petroleum and Geosystems Engineering, Austin, United States, (3)University of Texas at Austin, Center for Energy and Environmental Systems Analysis (CEESA), Austin, United States
Practical Considerations and Optimization Criteria for the placement of Continuous Monitoring Sensors on Oil and Gas Sites (1928438)
Troy Sorensen1, Spencer Kidd1, William Daniels1 and Dorit Hammerling2, (1)Colorado School of Mines, Applied Mathematics and Statistics, Golden, United States, (2)Colorado School of Mines, Department of Applied Mathematics and Statistics, Golden, United States
Blinded performance testing of distribution space- based remote leak survey technologies (1931229)
Abigail Corbett1, Joseph von Fischer2, Jarrod Bullen3, Zach Weller4, Ellie Martinez3, Kristian Daniel Hajny5, Chris Moore3 and Todd Jaroch3, (1)GTI Energy, Houston, United States, (2)Colorado State University, Biology, Fort Collins, United States, (3)GTI Energy, Des Plaines, United States, (4)GTI Energy, Digital Innovation, Fort Collins, United States, (5)Stony Brook University, School of Marine and Atmospheric Sciences, Stony Brook, United States
High Resolution Surveys Reveal Pitfalls of Using Regional Observations to Verify Oil and Gas Methane Emissions (1936723)
Arvind P Ravikumar, University of Texas at Austin, Petroleum and Geosystems Engineering, Austin, TX, United States, Eldar Sharafutdinov, University of Texas at Austin, Austin, TX, United States, Raha Helali Esfahani, Department of Petroleum and Geosystems Engineering, The University of Texas at Austin, Austin, United States and Shannon N Stokes, University of Texas at Austin, Center for Energy and Environmental Systems Analysis (CEESA), Austin, United States
Localized Methane Loss Detection and Quantification from Natural Gas Gathering Pipelines in the Permian Basin (1950246)
Raghava Gorantla1,2, Samuel Wotus1,3, Matthew Reeder1 and Natalie Pekney1, (1)National Energy Technology Laboratory, Pittsburgh, United States, (2)Leidos, San Diego, CA, United States, (3)Leidos, Pittsburgh, United States
Mind the Gap: On the General Importance of Spatiotemporal Coverage in Evaluating Sensing Systems in LDAR and Emissions Accounting for Oil & Gas Sites (1954177)
John D Albertson1, Felix Hoehne2, David Bachman2, Dominik Niederberger2, Andrej Obuljen2, Ameya Prabhu2 and Aline Schneuwly2, (1)Cornell University, Ithaca, NY, United States, (2)Sensirion Connected Solutions, Staefa, Switzerland
Turbulence Parameter Bias in Reanalysis Data: Implications for Methane Emissions Detection and Global Climate Standards (1961487)
Kira B Shonkwiler1, Michael Moy2, Jerry Duggan3, Daniel Zimmerle3 and METEC Research Group, (1)Colorado State University Fort Collins, Fort Collins, CO, UNITED STATES, (2)Colorado State University, Fort Collins, United States, (3)Colorado State University, Energy Institute, Fort Collins, United States
5‑Minute Controlled Methane Release Study: Evaluating Gaussian Plume and Backward Lagrangian Stochastic Models in a Complex Oil & Gas Facility (1964798)
Kira B Shonkwiler, Colorado State University Fort Collins, Fort Collins, CO, UNITED STATES, Aashish Upreti, Colorado State University, Fort Collins, United States, Stuart Riddick, University of the Highlands and Islands, Perth, United Kingdom, Daniel Zimmerle, Colorado State University, Energy Institute, Fort Collins, United States and METEC Research Group
Detection and Quantification of Dispersed Methane Sources: Lessons from a Controlled Release Testbed (Invited) (1969094)
David A Risk1, Pylyp Buntov1, Rafee Iftakhar Hossian1, Yurii Dudak1, Khalil El Hachem1, Chelsie Hall1, Anna Chepkova1 and Tarek R Abichou2, (1)St. Francis Xavier University, Earth and Environmental Sciences, Antigonish, NS, Canada, (2)Florida State University, Engineering, Tallahassee, FL, United States
ASSESSING THE DETECTION AND QUANTIFICATION CAPABILITIES OF CONTINUOUS MONITORING SOLUTIONS USING A FIELD-REPRESENTATIVE SINGLE-BLIND CONTROLLED TESTING PROTOCOL (1969842)
Fancy Cheptonui1, Ezra Levin2, Rachel Day3, Chiemezie Ilonze4, Jerry Duggan5, Kate Patterson2, Anindita Chakraborty2, Ryan Brouwer5 and Daniel Zimmerle5, (1)Colorado State University Fort Collins, Fort collins, CO, UNITED STATES, (2)Colorado State University, Fort Collins, United States, (3)Colorado State University, Systems Engineering, Fort Collins, United States, (4)Colorado State University, Mechanical Engineering, Fort Collins, United States, (5)Colorado State University, Energy Institute, Fort Collins, United States
Using Aerial Measurements to Inform Statewide Methane Emission Estimates (1976348)
Michael Moy1, Jenna Brown2, Arthur Santos1, Anna Lily Hodshire3, Ethan Rimelman3, Olga Khaliukova4, Callan Okenberg5, Dorit Hammerling6, Daniel Zimmerle3 and William Daniels7, (1)Colorado State University, Fort Collins, United States, (2)Colorado State University Fort Collins, Glenwood Springs, CO, UNITED STATES, (3)Colorado State University, Energy Institute, Fort Collins, United States, (4)Colorado School of Mines, Golden, United States, (5)Colorado School of Mines, Applied Mathematics and Statistics, Golden, United States, (6)Statistical and Applied Mathematical Sciences Institute, Boulder, United States, (7)Colorado School of Mines, Golden, CO, United States
Comparison of simulated and observed methane plumes at oil and gas sites in the Permian Basin using advanced dispersion, coupled mesoscale-LES atmospheric modeling, and scientific machine learning (1986927)
Arash Fathi, ExxonMobil Houston, Houston, TX, United States, Joao Lucas Sousa Almeida, IBM Research, São Paulo, Brazil, Levente Klein, IBM Yorktown Heights, Yorktown Heights, United States, Anantha Sundaram, ExxonMobil Technology & Engineering Company, Annandale, United States and Maciel Zortea, IBM Research Brazil, Rio de Janeiro, Brazil
Satellite Flyover Detection of Aboveground Controlled Natural Gas Releases (1988595)
Bryan Rainwater1, Rachel Day2, Ezra Levin3 and Teagan Bailey1, (1)Colorado State University, Durango, United States, (2)Colorado State University, Systems Engineering, Fort Collins, United States, (3)Colorado State University, Fort Collins, United States
Controlled Testing and Field Demonstration of a UAV-based Technique for Quantifying Efficiencies and Methane Emissions of Gas Flares (1995622)
Simon Festa-Bianchet1, Milad Mohammadikharkeshi1, Alexis Tanner1, Brian M Crosland2, Greg Kopp3 and Matthew Johnson1, (1)Carleton University, Energy & Emissions Research Lab (EERL), Ottawa, ON, Canada, (2)Natural Resources Canada, Ottawa, ON, Canada, (3)University of Western Ontario, Civil & Environmental Engineering, London, Canada
