GC066
New Technologies and Platforms to Detect and Quantify Emissions From Oil and Gas Supply Chain: Methods, Data, and Insights
Session ID#: 157790
Session Description:
Governments increasingly recognize the importance of reducing methane emissions from the oil and gas supply chain as part of a comprehensive climate strategy. Emissions originate from a large variety and number of sources within the supply chain from upstream production, midstream processing and storage or transfer to downstream refining and distribution.
Recent advances in emissions detection and quantification technology have led scientists to gather spatially and temporally dense data on methane emissions from oil and gas operations along the entire supply chain using various innovative sensors and platforms. This session focuses on methane emissions data collected by innovative detection and quantification approaches. Specifically, we are interested in stationary (continuous monitoring systems) and mobile (truck, UAV, plane, and satellite) systems that detect emissions at all stages of the supply chain (production, processing, transmission, and distribution) at varying space and time scales. These studies can focus on improving emissions inventories, demonstrate field performance, analyze the effectiveness of leak detection and repair programs, develop insights on temporal and spatial characteristics or discuss challenges in mitigation and regulation. We are also interested in studies that compare technology performance across platforms and studies that demonstrate practical applications of monitoring and survey methods to mitigate gas migration risks and/or reduce climate impacts.
Co-Organized:
Index Terms:
1631 Land/atmosphere interactions [GLOBAL CHANGE]
1694 Instruments and techniques [GLOBAL CHANGE]
1875 Vadose zone [HYDROLOGY]
3360 Remote sensing [ATMOSPHERIC PROCESSES]
Primary Convener: Kathleen M Smits, University of Texas at Arlington, Arlington, TX, United States
Conveners: Stuart Riddick1, Daniel Zimmerle1 and Jiayang Wang2, (1)Colorado State University, Fort Collins, United States(2)Harrisburg University, Harrisburg, TX, United States
Student/Early Career Convener: Jiayang Wang, Harrisburg University, Harrisburg, TX, United States
Unraveling Natural Gas Migration Rate and Extent from Leaking Underground Pipelines Under Varying Environmental Conditions (1046083)
Navodi Jayarathne1, Richard S Kolodziej IV2, Younki Cho2, Stuart Riddick3, Daniel Zimmerle3 and Kathleen M Smits4, (1)The University of Texas at Arlington, Department of Civil Engineering, Arlington, TX, United States, (2)Colorado State University, Energy Institute, Fort Collins, CO, United States, (3)Colorado State University, Fort Collins, United States, (4)Southern Methodist University, Department of Civil and Environmental Engineering, Dallas, TX, United States
Differentiating oil and natural gas operator emissions performance via hyperspectral aircraft surveys (Invited) (1059481)
Evan D. Sherwin1, Yuanlei Chen1, Erin B Wetherley2, Petr V Yakovlev2, Brian B Jones2, Elena SF Berman2 and Adam R Brandt1, (1)Stanford University, Stanford, CA, United States, (2)Kairos Aerospace, Mountain View, United States
Estimating methane emissions on oil and gas facilities using continuous monitoring data (Invited) (1067371)
Dorit Hammerling1, William Daniels1 and Meng Jia2, (1)Colorado School of Mines, Department of Applied Mathematics and Statistics, Golden, CO, United States, (2)Colorado School of Mines, Department of Applied Mathematics and Statistics, Golden, United States
Using controlled subsurface emission experiments to improve leak detection solutions’ protocol: The UPSIDE project (1071858)
Stuart N Riddick1, Mercy Mbua2, Shanru Tian3, Navodi Jayarathne4, Younki Cho5, Richard S Kolodziej IV1, Cade Houlihan2, Fancy Cheptonui6, Aidan Duggan1, Kathleen M Smits7 and Daniel Zimmerle2, (1)Colorado State University, Energy Institute, Fort Collins, CO, United States, (2)Colorado State University, Fort Collins, United States, (3)University of Texas at Arlington, Department of Civil Engineering, Arlington, United States, (4)University of Texas at Arlington, Arlington, United States, (5)The University of Texas at Arlington, Department of Civil Engineering, Arlington, United States, (6)Colorado State University, Energy Institute, Fort Collins, United States, (7)Southern Methodist University, Department of Civil and Environmental Engineering, Dallas, TX, United States
Utilizing the Near Real-Time Methane Detector Network to Study and Quantify Underground Natural Gas Leakage from the Pipeline (1073221)
Jui-Hsiang Lo, Colorado State University, Civil and Environmental Engineering, Fort Collins, United States, Younki Cho, Colorado State University, Energy Institute, Fort Collins, CO, United States, Jerry Duggan, Colorado State University, Energy Institute, Fort Collins, United States, Stuart Riddick, Colorado State University, Fort Collins, United States and Kathleen M Smits, Southern Methodist University, Department of Civil and Environmental Engineering, Dallas, TX, United States
Improving the efficacy of leak survey methods using 3D plume measurements (1079812)
Shanru Tian1, Stuart Riddick2, Mercy Mbua2, Younki Cho2, Daniel Zimmerle2 and Kathleen M Smits3, (1)University of Texas at Arlington, Department of Civil Engineering, Arlington, United States, (2)Colorado State University, Fort Collins, United States, (3)Southern Methodist University, Department of Civil and Environmental Engineering, Dallas, TX, United States
Demonstrating the Accuracy of Quantitative Optical Gas Imaging (1081655)
Chiemezie Ilonze, Colorado State University, Mechanical Engineering, Fort Collins, United States, Jiayang Wang, Harrisburg University of Science and Technology, Data Science, Harrisburg, PA, United States, Arvind P Ravikumar, University of Texas at Austin, Petroleum and Geosystems Engineering, Austin, United States, Rachel Day, Colorado State University, Systems Engineering, Fort Collins, United States and Clay Bell, Colorado State University, Energy Institute, Fort Collins, United States
Single-Blind Detection, Quantification, and Localization of Natural Gas Leaks using GreenLITE™ Measurements (1092992)
Timothy Pernini1, Nathan Blume2, T Scott Zaccheo3 and Jeremy Todd Dobler2, (1)Atmospheric and Environmental Research Lexington, Lexington, MA, United States, (2)Spectral Sensor Solutions LLC, Environmental Sensing, Fort Wayne, IN, United States, (3)Atmospheric and Environmental Research, Inc., Lexington, MA, United States
Reconciling Performance Measures from Controlled Testing and Field Testing of Continuous Emission Monitors at Oil and Gas Facilities. (1107908)
Clay Bell, Colorado State University, Energy Institute, Fort Collins, United States, Chiemezie Ilonze, Colorado State University, Mechanical Engineering, Fort Collins, United States, Rachel Day, Colorado State University, Systems Engineering, Fort Collins, United States, Arvind P Ravikumar, University of Texas at Austin, Austin, United States, Oladamola Amieyeofori, University of Texas at Austin, Petroleum and Geosystems Engineering Department, Austin, United States and Daniel Zimmerle, Colorado State University, Fort Collins, United States
Field Validation of Continuous Monitoring Systems (1113784)
Rachel Day, Colorado State University, Systems Engineering, Fort Collins, United States, Chiemezie Ilonze, Colorado State University, Mechanical Engineering, Fort Collins, United States, Oladamola Amieyeofori, University of Texas at Austin, Petroleum and Geosystems Engineering Department, Austin, United States, Arvind P Ravikumar, University of Texas at Austin, Austin, United States and Clay Bell, Colorado State University, Energy Institute, Fort Collins, United States
Demonstration of sun glint methane plume detection from space with the GHGSat constellation (1125756)
Jean-Philippe MacLean, Dylan Jervis, Jason McKeever, Antoine Ramier, Mathias Strupler, Ewan Tarrant and David Young, GHGSat, Inc., Montreal, QC, Canada
Methane Emissions Quantification from a Continuous Multispectral Imaging System, A Sensitivity Analysis (1186405)
Jason Bylsma1, Dan Martin1, Ryan Aylward2 and William Gourlay1, (1)Kuva Systems, Cambridge, United States, (2)Kuva Canada, Vancouver, BC, Canada
A Multi-Stakeholder Methane Data Reporting Framework for Advanced Monitoring Programs (1200044)
Thomas Fox, Highwood Emissions Management, Calgary, AB, Canada, Srijana Rai, GTI Energy, Chicago, United States and Erin Blanton, Gas Technology Institute, Des Plaines, United States
