Your browser doesn't support javascript.
loading
Toward Multiscale Measurement-Informed Methane Inventories: Reconciling Bottom-Up Site-Level Inventories with Top-Down Measurements Using Continuous Monitoring Systems.
Daniels, William S; Wang, Jiayang Lyra; Ravikumar, Arvind P; Harrison, Matthew; Roman-White, Selina A; George, Fiji C; Hammerling, Dorit M.
Afiliación
  • Daniels WS; Department of Applied Mathematics and Statistics, Colorado School of Mines, Golden, Colorado 80401, United States.
  • Wang JL; Department of Petroleum and Geosystems Engineering, The University of Texas at Austin, Austin, Texas 78712, United States.
  • Ravikumar AP; Energy Emissions Modeling and Data Lab, The University of Texas at Austin, Austin, Texas 78712, United States.
  • Harrison M; Department of Petroleum and Geosystems Engineering, The University of Texas at Austin, Austin, Texas 78712, United States.
  • Roman-White SA; Energy Emissions Modeling and Data Lab, The University of Texas at Austin, Austin, Texas 78712, United States.
  • George FC; SLR International, Bothell, Washington 98021, United States.
  • Hammerling DM; Cheniere Energy Inc., Houston, Texas 77002, United States.
Environ Sci Technol ; 57(32): 11823-11833, 2023 08 15.
Article en En | MEDLINE | ID: mdl-37506319
Government policies and corporate strategies aimed at reducing methane emissions from the oil and gas sector increasingly rely on measurement-informed, site-level emission inventories, as conventional bottom-up inventories poorly capture temporal variability and the heavy-tailed nature of methane emissions. This work is based on an 11-month methane measurement campaign at oil and gas production sites. We find that operator-level top-down methane measurements are lower during the end-of-project phase than during the baseline phase. However, gaps persist between end-of-project top-down measurements and bottom-up site-level inventories, which we reconcile with high-frequency data from continuous monitoring systems (CMS). Specifically, we use CMS to (i) validate specific snapshot measurements and determine how they relate to the temporal emission profile of a given site and (ii) create a measurement-informed, site-level inventory that can be validated with top-down measurements to update conventional bottom-up inventories. This work presents a real-world demonstration of how to reconcile CMS rate estimates and top-down snapshot measurements jointly with bottom-up inventories at the site level. More broadly, it demonstrates the importance of multiscale measurements when creating measurement-informed, site-level emission inventories, which is a critical aspect of recent regulatory requirements in the Inflation Reduction Act, voluntary methane initiatives such as the Oil and Gas Methane Partnership 2.0, and corporate strategies.
Asunto(s)
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Contaminantes Atmosféricos / Metano Idioma: En Revista: Environ Sci Technol Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Contaminantes Atmosféricos / Metano Idioma: En Revista: Environ Sci Technol Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos