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.
Afiliação
  • 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 em 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.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Poluentes Atmosféricos / Metano Idioma: En Revista: Environ Sci Technol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Poluentes Atmosféricos / Metano Idioma: En Revista: Environ Sci Technol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos