Department of Applied Mathematics and Statistics, Colorado School of Mines, Golden, Colorado 80401, United States.
Department of Petroleum and Geosystems Engineering, The University of Texas at Austin, Austin, Texas 78712, United States.
Environ Sci Technol. 2023 Aug 15;57(32):11823-11833. doi: 10.1021/acs.est.3c01121. Epub 2023 Jul 28.
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.
政府政策和企业战略旨在减少石油和天然气部门的甲烷排放,越来越依赖基于测量的、现场级别的排放清单,因为传统的自上而下的清单无法很好地捕捉甲烷排放的时间变化性和重尾性。这项工作基于在石油和天然气生产现场进行的为期 11 个月的甲烷测量活动。我们发现,在项目结束阶段,运营商级别的自上而下的甲烷测量值低于基线阶段。然而,在项目结束时的自上而下的测量值和基于现场的自下而上的清单之间仍然存在差距,我们使用来自连续监测系统 (CMS) 的高频数据来协调这些差距。具体来说,我们使用 CMS 来:(i) 验证特定的快照测量值,并确定它们与特定站点的时间排放特征的关系;(ii) 创建基于测量的、现场级别的清单,可以与自上而下的测量值进行验证,以更新传统的自下而上的清单。这项工作展示了如何在现场层面上协调 CMS 速率估计值和自上而下的快照测量值与自下而上的清单,这是在《降低通胀法案》、石油和天然气甲烷伙伴关系 2.0 等自愿甲烷倡议以及企业战略等最近的监管要求中创建基于测量的、现场级别的排放清单的关键方面。