Extrapolation Approaches for Creating Comprehensive Operator-level Measurement-Based Methane Emissions Inventories

Bailey K. Fosdick, Zachary Weller, Hon Xing Wong, Abigail Corbett, Yannik Roell, Ellie Martinez, Amanda Berry, Natalia Gielczowski, Kristian D. Hajny , Chris Moore

Measurement-based methane emissions inventories are essential for U.S. oil and natural gas operators to track their progress toward emissions targets and to demonstrate the impact of improved operational and monitoring practices. However, translating raw emission measurement data, whether from continuous monitoring systems, aerial flyovers, or operational cause analyses, into emissions inventories is nontrivial, and advertised inventory numbers are often void of any information about the methodology used to produce them. In this paper, we introduce the concept of a comprehensive measurement-based emissions inventory, which represents all emissions across the entire time frame, across all spatial assets, and of all emission sizes for the target scope. We carefully characterize some of the extrapolation efforts necessary to create a comprehensive emissions inventory estimate with data from either continuous monitoring systems or aerial flyover measurements. Understanding these methods is essential for operators and researchers desiring defensible emissions inventory reports that adhere to reporting frameworks such as Veritas and the Oil and Gas Methane Partnership 2.0. We provide simple examples to illustrate the sensitivity of annual emissions estimates to the various extrapolation approaches and highlight the challenges, strengths, and limitations when working with data from each of the technologies.