Towards multi-scale measurement-informed methane inventories: reconciling bottom-up inventories with top-down measurements using continuous monitoring systems

Authors

  • William Daniels Department of Applied Mathematics and Statistics, Colorado School of Mines ,
  • Jiayang (Lyra) Wang Department of Petroleum and Geosystems Engineering, The University of Texas at Austin & Energy Emissions Modeling and Data Lab, The University of Texas at Austin ,
  • Arvind Ravikumar Department of Petroleum and Geosystems Engineering, The University of Texas at Austin & Energy Emissions Modeling and Data Lab, The University of Texas at Austin ,
  • Matthew Harrison SLR International ,
  • Selina Roman-White Cheniere Energy Inc. ,
  • Fiji George Cheniere Energy Inc. ,
  • Dorit Hammerling Department of Applied Mathematics and Statistics, Colorado School of Mines & Energy Emissions Modeling and Data Lab, The University of Texas at Austin

Abstract

Government policies and corporate strategies aimed at reducing methane emissions from the oil and gas sector increasingly rely on measurement-informed emissions 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 basin- and operator-level top-down measurements show lower methane emissions during end-of-project than during baseline 9-months earlier. However, gaps persist between end-of-project top-down measurements and bottom-up inventories, which we reconcile with high-frequency data from continuous monitoring systems (CMS). Specifically, we use CMS to (i) assess the validity of snapshot measurements and determine how they relate to the temporal emissions profile of a given site and (ii) create a near-real time, measurement-informed inventory that can be cross-checked with top-down measurements to update conventional bottom-up inventories. This work presents a real-world demonstration of how CMS can be used to reconcile top-down snapshot measurements with bottom-up inventories at the site-level. More broadly, it demonstrates the importance of multi-scale measurements when creating measurement-informed emissions inventories, which is a critical aspect of recent regulatory requirements in the Inflation Reduction Act, voluntary methane initiatives such as OGMP 2.0, and corporate strategies.

Content

Supplementary material

Towards multi-scale measurement-informed methane inventories: reconciling bottom-up inventories with top-down measurements using continuous monitoring systems - Supporting Information
This document contains additional information about the QMRV protocol, the field campaign, and the measurement results.