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Assessment of methane emissions from the U.S. oil and gas supply chain

  • Ramón A. Alvarez
  • , Daniel Zavala-Araiza
  • , David R. Lyon
  • , David T. Allen
  • , Zachary R. Barkley
  • , Adam R. Brandt
  • , Kenneth J. Davis
  • , Scott C. Herndon
  • , Daniel J. Jacob
  • , Anna Karion
  • , Eric A. Kort
  • , Brian K. Lamb
  • , Thomas Lauvaux
  • , Joannes D. Maasakkers
  • , Anthony J. Marchese
  • , Mark Omara
  • , Stephen W. Pacala
  • , Jeff Peischl
  • , Allen L. Robinson
  • , Paul B. Shepson
  • Colm Sweeney, Amy Townsend-Small, Steven C. Wofsy, Steven P. Hamburg
  • Environmental Defense Fund
  • University of Texas at Austin
  • Pennsylvania State University
  • Stanford University
  • Aerodyne Research, Inc.
  • Harvard University
  • National Institute of Standards and Technology
  • University of Michigan, Ann Arbor
  • Washington State University Pullman
  • Colorado State University
  • Princeton University
  • University of Colorado Boulder
  • National Oceanic and Atmospheric Administration
  • Carnegie Mellon University
  • University of Cincinnati

Research output: Contribution to journalArticlepeer-review

835 Scopus citations

Abstract

Methane emissions from the U.S. oil and natural gas supply chain were estimated by using ground-based, facility-scale measurements and validated with aircraft observations in areas accounting for ~30% of U.S. gas production. When scaled up nationally, our facility-based estimate of 2015 supply chain emissions is 13 ± 2 teragrams per year, equivalent to 2.3% of gross U.S. gas production. This value is ~60% higher than the U.S. Environmental Protection Agency inventory estimate, likely because existing inventory methods miss emissions released during abnormal operating conditions. Methane emissions of this magnitude, per unit of natural gas consumed, produce radiative forcing over a 20-year time horizon comparable to the CO2 from natural gas combustion. Substantial emission reductions are feasible through rapid detection of the root causes of high emissions and deployment of less failure-prone systems.

Original languageEnglish
Pages (from-to)186-188
Number of pages3
JournalScience
Volume361
Issue number6398
DOIs
StatePublished - Jul 13 2018

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