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. 2018 Jul 13;361(6398):186-188.
doi: 10.1126/science.aar7204. Epub 2018 Jun 21.

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

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

Ramón A Alvarez et al. Science. .

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.

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Conflict of interest statement

Competing interests: none declared.

Figures

Figure 1.
Figure 1.
Comparison of this work’s bottom-up (BU) estimates of methane emissions from oil and natural gas (O/NG) sources to top-down (TD) estimates in nine U.S. O/NG production areas. (O/NG) sources to top-down (TD) estimates in nine U.S. O/NG production areas. A: relative differences of the TD and BU mean emissions, normalized by the TD value, rank ordered by natural gas production in billion cubic feet per day (bcf/d, where 1 bcf = 2.8 × 107 m3). Error bars represent 95% confidence intervals. B: distributions of the 9-basin sum of TD and BU mean estimates (blue and orange probability density, respectively). Neither the ensemble of TD-BU pairs (A) nor the 9-basin sum of means (B) are statistically different (p=0.13 by a randomization test, and mean difference of 11% [95% confidence interval of −17% to 41%]).

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