4.7 Article

Intermittency of Large Methane Emitters in the Permian Basin

期刊

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.estlett.1c00173

关键词

-

资金

  1. NASA's Carbon Monitoring System and Advanced Information Information System Technology programs
  2. University of Arizona
  3. High Tide Foundation
  4. National Aeronautics and Space Administration [80NM0018D0004]

向作者/读者索取更多资源

The Permian Basin is the largest and fastest growing oil and gas producing region in the US, with 1100 unique methane emission sources identified through airborne surveys. Most emissions come from O&G production, and frequent high-resolution monitoring is needed to accurately pinpoint persistent leaks.
The Permian Basin is the largest and fastest growing oil and gas (O&G) producing region in the United States. We conducted an extensive airborne campaign across the majority of the Permian in September-November, 2019 with imaging spectrometers to quantify strong methane (CH4) point source emissions at facility-scales, including high frequency sampling to evaluate intermittency. We identified 1100 unique and heavy-tailed distributed sources that were sampled at least 3 times (average 8 times), showing 26% average persistence. Sources that were routinely persistent (50-100%) make up only 11% of high emitting infrastructure but 29% of quantified emissions from this population, potentially indicative of leaking equipment that merits repair. Sector attribution of plumes shows that 50% of detected emissions result from O&G production, 38% from gathering and boosting, and 12% from processing. This suggests a 20% relative shift from upstream to midstream compared to other US O&G basins for large emitters. Simultaneous spectroscopic identification of flares found that 12% of detected Permian CH4 plume emissions were associated with either active or inactive flares. Frequent, high-resolution monitoring is necessary to accurately understand intermittent methane superemitters across large, heterogeneous O&G basins and efficiently pinpoint persistent leaks for mitigation.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据