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多尺度油气设施甲烷测量揭示了改进排放核算的必要框架。

Multiscale Methane Measurements at Oil and Gas Facilities Reveal Necessary Frameworks for Improved Emissions Accounting.

机构信息

Data Science Program, Harrisburg University of Science and Technology, Harrisburg, Pennsylvania 17101, United States.

Department of Applied Mathematics and Statistics, Colorado School of Mines, Golden, Colorado 80401, United States.

出版信息

Environ Sci Technol. 2022 Oct 18;56(20):14743-14752. doi: 10.1021/acs.est.2c06211. Epub 2022 Oct 6.

DOI:10.1021/acs.est.2c06211
PMID:36201663
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9583612/
Abstract

Methane mitigation from the oil and gas (O&G) sector represents a key near-term global climate action opportunity. Recent legislation in the United States requires updating current methane reporting programs for oil and gas facilities with empirical data. While technological advances have led to improvements in methane emissions measurements and monitoring, the overall effectiveness of mitigation strategies rests on quantifying spatially and temporally varying methane emissions more accurately than the current approaches. In this work, we demonstrate a quantification, monitoring, reporting, and verification framework that pairs snapshot measurements with continuous emissions monitoring systems (CEMS) to reconcile measurements with inventory estimates and account for intermittent emission events. We find that site-level emissions exhibit significant intraday and daily emission variations. Snapshot measurements of methane can span over 3 orders of magnitude and may have limited application in developing annualized inventory estimates at the site level. Consequently, while official inventories underestimate methane emissions on average, emissions at individual facilities can be higher or lower than inventory estimates. Using CEMS, we characterize distributions of frequency and duration of intermittent emission events. Technologies that allow high sampling frequency such as CEMS, paired with a mechanistic understanding of facility-level events, are key to an accurate accounting of short-duration, episodic, and high-volume events that are often missed in snapshot surveys and to scale snapshot measurements to annualized emissions estimates.

摘要

从石油和天然气(O&G)部门减少甲烷排放代表了全球近期气候行动的一个关键机会。美国最近的立法要求用经验数据更新当前的石油和天然气设施甲烷报告计划。虽然技术进步已经导致甲烷排放测量和监测方面的改进,但缓解策略的整体有效性取决于比当前方法更准确地量化空间和时间变化的甲烷排放。在这项工作中,我们展示了一个量化、监测、报告和验证框架,该框架将快照测量与连续排放监测系统(CEMS)配对,以协调测量与清单估计,并考虑间歇性排放事件。我们发现,现场排放水平表现出显著的日内和每日排放变化。甲烷的快照测量可以跨越 3 个数量级,并且在开发现场水平的年度化清单估计方面可能具有有限的应用。因此,尽管官方清单平均低估了甲烷排放,但个别设施的排放可能高于或低于清单估计。我们使用 CEMS 来描述间歇性排放事件的频率和持续时间分布。允许高采样频率的技术,如 CEMS,加上对设施级事件的机械理解,是准确核算短期、突发和高容量事件的关键,这些事件通常会在快照调查中被遗漏,并将快照测量扩展到年度化排放估计。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07a8/9583612/4d9898c556da/es2c06211_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07a8/9583612/f5ee49e5dfa0/es2c06211_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07a8/9583612/8db769fbc282/es2c06211_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07a8/9583612/1d3cf9d207b3/es2c06211_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07a8/9583612/3ac3c016c300/es2c06211_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07a8/9583612/4d9898c556da/es2c06211_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07a8/9583612/f5ee49e5dfa0/es2c06211_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07a8/9583612/8db769fbc282/es2c06211_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07a8/9583612/1d3cf9d207b3/es2c06211_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07a8/9583612/3ac3c016c300/es2c06211_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07a8/9583612/4d9898c556da/es2c06211_0006.jpg

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