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DOI10.1088/1748-9326/ab6ae1
Repeated leak detection and repair surveys reduce methane emissions over scale of years
Ravikumar A.P.; Roda-Stuart D.; Liu R.; Bradley A.; Bergerson J.; Nie Y.; Zhang S.; Bi X.; Brandt A.R.
发表日期2020
ISSN17489318
卷号15期号:3
英文摘要Reducing methane emissions from the oil and gas industry is a critical climate action policy tool in Canada and the US. Optical gas imaging-based leak detection and repair (LDAR) surveys are commonly used to address fugitive methane emissions or leaks. Despite widespread use, there is little empirical measurement of the effectiveness of LDAR programs at reducing long-term leakage, especially over the scale of months to years. In this study, we measure the effectiveness of LDAR surveys by quantifying emissions at 36 unconventional liquids-rich natural gas facilities in Alberta, Canada. A representative subset of these 36 facilities were visited twice by the same detection team: an initial survey and a post-repair re-survey occurring ∼0.5-2 years after the initial survey. Overall, total emissions reduced by 44% after one LDAR survey, combining a reduction in fugitive emissions of 22% and vented emissions by 47%. Furthermore, >90% of the leaks found in the initial survey were not emitting in the re-survey, suggesting high repair effectiveness. However, fugitive emissions reduced by only 22% because of new leaks that occurred between the surveys. This indicates a need for frequent, effective, and low-cost LDAR surveys to target new leaks. The large reduction in vent emissions is associated with potentially stochastic changes to tank-related emissions, which contributed ∼45% of all emissions. Our data suggest a key role for tank-specific abatement strategies as an effective way to reduce oil and gas methane emissions. Finally, mitigation policies will also benefit from more definitive classification of leaks and vents. © 2020 The Author(s). Published by IOP Publishing Ltd.
英文关键词emissions reductions; leak detection and repair; methane emissions; policy effectiveness
语种英语
scopus关键词Gas industry; Leak detection; Methane; Stochastic systems; Surveys; Tanks (containers); Emissions reduction; Empirical measurement; Leak detection and repair; Methane emissions; Mitigation policies; Oil and Gas Industry; Optical gas imaging; Repair effectiveness; Gas emissions; abatement cost; action plan; detection method; emission control; environmental policy; industrial emission; leakage; lidar; methane; natural gas; pollution policy; repair; scale effect; stochasticity; survey method; Alberta; Canada; United States
来源期刊Environmental Research Letters
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/154091
作者单位Department of Systems Engineering, Harrisburg University of Science and Technology, Harrisburg, PA 17101, United States; Department of Energy Resources Engineering, Stanford University, Stanford, CA 94305, United States; Department of Chemical and Petroleum Engineering, University of Calgary, Calgary, AB, Canada; Clean Energy Research Centre and Department of Chemical and Biological Engineering, University of British Columbia, Vancouver, BC, Canada
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Ravikumar A.P.,Roda-Stuart D.,Liu R.,et al. Repeated leak detection and repair surveys reduce methane emissions over scale of years[J],2020,15(3).
APA Ravikumar A.P..,Roda-Stuart D..,Liu R..,Bradley A..,Bergerson J..,...&Brandt A.R..(2020).Repeated leak detection and repair surveys reduce methane emissions over scale of years.Environmental Research Letters,15(3).
MLA Ravikumar A.P.,et al."Repeated leak detection and repair surveys reduce methane emissions over scale of years".Environmental Research Letters 15.3(2020).
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