Quantifying Cost-effectiveness of Systematic Leak Detection and Repair Program Using Infrared Cameras
Summary
The report analyzes the cost-effectiveness of using infrared cameras for leak detection and repair (LDAR) programs in the oil and gas sector, based on data from over 4,000 surveys in North America.
Key insights
- Fugitive leaks from static seals on components such as valves, connectors, and regulators account for nearly 30% of methane emissions from onshore oil and natural gas facilities.
- LDAR programs utilizing infrared cameras to detect methane and volatile organic compounds (VOCs) can reduce emissions by 90% or more once emission rates are measured or estimated and repairs are conducted.
- The analysis is based on a database derived from 4,293 surveys of facilities in the USA and Canada, which identified 58,421 components that were either venting or leaking gas, with leaks specifically detected in 39,505 components.
Cite the original document
- APA
- Clean Air Task Force (2014). Quantifying Cost-effectiveness of Systematic Leak Detection and Repair Program Using Infrared Cameras. https://www.catf.us/resource/quantifying-cost-effectiveness-ldar/
- Chicago
- Clean Air Task Force. Quantifying Cost-effectiveness of Systematic Leak Detection and Repair Program Using Infrared Cameras. 2014. https://www.catf.us/resource/quantifying-cost-effectiveness-ldar/.
- Wikipedia
- {{cite report |author=Clean Air Task Force |title=Quantifying Cost-effectiveness of Systematic Leak Detection and Repair Program Using Infrared Cameras |date=14 March 2014 |url=https://www.catf.us/resource/quantifying-cost-effectiveness-ldar/ |access-date=23 October 2026 |via=Climate Insights Directory}}
- BibTeX
- @techreport{cleanairtaskforce2014quantifying, author = {{Clean Air Task Force}}, title = {{Quantifying Cost-effectiveness of Systematic Leak Detection and Repair Program Using Infrared Cameras}}, institution = {Clean Air Task Force}, year = {2014}, month = mar, url = {https://www.catf.us/resource/quantifying-cost-effectiveness-ldar/}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }
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