Fugitive Methane Gas Emission Monitoring in oil and gas industry

Conference · Tue Aug 29 04:00:00 EDT 2017

OSTI ID:1435716

Klein, Levente ^[1]

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1. IBM TJ Watson Research Center

Identifying fugitive methane leaks allow optimization of the extraction process, can extend gas extraction equipment lifetime, and eliminate hazardous work conditions. We demonstrate a wireless sensor network based on cost effective and robust chemi-resistive methane sensors combined with real time analytics to identify leaks from 2 scfh to 10000 scfh. The chemi-resistive sensors were validated for sensitivity better than 1 ppm of methane plume detection. The real time chemical sensor and wind data is integrated into an inversion models to identify the location and the magnitude of the methane leak. This integrated solution can be deployed in outdoor environment for long term monitoring of chemical plumes.

• Research Organization: IBM TJ Watson Research Center
• Sponsoring Organization: USDOE Advanced Research Projects Agency - Energy (ARPA-E)
• DOE Contract Number: AR0000540
• OSTI ID: 1435716
• Report Number(s): DOE-IBM-0000540-17
• Country of Publication: United States
• Language: English