ALmabrok Essa Essa, Sidike Paheding, Daniel P Prince



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Monitoring oil and gas leaks along pipeline right-of-way (ROW) is an important task for locating damages in pipeline infrastructures and protecting our environments from pollution. It also provides essential information for decision making in the monitoring of pipeline ROW, and taking rapid response to damaging events. Data captured by advanced sensors in manned and unmanned aircrafts provide information about oil/gas leaks. However, analyzing the massive amount of data received from these media requires extensive effort if performed by human analysts. Therefore, we propose a novel technology to detect oil and gas leaks by analyzing aerial infrared (IR) data. It is observed that the presence of oil/gas leaks are more easily detected by analyzing the IR spectrum. It is envisaged that by extracting the oil/gas leak features using advanced computer vision algorithms, the leaks can be detected automatically. The proposed technique can assist human analysts for taking further decision by reducing the search space for locating probable leaks.

Publication Date


Project Designation

Graduate Research

Primary Advisor

Vijayan K. Asari

Primary Advisor's Department

Electrical and Computer Engineering


Stander Symposium poster

Automated Oil/Gas Leak Detection System