An autonomous, Smart Methane Emission Detection System (SLED/M) currently under development by the Southwest Research Institute (SRI) is proving itself as a capable addition to the pipeline inspection market.
The project, funded by the US Department of National Energy Technology Laboratory, uses machine learning and passive optical sensor payloads to mitigate against emissions leaks.
A variety of benefits are associated with the system and include low false alarm rates for detections, real-time operations, the ability of the system to detect any common pipeline leak and also being able to produce spectral, spatial and temporal information.
Around 180 ‘types of tests’