POWER OF AI: Oil and gas sector drills down into methane emissions data

With market and regulatory pressures pushing the oil and gas sector to cut methane emissions, drillers and pipeline operators are turning to artificial intelligence to fill the gaps in their technical expertise and determine the severity of emissions events to achieve lower-emission gas production and transport.

Oil and gas producers have their own set of emissions challenges at well sites, as well as their own set of in-the-works regulations that target methane emissions, which data companies such as Project Canary are out to address with continuous monitoring systems and machine learning.

Project Canary got its start in the market as a third-party gas certifier but has since pivoted to mainly emphasize providing more specialized emissions data, with its new commercial modus operandi being to "differentiate" gas with its data services rather than to certify it as "responsibly sourced."

The company has close to 60 customers across US shale basins utilizing its continuous monitoring technologies, which feed data retrieved at well sites and other facilities through machine learning models.

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