E&P Plus Digital Solutions: AI-powered Gas Leak Detection Technology Improves Workplace Safety

The new AI module provides pattern-finding automation for gas leak detection.

(Source: Blackline Safety)

Blackline Vision’s AI Gas Leak Detection module will provide customers with clusters of gas readings that have been measured across different personal gas detectors throughout time at a specific location on a work site. These groups are automatically detected and classified by the module using location-enabled data. (Source: Blackline Safety)

U.S. oil and gas companies are seeking new technologies to address an old problem: gas leaks. Many organizations have long relied on fixed hardware or manual assessments to monitor leaks. Naturally, the occurrence of a major leak requires immediate response, but detecting the source of a leak from the beginning can ensure a quick and safe correction or evacuation.

Blackline Vision, the data science team of Blackline Safety, is developing its AI Gas Leak Detection module, which resolves this issue by leveraging artificial intelligence (AI) to automate the process while providing situational awareness and connectivity. The module provides advance alerts of gas leaks by identifying patterns in low-level gas readings streamed to the Blackline Safety Cloud from G7 wearable gas monitors.

“The module’s algorithm automatically gathers a lot of data from all of the different devices and indicates where a leak or process fault is happening,” said Lohrasp Seify, lead of Blackline Vision. “This advance notice of a gas leak helps minimize unexpected future downtime while keeping workers safe.”

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Mary Holcomb

Mary Holcomb is an Associate Editor for HartEnergy.com's Digital News Group. She contributes to the company’s technology-based content such as subsea, seismic, digital oilfield, etc.