WHITEPAPER: Automating Hydrocarbon Leak Detection with AI-Powered Cameras

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Continuous visual monitoring of oil and gas facilities for hydrocarbon leaks, especially at high consequence areas, is challenging yet critical to mitigating adverse health, safety, environmental and financial impacts. This is due to delays in detection, verification and response that can be introduced through performance gaps with existing leak detection methods and uncertainty from environmental factors:

Leaks that occur in between periodic inspections can be missed.
Fixed non-visual sensors do not provide the visual confirmation needed for remote verification of alarms.
Detection sensitivities and transients introduced at valves and pumps can make certain sensors more susceptible to false alarms.
Deploying manned video surveillance, site visits and aerial scans more frequently or 24/7/365 is time consuming and expensive.
Dangerous weather conditions and hazardous areas affect personnel safety, impeding validation and corrective efforts.

AI-powered vision has been field proven to be effective and economical for monitoring hydrocarbon liquid and gas leaks remotely. The integrated IIOT solution utilizes the capabilities of thermal sensing with color imaging and real-time video analyzing AI at the edge. The result is accurate detection and reporting of product releases within seconds. The system performs consistently in all weather conditions, day or night, and without human assistance – providing operators with the two things they need to monitor and manage remote assets effectively: visibility and control.

To learn about how IntelliView’s technology, implemented at onshore and offshore facilities, improves monitoring capabilities while reducing costs and operational risks, DOWNLOAD THE “LIQUID HYDROCARBON LEAK DETECTION” WHITEPAPER NOW.