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Subsea safety valve leak rate and leak fluid identification for environmental safety
An AI and machine learning system detecting leaks in subsea safety valves early, preventing equipment failure and environmental damage in offshore oil and gas operations.
Software developmentAI/MLAWS
The challenge
The client needed early detection of leaks in subsurface safety valves to mitigate equipment failure risk, minimize non-productive time through predictive modeling, and protect marine ecosystems while reducing the cost of physical inspection.
Our solution
- 3D volumetric sonar data capture for comprehensive subsea condition assessment.
- Machine learning and AI for interpreting complex sonar data and predictive modeling.
- Fluid flow and pressure data analysis to develop early leakage indicators.
- Significant reduction in physical inspection frequency.
Results
- Reduced risk of safety equipment failure through early leak detection.
- Increased revenue by lowering non-productive time and operational costs.
- Decreased environmental impact on marine ecosystems and animal life.
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