Unplanned compressor trips in Vapor Recovery Units (VRUs) reduce uptime, increase flaring, and raise emissions.
This case study shows how an AI + Fault Tree Analysis approach provided early event detection and guided root cause analysis, improving reliability while supporting ESG goals.
emissions.
What’s Inside:
- 10–15% improvement in VRU availability
- ~12% reduction in flaring and associated emissions over 3 months
- Targeted maintenance with RCA-based insights
- Standardized, auditable predictions for engineers & sustainability teams
Why It Worked:
- Built on historian data and OH notifications
- Combined machine learning with Fault Tree Analysis
- Delivered real-time dashboards with RCA paths
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AI applied to upstream production. Proven. Measurable. Sustainable.
