Reliable turbine generators are critical to offshore production. A generator trip can affect more than the individual asset, with the
potential to disrupt production or contribute to a wider platform blackout.
In this case, the lube oil cooling system was not directly monitored by VROC, making the developing issue difficult to identify from that
component alone.
VROC was running live AI models across generator operating parameters, with a high-level health dashboard combining 36 AI models.
The bearing-temperature models began showing significant deviation from predicted behavior 18 days before the eventual trip.
Initial investigation found no bearing fault. Importantly, the lube oil and bearing temperatures were still below conventional alarm limits,
but the AI models continued to show significant deviation. Further investigation indicated a possible blockage in the lube oil cooling
system. A generator restart did not resolve the abnormal behavior, and the generator subsequently tripped on high lube oil
temperature.
The bearing-temperature models detected slight deviation from expected predictions well before the generator trip. The abnormal
pattern persisted following a restart, providing additional evidence that an underlying condition remained unresolved.
Earlier visibility
The AI models identified abnormal generator behavior 18 days before the eventual trip.
Operational continuity
The insights enabled the operations team to keep subsequent generators in operation, reducing the risk
of the turbine generator trip escalating into a platform blackout.
Estimated cost avoidance
Avoiding the associated production impact was estimated at approximately USD $157K, equivalent to
around 2,500 bbl.
VROC analyzes relationships across operational data to surface emerging deviations earlier, giving reliability and operations teamsmore time to investigate and respond.
Explore Deviation Management | Talk to Our Team
Industry: Oil and Gas
Solution: Predictive Maintenance & Reliability
Use Case: Deviation Management
Facility: Offshore Platform
Asset: Turbine Generator
Related case study: Preventing Turbine Generator Trips with 5.6 Days’ Warning
Gain real-time visibility, predict failure earlier, optimize performance, and take control of your operations with VROC’s integrated solutions.