AI-Powered Digital Twin for FPSO Structural Health Monitoring

How China Offshore Engineering & Technology Co., Ltd., enabled real-time fatigue monitoring using Optimus.

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FPSO vessels operate under extreme marine conditions for decades. Structural fatigue, corrosion, and unpredictable loads make traditional monitoring approaches costly, sensor-heavy, and reactive.

Engineering teams face a tough balance:

Increasing safety and reliability
Controlling inspection and maintenance costs
Managing massive simulation and monitoring complexity

Using Optimus, a digital twin–based structural health monitoring framework was developed to:

Combine large-scale finite element simulations with AI surrogate models
Optimize sensor placement using intelligent algorithms
Predict real-time stress and fatigue with minimal physical instrumentation

Ready to reduce monitoring complexity in your assets?

Download the full case study

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