Partha Pratim Dev, Venture Manager, Offshore Engineering Structure at Rosenxt, explores what an offshore digital twin needs to do beyond providing a visual model. Focusing on oil and gas structures exposed to waves, wind and currents, he explains how measured responses can be compared with an engineering model to build a clearer picture of a structure’s condition.
The presentation places digital twins within structural health monitoring and integrity management. Sensors can provide evidence of how a structure responds in service, while a physics-based model helps engineers interpret that response. Comparing the two can improve assessments of condition, support inspection and maintenance planning, and inform decisions about an asset’s remaining life.
Partha challenges the idea that this requires a large, fully instrumented system from the outset. He describes a framework that can begin with simpler screening and develop through model updates, better understanding of loads and uncertainty, and detection of changes that may indicate damage. The level of detail should match the decision the organisation needs to make.
He also draws a clear limit around automation. A digital twin can process substantial amounts of information and help engineers reach decisions faster, but its results still need validation. In offshore structural work, false alarms and missed problems can both have serious consequences. Partha argues that engineering judgement and clear governance remain essential as these tools develop.
Watch the full presentation to hear Partha explain the offshore digital twin framework and the practical role of monitoring, modelling and validation in structural integrity decisions.
Speaker
- Partha Pratim Dev, Venture Manager, Offshore Engineering Structure, Rosenxt
