A high-fidelity FPSO Structural Digital Twin (SDT) based on Reduced Basis Finite Element Analysis (RB-FEA) coupled with inspection data and physical sensor measurements (advisory hull monitoring system) is presented to demonstrate a complete FPSO "digital thread" that combines operational data feeds, detailed structural analysis based on as-is asset condition, and automated structural integrity reporting. This lays the groundwork for a philosophical shift for asset lifecycle management by enabling the use of "as-measured" conditions in lieu of assumed "design-conditions" for a more accurate, and robust understanding of asset health. We demonstrate the deployment of this methodology for the Bonga FPSO and discuss the value that it brings during day-to-day operations.

Keywords:
artificial intelligence, floating production system, sdt, floating production storage & offloading, assessment, load case, spectral fatigue analysis approach, subsea system, upstream oil & gas, modeling
Subjects:
Offshore Facilities and Subsea Systems, Information Management and Systems, Floating production systems
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