A gradient-boosted surrogate trained on about a million simulated metocean cases predicts FPSO mooring response statistics with small mean errors and is deployed for real-time operational monitoring.
Machine Learning for Fluid Mechanics,
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An application of machine learning to the motion response prediction of floating assets
A gradient-boosted surrogate trained on about a million simulated metocean cases predicts FPSO mooring response statistics with small mean errors and is deployed for real-time operational monitoring.