November 2, 2020
Machine Learning for Subsea Pipeline Reeling Mechanics
This study describes the benefits of using approximation models as surrogates of heavy FEA models in the design of pipelines to capitalize on the data and alleviate the design cost.
Eric Giry, Julien Ginestet, Vincent Cocault-Duverger, Saipem SA, Martin Pauthenet, DATADVANCE