About This Course

This training covers machine learning applied to reservoir engineering problems. It works through subsurface data preparation and its particular difficulties, supervised and unsupervised methods, validation with correlated and limited data, physics-informed and hybrid modelling, proxy construction, production forecasting and well performance applications, interpretability requirements, and the deployment and governance of models used to support reservoir decisions.