About This Course

This training covers computer-assisted history matching and the uncertainty workflows built around it. It works through experimental design and parameter screening, response surface and proxy model construction, optimisation algorithms and their behaviour, ensemble methods including ensemble Kalman and smoother approaches, Bayesian formulation of the matching problem, ensemble-based forecasting and the practical integration of these workflows into reservoir management.

Submit Your Details To Download Course Details

Please send me more details

By submitting this form, you hereby agree to the PEA website terms and conditions

Alternatively contact us on info@peassociations.com or for more details about the training.