Publications
17th May 2017
On Optimal Selection of Objective Grouping for Multi-Objective History Matching
Summary Multiobjective history matching has gained popularity in the last decade. It provides an ensemble of diverse set and good matched models that should lead to improved forecasting. Moreover, in some cases, multiobjective history matching provides faster and more-robust convergence than the single-objective approach. In multiobjective, objective components (usually groups of them) guide the algorithm …