Interactive Visualization and Analysis of Optimization Algorithms and Large Parameter Spaces for Reservoir Geoscience and Engineering

Summary In this work we present novel techniques to support the understanding of multidimensional reservoir geoscience and engineering datasets, more specifically applied to history matching data. History matching is an inverse problem that attempts to tune parameters of a reservoir model in such a way that simulated data matches observed data. However, the solution of this problem is non-unique, i.e., multiple parameter combinations can lead to equally good matches. This work presents techniques that allow the engineers to analyze and compare different possible models and help the asset teams in decision making.