An ensemble of graph generative models for assisted history matching of the Brugge field case

A graph autoencoder approach was applied to history matching of a benchmark Brugge field. Each stratigraphic zone is modelled with its dedicated generative model that comprises a joint latent space for optimisation history matching loops. The optimisation search in the 160-dimensional joint latent space is done with the Covariance Matrix Adaptation Evolution Strategy.