A Bayesian mixture‐modeling approach for flow‐conditioned multiple‐point statistical facies simulation from uncertain training images

Abstract

Key Points Preserving prior higher‐order statistics of facies using flow data integration Incorporating the uncertainty in the training image during facies simulation Efficiently sampling from multiple training images based on flow response