The Adaptive Plurigaussian Simulation (APS) Model Versus the Truncated Plurigaussian Simulation (TPS) Model Used in the Presence of Hard Data

Abstract

In this study, we present a comparison between the traditional truncated plurigaussian simulation (TPS) model conditioned to hard data (facies observations) and the adaptive plurigaussian simulation (APS) model in the presence of facies probability fields that incorporate hard data. In practice, the prior probability fields of the facies are developed by a group of experts (geologists, geophysicists, geo-modelers) in the early phase of the reservoir exploration, using various data, such as core information, seismic data, well log data, etc. Here we create ourselves a set of probability fields of the facies occurrence that incorporate the hard data and condition the plurigaussian simulation to it. We show that the APS is able to better quantify the prior uncertainty than the traditional TPS conditioned to hard data.