Facies Simulation of Channel Bodies Using Multiple Point Geostatistics and Probability Perturbation - A Case Study

Through recent years, multiple point geostatistics (MPS) has been greatly used in reservoir simulation workflows due to its excellent ability to reproduce complex geobodies in simulation results. In this study, one of the MPS algorithms was applied to an extremely channelized carbonate reservoir. Different sources of data were integrated into this simulation workflow through creating the training image, soft conditioning data, and hard conditioning data. At the final stage of the simulation workflow, an optimization procedure was used to fully preserve the continuity and geometry of the channel bodies in the simulation results. This optimization process, which is based on probability perturbation, tackles the optimization problem as an integration process. The Tau model is used to integrate probability function from which the initial facies model is sampled with additional data in probability form. The geometry and continuity of channels in the final optimized facies models was fully preserved as expected to be according to the available seismic data.