facies modeling of heterogeneous carbonates reservoirs by multiple point geostatistics

Facies modeling is an essential part of reservoir characterization. the connectivity of facies model isvery critical for the dynamic modeling of reservoirs. carbonate reservoirs are so heterogeneous thatvariogram‐based methods like sequential indicator simulation are not very useful for facies modeling. inthis paper, multiple point geostatistics (mps) is used for facies modeling in one of the oil fields in thesouthwest of iran. mps uses spatial correlation of multiple points at the same time to characterize therelationships between the facies. a small part of the oil field, in the vicinity of the simulation grid, is used asa training image, in which there is 25 well data for creating suitable training image by the principalcomponent analysis (pca) method. in this study, mps is successfully applied to facies modeling and thespatial continuity of facies is reasonably reproduced. the facies model verifies the reproduction of faciesproportion in training image and wells. also, five wells are used for the cross correlation of the faciesmodel. the results indicate that the facies model shows a strong correlation with the facies of these fivewells. additional hard data, which is extracted from high confidence seismic data, is so useful for theimprovement of the facies model.