Integration of Petrophysical and Seismic Data to Construct a Reservoir Permeability Model

Abstract

This article demonstrates how to model permeability in different levels of a reservoir, integrating petrophysical and seismic data. In the first part of the present study seismic data is interpreted, including horizon and fault interpretations. Based on this, a reliable structural model of the prospect is built. In the second part, three common geostatistical techniques (including kriging, sequential Gaussian simulation, and collocated co-simulation) are employed to distribute permeability over the studied area such that it realistically preserves the reservoir heterogeneity and matches the well data. Validity of the results of each technique is checked by statistical methods like histogram analysis and cross validation approach. The proposed methodology is presented with an application to field information of a carbonate oil reservoir with a relatively high level of heterogeneity, located in the Persian Gulf, Iran. The results indicate that constructed 3D geological models provide realistic descriptions of reservoir permeability considering available geological interpretations of studied area.