3D Stochastic Modeling for Reservoir Characterization and Application

Abstract

The reservoir is the accumulation spaces and development targets of hydrocarbon, always draw attention of researchers who participated in hydrocarbon exploration and development. The goal of reservoir characterization is to delineate precisely and completely the geologic variations for reservoirs in 3D distribution by the application of all kinds of useful data channel, so that it can give a reliable reference for the further reservoirs development. However, stochastic modeling has become the dominant tool for reservoir characterization because it can both simulate the reservoir heterogeneity and quantitatively characterize reservoir. Aimed at reservoirs in well block X26-X27 of Xiazijie Oilfield, on basis of reservoir structure, sedimentary microfacies, logging interpretation and reservoir heterogeneity research, the geologic dataset is established, and the 3D models, such as reservoir structure, logging interpretation and reservoir attributes, were all worked out by the application of stochastic modeling technique and 3D visualized technique to this area, furthermore, the testing and modification for facies analysis and classification were conducted in order to unravel the consistent micro-facies and reservoir property distribution, so that it will serve well for the identification and fine description and reservoir dynamic simulation.