Abstract: A method for creating a facies probability cube is disclosed. A S-grid containing facies is first created. The grid includes layers of cells and columns of cells. Vertical facies proportion data for the layers of cells is derived from sources such as well data, conceptual vertical geologic sections and graphs describing the proportion of facies found in each of the layers. Areal depocenter maps are created which have defined boundaries to create depocenter regions in which respective facies are likely to occur. Ideally, the boundaries for the depocenter regions for each of the facies are sequentially and independently defined. Horizontal or map facies proportion data are generated for the columns of cells preferably by filtering the depocenter regions so that the proportion of each of the facies ranges from a maximum value to a minimum value.

Abstract: A method for creating a reservoir facies model is disclosed. A S-grid is created which is representative of a subterranean region to be modeled. A training image is constructed which includes a number of facies. The training image captures facies geometry, associations and heterogeneity among the facies. A facies probability cube corresponding to the S-grid is derived from a geological interpretation of the facies distribution within the subterranean region. Finally, a geostatistical simulation, preferably a multiple-point simulation, is performed to create a reservoir facies model which utilizes the training image and facies probability cube and is conditioned to subsurface data and information. Ideally, the facies probability cube is created using an areal depocenter map of the facies which identifies probable locations of facies within the S-grid.