Estimate of Porosity Distribution by Using Seismic Inversion and Geostatistics Methods in one of the Oil Fields of Iran

We analyse data acquired over a part of studied field how 3D seismic inversion and 3D geostatistical analysis can be used to predict porosity. The adopted techniques in this study are ordinary kriging and cokriging using well to well, well to seismic and seismic to seismic variograms. The result is a set of porosity simulations, all of which are equally probable. The simulations, computed as 3D volumes, are constrained to be in agreement with both log and seismic data and the geologic model for the reservoir. Summary maps can be used to view the average porosity in any layer or combination of layers. The integration of 3D geologic modelling and high resolution constrained model based seismic inversion has proven to be a useful tool in the exploration for hydrocarbons (Pendrel and Van Riel, 1997). We use the constrained model based inversion cube corresponding to the project data as a co-simulator. This is computed using all of the available information seismic, interpreted horizons, geology and logs. We using the estimated probability density functions (pdf’s) and variograms, we do 3D sequential spherical co-simulation of the porosity logs with the inversion impedance cube as the secondary input.