Geostatistical Modeling of Spatial Distribution of Porosity in the Asmari Reservoir of Mansuri Oil Field in Iran

Petrophysical information of reservoir is always the main source of data to characterize the reservoir performance. As the data are restricted to drilled wells in reservoir, the only way to determine desired values away from the wells are statistical and simulation methods. One of the methods is geostatistical technique. The principles of this technique are to apply existing data, find the patterns of spatial variations and use this knowledge to derive over the whole field the best estimates. In this study porosity data of 53 wells of Mansuri oilfield in Asmari reservoir was used. Geostatistical methods (ordinary kriging) used to determine the spatial distribution of porosity and error estimation. Finally, four realizations of Porosity distribution are generated using sequential Gaussian simulation. Porosity distribution of the studied field has a higher continuity in NW-SE direction but its value decreases toward the NW and SE.