Static Three Dimensional Simulation and Estimation of Reservoir Parameters Using Geostatistical Methods in One of Iranian Reservoirs

When we are talking about economic decisions concerning management of an exploratory field or reservoir، undoubtedly، the correct understanding and realistic explanation of reservoir can lead us to make valuable decisions and choosing appropriate plan in order to improve reservoir management and exploitation; Recoverable oil in place is the most important factor which affects these decisions. This study has been performed in order to make a three dimensional model of structure، stratigraphy، and petrophysical properties of one of Southern Iran reservoirs. Well logging and petrographic data as well as core analysis information were combined and put into an integrated workflow to took advantage of them to build probabilistic models of properties like porosity and water saturation (SW)، using geostatistical routines such as Kriging and Sequential Gaussian Simulation (SGS). Comparison of these methods clearly shows that results of Sequential Gaussian simulation are more acceptable. Finally، volumetric calculations have done using the most realistic model outputs and parameters. The averages of porosity، SW and oil in place have estimated 21%، 52%، and 270 million barrel respectively.