Static reservoir modeling using geostatistics method: a case study of the Sarvak Formation in an offshore oilfield

Abstract

Static reservoir modeling for optimizing the strategies of hydrocarbon field developments using seismic data and well logs is the focus of this study. The static reservoir modeling is conducted to estimate reservoir properties of the Upper Sarvak formation in one of the offshore oil fields in the Persian Gulf. The Sarvak Formation with middle Cretaceous age is considered as one of the most important productive oil and gas reservoirs in the south and southwest Iran. In this study, we have used seven well logs and 3D seismic data in geostatistical methods for reservoir modeling. The petrophysical parameters such as effective porosity and permeability have been estimated, using the sequential Gaussian simulation method. The evaluation of petrophysical parameters in the reservoir layer shows that the mean effective porosity and permeability are 12.75% and 51.5 mD, respectively. The evaluation of petrophysical parameters from the reservoir characteristic viewpoint demonstrated that a zone called A2 has the best reservoir quality. The well-log validation with core data has been achieved by a cross-validation method. The correlation coefficients derived from the permeability and core data are 86% and 81% for wells w-01 and w-03, respectively, which show that the Sequence Gaussian Simulation is an acceptable method. The result of this study can provide useful information for the development of hydrocarbon exploration studies and reservoir simulation models in this oil field.