Integration of Static and Dynamic Data for Enhanced Reservoir Characterization, Geological Modeling and Well Performance Studies

Abstract

Abstract A new methodology is presented for reservoir characterization, geological modeling, and well performance prediction by integrating a complete suite of petrophysical and pressure transient test data to build a detailed geological reservoir model with anisotropy. Data used includes cores, openhole logs, wireline formation tester (WFT) pretests, and vertical interference tests (VIT), production logs, and downhole pressure buildup and injection falloff tests. Core data is first integrated with openhole logs and WFT pretests to build a detailed geological model. Vertical and horizontal permeabilities derived from the VITs were then integrated to have a geological model with anisotropy. With the model, a single-well numerical pressure transient analysis was performed by simultaneously history matching the packer and the probe pressures as well as pressure derivatives to identify the presence of tight reservoir streaks and quantify reservoir layer permeability ranges. The model is further refined and validated by comparing with dynamic data derived from production logs and downhole pressure build-up and injection fall off tests. This validated reservoir model was used in single well reservoir simulation studies to predict well performance and inferring insitu reservoir scale reservoir condition petrophysical properties such as relative permeability and capillary pressure.