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Perfect delineation of hydrocarbon prospect zones is optimum importance in petroleum explorations. This is basically dependent on identification of good reservoirs and subsurface structural or statigraphical features that are capable of trapping hydrocarbon. The knowledge of these structures and the properties of the subsurface helps to reduce the uncertainties associated with petroleum explorations and production. Nine wireline well logs with two wells having check shots and 3D seismic data were collected from SPDC. They were studied and proper analysis were carried out for a better results. This study focuses on the reservoir characterization and 3D static modelling of “E” reservoir in “IZU FIELD” to facilitate volumetric estimation. The “IZU FIELD” is located within the coastal swamp depobelt of Niger Delta, Nigeria with a total of nine wells drilled. The different lithologies were identified and correlated among the nine wells and the reservoir facies evaluation was analysed with the integration of gamma ray logs and seismic facies. The depositional environment is mainly transitional, with channel sands and upper shoreface deposits as delineated from well logs.Using the data integrated, a data driven conceptual model was built for the reservoir which serves as a precursor for the 3D static model. A total of 50 faults were interpreted and the faulting patterns identified included collapsed crestal structures, back to back, growth and listric faults, with the collapsed crestal feature as the most faulting trend. The “E” sand horizon was interpreted both in inline and crossline and the reservoir closure in the block of interest was identified as fault dependent closure. The average of Well 10 and 9 Vo_K velocity were used in depth conversion because of its lowest residual of 40ft. Petrophysical parameters including Net-Gross, porosity were created from gamma ray log and density log respectively with low, base and high case models built based on varying sand cut off. The deterministic low, base and high case in place volumes of 22, 26, and 30 MMSTB oil and 27.3, 33.3 and 39.2 Bscf of gas for the reservoir. Sensitivity analysis using a tornado chart to evaluate the impact on the STOIIP parameters on the hydrocarbon in place volume were done and it showed that the GRV (gross rock volume) had the highest impact.
