Fractured basement exploration is a globally proven play, with high potential shown in many fields. While all the basement rocks have hydrocarbon occurrence, felsic basements are profiled with high hydrocarbon flow due to extensive fault systems and excellent fracture networks. The recognition of the ideal basement type and compositional variation within a plutonic body (mafic versus felsic) can lead to increased exploration success. Lithofacies prediction within conventional reservoirs can be derived from seismic data, but the same workflow fails for basement exploration due to the complex origin of basement lithology. The application of wireline log data has been extensively used in sedimentary reservoirs, but not as extensively in basement rocks due to a limited understanding and application. In this study, the relationships between mineralogy, rock chemistry and log responses of basement reservoir were investigated using datasets obtained by robust wellsite analytical tools. The geochemical classification and wireline log based approach gives good results. The integrated workflow provides a robust technique for understanding the lithology and nature of basement rocks. This approach can be used in conjunction with other geophysical tools to improve the understanding of the drilled basement for a better geological modeling.


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