Integrated Seismic and Petrophysical Characterization of A Clastic Reservoir Using Seismic Data and Well Logs in Bonny Area of Niger-Delta

Reservoir characterization is a fundamental component of hydrocarbon exploration and development because it provides critical insight into subsurface rock properties, fluid distribution and reservoir continuity. Accurate characterization plays a key role in reducing exploration risk, optimizing field development strategies and improving production forecasting. In this study, the integration of seismic data and well logs was important in other to have a standard approach for achieving a comprehensive understanding of the reservoir systems, as these datasets provide complementary information at different spatial scales. Here, seismic data offer broad lateral coverage of the subsurface, while well logs provide high-resolution vertical measurements of lithology and petrophysical properties. Despite their importance, access to high-quality field data is often restricted due to confidentiality, data ownership and cost constraints, particularly in academic and early-stage research environments. This study presents an integrated seismic and petrophysical characterization of a clastic reservoir in bonny area of niger-delta using well log and seismic data designed to represent subsurface conditions. Gamma ray, resistivity, density, and sonic logs were generated and used to identify reservoir lithology, estimate porosity and evaluate water saturation within the target interval. Rock physics relationships were applied to link petrophysical properties to elastic behavior, providing a physical basis for seismic interpretation. In addition, seismic attributes were analyzed to delineate reservoir geometry and assess lateral continuity beyond the well control. The results demonstrate that integrating seismic and petrophysical data significantly improves reservoir interpretation compared to single-domain analysis, reducing ambiguity associated with lithology and fluid effects. The strong consistency observed between petrophysical indicators and seismic responses confirms the robustness of the interpretation workflow. This study further demonstrates that the datasets, when properly constrained by geological and rock physics principles, can serve as reliable alternatives for reservoir characterization research and provide an effective platform for testing and validating geophysical interpretation workflows.