Integrated seismic and petrophysical analysis for improved hydrocarbon reservoir characterization

Accurate reservoir characterization is essential for efficient hydrocarbon exploration and production. Seismic interpretation provides valuable information about subsurface structures, while petrophysical analysis offers direct measurements of reservoir rock properties. Integrating these two approaches significantly improves the reliability of reservoir prediction and reduces uncertainties in subsurface interpretation. This study presents an integrated workflow combining 3D seismic interpretation, seismic attribute analysis, and well-log petrophysical evaluation to enhance hydrocarbon reservoir characterization. Structural interpretation of seismic data is used to identify faults, folds, and stratigraphic traps, while petrophysical analysis of well logs is applied to estimate key reservoir properties such as porosity, permeability, and water saturation. The integration of seismic and petrophysical datasets enables the development of a comprehensive reservoir model that accurately describes the spatial distribution of reservoir properties. Results demonstrate that the integrated interpretation approach improves reservoir prediction accuracy and supports more effective hydrocarbon exploration strategies.