The study presents a comprehensive analysis of well log data from the “XRO” oil field in the Central Swamp Depobelt of the Niger Delta. Logs analyzed include gamma ray, resistivity, neutron, density, and sonic, which were used to determine lithology and pore fluid content. Geomechanical properties (e.g., bulk modulus, shear modulus, Young’s modulus, Poisson’s ratio, Vp/Vs ratio) and petrophysical parameters (e.g., porosity, permeability, water saturation, shale volume, bulk volume of water) were computed using Interactive Petrophysics v4.6. Two distinct reservoir sands were identified across five wells (RO5–RO9), each exhibiting unique geomechanical and petrophysical characteristics. Net pay thicknesses ranged from 234.51 ft to 993.57 ft across sand units. For example, in RO5, sand units 1 and 2 had porosity of 0.386 and 0.338, and permeability of 91.36 mD and 73.11 mD respectively. High resistivity values across most reservoirs indicate hydrocarbon presence, except in RO8’s sand unit 1, where low resistivity suggests brine. The integration of these parameters enhances reservoir characterization and supports efficient hydrocarbon development strategies.