Geomechanical parameters play a key role in the oil and gas industry by assisting in the evaluation of reservoir rock properties, predicting formation behavior during drilling, and optimizing hydrocarbon production. In this study, geomechanical parameters were used to identify the most favorable hydrocarbon zones in an oilfield and to determine reservoir lithology. In the first stage, hydrocarbon-prone areas were identified using an integrated attribute defined as the product of geomechanical parameters and acoustic impedance, obtained from pre-stack seismic inversion. A decrease in the value of this composite attribute indicates a higher probability of hydrocarbon presence in the area. Subsequently, isochore maps were generated for the identified areas, and zones with the greatest thickness were selected as optimal targets for exploration, extraction, and production. After determining the precise drilling locations, the reservoir lithologies—including shale, limestone, gas-bearing limestone, and oil-bearing sandstone, which had been previously identified from drilling cuttings—were analyzed and differentiated using various geomechanical scatter plots. These plots included Young’s modulus versus Poisson’s ratio, Zₚ versus Vₚ/Vₛ, Mu-Rho versus Lambda-Rho, and Poisson’s ratio versus Lambda-Rho. The purpose of these plots was to accurately examine lithological variations based on seismic data and to enable reliable identification and classification of lithologies without the need for drilling. This approach provides a framework for future studies to enhance lithological identification by employing similar plots and consistent geomechanical trends. To assess the accuracy of the method, the compressional impedance and Young's modulus derived from seismic data were compared with corresponding well log values. A 90% match in acoustic impedance and over 80% agreement in Young's modulus confirm the method's accuracy and reliability in characterizing the geomechanical properties of the reservoir.