b69120dc-f8bd-4047-8b5e-f35ded25b4ec20250915120306042wseas:wseasmdt@crossref.orgMDT DepositEngineering World2692-507910.37394/232025https://wseas.com/journals/ew/232025232025710.37394/232025.2025.7https://wseas.com/journals/ew/2025.phpCharley IykeAnyadiegwuDepartment of Petroleum Engineering, Federal University of Technology, PMB 1526, Owerri, Imo State, NIGERIAChristian EmeluOkallaDepartment of Petroleum Engineering, Federal University of Technology, PMB 1526, Owerri, Imo State, NIGERIAAnthonyKerunwaDepartment of Petroleum Engineering, Federal University of Technology, PMB 1526, Owerri, Imo State, NIGERIAChukwuebuka DestinyUzorRWTH Aachen University, GERMANYJoy ChiamakaUzohDepartment of Petroleum Engineering, Federal University of Technology, PMB 1526, Owerri, Imo State, NIGERIAAniyom EbenezerAnaniyomDepartment of Petroleum Engineering, Federal University of Technology, PMB 1526, Owerri, Imo State, NIGERIAChukwuebuka FrancisDikeDepartment of Petroleum Engineering, Federal University of Technology, PMB 1526, Owerri, Imo State, NIGERIAAccurate Pressure-Volume-Temperature (PVT) analysis is crucial for understanding reservoir fluid behavior and optimizing hydrocarbon production. This study develops a robust model for PVT analysis to enhance the characterization of reservoir fluids and improve reservoir management. The study employed regression analysis, Decision Tree Regressor, and a comparative Neural Network approach to evaluate relationships between critical parameters such as gas-oil ratio (GOR), reservoir temperature, gas specific gravity, oil gravity, and the oil formation volume factor (OFVF). Findings revealed complex non-linear correlations, with gas specific gravity and bubble point pressure emerging as the most influential predictors. The Decision Tree Regressor achieved high accuracy (R² = 96.44%), while the Neural Network provided comparable performance. An expanded error analysis, numerical example, and discussion on reservoir stabilization are presented. The study underscores the significance of high-quality reservoir fluid sampling and data interpretation, emphasizing representative data to reduce uncertainties in modeling. 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