Perpustakaan Digital ITB

With many of Indonesia's oil fields reaching a mature stage, Enhanced Oil Recovery (EOR) methods are critical for maximizing national hydrocarbon production. This study evaluates the potential of CO? injection in three distinct Indonesian oil fields: Field X (carbonate), Field Y (sandstone-fluvial), and Field Z (sandstone-deltaic) using the CO?PM predictive model within the EORgui software. The research aims to identify the most influential reservoir and production parameters on recovery, compare performance across different geological settings, and develop a statistical model to quantify these relationships. A Two-Level Full Factorial Design of Experiments (DoE) was conducted for each field, and the results were analyzed using Pareto Charts and residual analysis. The findings consistently show that volumetric parameters specifically Pattern Area, Porosity, and Thickness with their interactions are the most statistically significant factors controlling cumulative oil production (Np), regardless of the depositional environment. While the DoE was successful in screening and ranking these key drivers, the resulting linear regression models exhibited non-normal residuals and non-constant variance, indicating that a more advanced model, such as one developed through Response Surface Methodology (RSM), is required for precise quantitative prediction.