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SENSITIVITY ANALYSIS OF C7+ PSEUDO-COMPONENT ACENTRIC FACTOR ON CO? SATURATION, CO? SATURATION DISTRIBUTION, AND RECOVERY FACTOR AS A REPRESENTATION OF CO? MICROBUBBLE INFLUENCE

CO? microbubble injection is an alternative EOR strategy for sub-MMP reservoir conditions; however, commercial reservoir simulators do not yet provide a dedicated mode for this mechanism. This study extends previous work by conducting a sensitivity analysis of the acentric factor of the C7+ pseudocomponent within a three-dimensional proxy reservoir model to evaluate its influence on CO? saturation distribution and recovery factor as a representation of CO? microbubble injection, using an indirect PVT tuning approach in the tNavigator compositional simulator. A 200 × 200 × 30 Cartesian grid model representing depleted reservoir conditions was constructed, and CO? saturation matching was performed against the experimental trends of Xue et al. (2014). Five sensitivity scenarios were evaluated by reducing the C7+ acentric factor by 5%, 10%, 15%, 20%, and 25% from the base matched value. Results showed that reducing the acentric factor consistently increased average CO? saturation, improved CO? saturation distribution along the reservoir, and enhanced oil recovery as represented by the recovery factor. Quadratic polynomial correlations between the acentric factor and recovery factor were established at three injection evaluation points with R² values above 0.97, valid within the range of 0.2625 ? ? ? 0.35. These findings confirm that the acentric factor of the C7+ component is the dominant PVT parameter whose variation significantly influences CO? distribution and oil recovery in the context of CO? microbubble injection representation using the tNavigator simulator

2026
👤 Penulis: Mohamad Rasyid
🏷️ Kecerdasan Buatan 🏷️ Analisis Sensitivitas 🏷️ Rekayasa Rantai Pasok Eor
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