The injection of CO_(2 into oil reservoirs is performed not only to improve oil recovery but also to store CO_(2 captured from fuel combustion. The objective of this work is to develop a numerical simulator to predict quantitatively supercritical CO_(2 flooding behaviors for Enhanced Oil Recovery (EOR). A non-isothermal compositional flow mathematical model is developed. The phase transition diagram is designed according to the Minimum Miscibility Pressure (MMP) and CO_(2 maximum solubility in oil phase. The convection and diffusion of CO_(2 mixtures in multiphase fluids in reservoirs, mass transfer between CO_(2 and crude and phase partitioning are considered. The governing equations are discretized by applying a fully implicit finite difference technique. Newton-Raphson iterative technique was used to solve the nonlinear equation systems and a simulator was developed. The performances of CO_(2 immiscible and miscible flooding in oil reservoirs are predicted by the new simulator. The distribution of pressure and temperature, phase saturations, mole fraction of each component in each phase, formation damage caused by asphaltene precipitation and the improved oil recovery are predicted by the simulator. Experimental data validate the developed simulator by comparison with simulation results. The applications of the simulator in prediction of CO_(2 flooding in oil reservoirs indicate that the simulator is robust for predicting CO_(2 flooding performance.
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