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Abstract
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MMP (Minimum Miscibility Pressure) calculation is a crucial step in designing enhanced oilrecovery processes, especially in porous media. In this study, we discuss the use of the PerturbedChain-Statistical Associating Fluid Theory Equation of State (PC-SAFT) to calculate MMP inporous media. The PC-SAFT EOS is known to provide accurate predictions for thethermodynamic properties of fluid mixtures, and has been successfully used in variousapplications including oil and gas industry. The porous media is modeled as a network of
interconnected pores, where the fluid mixture is assumed to be in thermodynamic equilibrium.The MMP is calculated by solving a set of equations that describe the phase behavior of the fluidmixture in the porous media. The equations take into account the capillary forces and theinterfacial tensions between the different phases. The results of the MMP calculations using PC-SAFT EOS in porous media are compared with experimental data from literature. Thecomparison shows that the PC-SAFT EOS provides accurate predictions of MMP in porousmedia for different types of fluid mixtures. The effects of different parameters such astemperature, pressure, and fluid composition on the MMP are also analyzed. In conclusion, theuse of PC-SAFT EOS for MMP calculations in porous media is a promising approach that canprovide accurate predictions for the design of enhanced oil recovery processes. The method canbe further developed to account for more complex phenomena such as the presence of solidparticles in the porous media.
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