Improved MMP correlations for CO2 floods using analytical gasflooding theory

Local displacement efficiency from CO2 gas injection is highly dependent on the minimum miscibility pressure (MMP). Correlations are sometimes used to estimate the MMP where the injected fluid may or may not contain impurities such as methane. These correlations, however, are based on a limited set of experimental data and, as such, are not widely applicable. They also do not account accurately for the more complex condensing/vaporizing (CV) displacement process. This paper presents new MMP correlations for the displacement of multicomponent oil by CO, and impure CO, The approach is to use recently developed analytical theory for MMP calculations from equations of state (EOSs) to generate MMP correlations for displacements by pure and impure CO2.(1-8) The advantage of this approach is that MMPs for a wide range of temperatures and reservoir fluids can be calculated quickly and accurately without introducing uncertainties associated with slimtube MMPs and other numerical methods. The improved MMP correlations are based solely on the reservoir temperature, the molecular weight of C7+, and the percentage of intermediates (C-2-C-6) in the oil. The MMPs from the improved correlations are compared to currently used correlations and 41 experimentally measured MMPs. Correlations are also developed for impure-CO2 floods, in which the injection stream may contain up to 40% methane. The new correlations are more accurate for a wider ran-e of conditions than the currently used correlations.