New Correlation for Calculation of Hydrocarbon Gas Minimum Miscibility Pressure (MMP) Using Wide Experimental Data

摘要

The authors present a new empirically derived correlation for estimating the minimum miscibility pressure (MMP) required for multicontact miscible (MCM) displacement of reservoir petroleum by hydrocarbon gas flooding. Only few empirical correlations exist for determining the MMP. These correlations are often used to estimate the MMP without considering the composition of the injected gas. On the other hand these correlations are based on a limited set of experimental data, which are not quite applicable. In addition, in such correlations the complex condensing/vaporizing displacement process is not regarded. In this study, however, the derived correlation investigates the influence of the vaporizing/condensing drive mechanism and oil and gas composition on gas miscibility pressure. MMP has been correlated with temperature, oil composition, and injection gas composition. Their effect on hydrocarbon gas MMP has been documented by using sensitivity analysis by slim tube experimental data. The new correlation is based on regression of widely experimentally measured MMP data in literature and data derived from slim tube experiment in this study. By comparing the calculated MMPs from the improved correlation data with currently used correlations and experimentally measured data, it was found that the new correlation is significantly more accurate than other correlations.