Use of genetic algorithm to estimate CO2-oil minimum miscibility pressure-a key parameter in design of CO2 miscible flood

Our results suggest that a GA-based CO2-oil MMP correlation could be superior to other correlations commonly used. For example, compared to other correlations, the GA-based correlation yielded a better match with data with an average error of 5.86% and standard deviation of 7.96%, followed by Alston et al. correlation, which yielded an average error of 8.21% with a standard deviation of 10.04%. Among the correlations tested and compared against the GA-based correlation, Yellig and Metcalfe correlation yielded an error of 14%.