GA-Based Minimum Miscible Pressure Prediction
Minimum Miscible Pressure (MMP) is among key parameters to predict CO2 flooding performance during candidate reservoirs screening process. In this paper, key factors determining MMP are screened after investigation over previous researches, and then by seven samples of oil component, a reasonable empirical function is developed to predict MMP for reservoirs in China, of which coefficients are calculated by genetic algorithm (GA) to improve accuracy for further application. After comparison, it proves better prediction by new function than the ones already existed, which can be widely used for further MMP prediction for pilot reservoir in China.
Qunjie Xu, Honghua Ge and Junxi Zhang
S. Kun et al., "GA-Based Minimum Miscible Pressure Prediction", Advanced Materials Research, Vols. 361-363, pp. 530-533, 2012