The prediction of minimum miscible pressure for CO2 EOR using a process simulator

Abstract

Carbon dioxide injection is a widely known method of enhanced oil recovery (EOR). It is critical for the CO2 EOR that the injected CO2 to reach a condition fully miscible with oil. To reach the miscible point, a certain level of pressure is required, which is known as minimum miscibility pressure (MMP). In this study, a MMP prediction method using a process simulator is proposed. To validate the results of the simulation, those are compared to a slim tube experiment and several empirical correlations of previous literatures. Aspen HYSYS is utilized as the process simulator to create a model of CO2/crude oil encounter. The results of the study show that the process simulator model is capable of predicting MMP and comparable to other published methods.