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Korean Chemical Engineering Research,
Vol.54, No.5, 606-611, 2016
Vol.54, No.5, 606-611, 2016
The Prediction of Minimum Miscible Pressure for CO2 EOR using a Process Simulator
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.
Keywords:
Minimum miscibility pressure; CO2 enhanced oil recovery; Process simulator; Slim tube experiment; MMP prediction
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