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http://dx.doi.org/10.9713/kcer.2016.54.5.606

The Prediction of Minimum Miscible Pressure for CO2 EOR using a Process Simulator  

Salim, Felicia (Department of Chemical Engineering, Konkuk University)
Kim, Seojin (Department of Chemical Engineering, Konkuk University)
Saputra, Dadan D.S.M. (Department of Mineral Resources Engineering, Sejong University)
Bae, Wisup (Department of Mineral Resources Engineering, Sejong University)
Lee, Jaihyo (Department of Mechanical Engineering, Konkuk University)
Kim, In-Won (Department of Chemical Engineering, Konkuk University)
Publication Information
Korean Chemical Engineering Research / v.54, no.5, 2016 , pp. 606-611 More about this Journal
Abstract
Carbon dioxide injection is a widely known method of enhanced oil recovery (EOR). It is critical for the $CO_2$ EOR that the injected $CO_2$ 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 $CO_2$/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; $CO_2$ enhanced oil recovery; Process simulator; Slim tube experiment; MMP prediction;
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