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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)
  • Received : 2015.09.03
  • Accepted : 2016.07.11
  • Published : 2016.10.01

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

References

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