Felicia Salim | Konkuk University (original) (raw)

Felicia Salim

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Papers by Felicia Salim

Research paper thumbnail of Case study of surge avoidance design for centrifugal compressor systems during emergency shut-down (ESD)

Korean Journal of Chemical Engineering, 2016

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

Korean Chemical Engineering Research, Oct 1, 2016

Carbon dioxide injection is a widely known method of enhanced oil recovery (EOR). It is critical ... more 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.

Research paper thumbnail of Case study of surge avoidance design for centrifugal compressor systems during emergency shut-down (ESD)

Korean Journal of Chemical Engineering, 2016

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

Korean Chemical Engineering Research, Oct 1, 2016

Carbon dioxide injection is a widely known method of enhanced oil recovery (EOR). It is critical ... more 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.

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