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has been cited by the following article:

• TITLE: Estimation of Minimum Miscibility Pressure for Flue Gas Injection Using Soft Experimentations

  AUTHORS: Oluwaseun Oyinloye, Naeema Al Darmaki, Mohamed Al Zarooni, Fathi Boukadi, Hildah Nantongo

  KEYWORDS: Empirical Correlation, Minimum Miscibility Pressure, Slim-Tube Soft Experimentation, Field-Scale Numerical Simulation, Flue Gas Injection

  JOURNAL NAME: Natural Resources, Vol.12 No.11, November 30, 2021

  ABSTRACT: A new approach is demonstrated in which soft experimentation can be performed for MMP measurements, thus replacing the common practice of slim tube displacement laboratory experiments. Recovery potential from oil reservoirs by miscible flue gas injection was studied by slim tube and field-scale numerical simulation using two flue gases and seven crude oils sampled at different depths in three candidate reservoirs. The soft experimentations were conducted using Eclipse300TM, a three-phase compositional simulator. This study investigates minimum miscibility pressure (MMP), a significant miscible gas injection project screening tool. Successful design of the project is contingent to the accurate determination of the MMP. This study evaluates effects of important factors such as injection pressure, oil component composition, and injection gas composition on the MMP and recovery efficiency for slim tube and field-scale displacements. Two applicable MMP correlations were used for comparison and validation purposes.