An Effective EOS Based Modeling Procedure for Minimum Miscibility Pressure in Miscible Gas Injection

Document Type: Research Paper


1 School of Chemical Engineering, Iran University of Science and Technology

2 Thermodynamics Research Laboratory, School of Chemical Engineering, Iran University of Science and Technology, Tehran 16846-13114, Iran

3 Iran University of Science and Technology



The measurement of the minimum miscibility pressure (MMP) is one of the most important steps in the project design of miscible gas injection for which several experimental and modeling methods have been proposed. On the other hand, the standard procedure for compositional studies of miscible gas injection process is the regression of EOS to the conventional PVT tests. Moreover, this procedure does not necessarily result in an accurate calculation of the MMP. In this study, an effective procedure is presented using both conventional PVT and slim tube data in the regression to provide appropriate EOS parameters for field studies including miscible gas injection. In the first step, the EOS parameters were subjected to regression to the conventional PVT data. In addition, these parameters were then used as inputs for simultaneous regression to the conventional PVT and MMP data. MMP is modeled through the automated execution of a series of compositional simulation of slim tube. Moreover, the regression uses a stochastic optimization for minimizing an objective function (regression) have been coupled with two separate core calculations, (1) equilibrium calculations of the conventional tests and (2) compositional simulation of the slim tube. For evaluation, a number of real reservoir fluids from field data are used from reliable datasets in the literature. Finally, the promising results demonstrated that this procedure is capable to provide EOS parameters for accurate predictions in the miscible gas injection processes.



Ahmadi M. A., Zahedzadeh M., Shadizadeh S. R., and Abbassi R., “Connectionist Model for Predicting Minimum Gas Miscibility Pressure: Application to Gas Injection Process,” Fuel Journal, 2015, 148, 202-211.

Gasem K. A. M., Dickson K. B., Shaver R. D., and Robinson R. L., “Experimental Phase Densities and Interfacial Tensions for a CO2/Synthetic-Oil and a CO2/Reservoir-Oil System,” SPE Reservoir Engineering, 1993, 8(03), 170-174.

Yellig W. F. and Metcalfe R. S., “Determination and Prediction of CO2 Minimum Miscibility Pressures,” Journal of Petrol Technology, 1980, 30, 1-9.

Huang S. and Dyer B., “Miscible Displacement in the Weyburn Reservoir: A Laboratory Study,” Journal of Canadian Petroleum Technology, 1993, 32, 5-17.

Hagen S. and Kossack C. A., “Determination of Minimum Miscibility Pressure Using a High-Pressure Visual Sapphire Cell,” SPE Enhanced Oil Recovery Symposium, Tulsa, Oklahoma, 1986.

Zhou D. and Orr F. M., “An Analysis of Rising Bubble Experiments to Determine Minimum Miscibility Pressures,” SPE Journal, 1998, 3, 1-7.

Orr Jr F. M. and Jensen C. M., “Interpretation of Pressure-Composition Phase Diagrams for CO2/Crude-Oil Systems,” Society of Petroleum Engineers Journal, 1984, 24(05), 485-497.

Bryant D. W. and Monger T. G., “Multiple-Contact Phase Behavior Measurement and Application With Mixtures of CO2 and Highly Asphaltic Crude,” 1988, 3(02), 701-710.

Menzie D. E. and Nielsen R. F., “A Study of the Vaporization of Crude Oil by Carbon Dioxide Repressuring,” Journal of Petroleum Technology, 1963, 15(11), 1247-1253.

Wang Y. and Peck D. G., “Analytical Calculation of Minimum Miscibility Pressure: Comprehensive Testing and Its Application in a Quantitative Analysis of the Effect of Numerical Dispersion for Different Miscibility Development Mechanisms,” SPE/DOE Improved Oil Recovery Symposium, Tulsa, Oklahoma, 2000, 1-11.

Christiansen R. L. and Haines H. K., “Rapid Measurement of Minimum Miscibility Pressure With the Rising-Bubble Apparatus,” SPE Reservoir Engineering, 1987, 2, 522-527.

Harmon R. A. and Grigg R. B., “Vapor-Density Measurement for Estimating Minimum Miscibility Pressure (includes associated papers 19118 and 19500 ),” SPE Reservoir Engineering, 1988, 3, 1-8.

Abedini A., Mosavat N., and Torabi F., “Determination of Minimum Miscibility Pressure of Crude Oil–CO2 System by Oil Swelling/Extraction Test,” Energy Technology, 2014, 2, 431-439.

Liu Y., Jiang L., Tang L., and Song Y., “Minimum Miscibility Pressure Estimation for a CO2/n-Decane System in Porous Media by X-ray CT,” Experiments in Fluids, 2015, 56, 154.

Liu Y., Jiang L., Song Y., and Zhao Y., “Estimation of Minimum Miscibility Pressure (MMP) of CO2 and Liquid n-alkane Systems Using an Improved MRI Technique,” Magnetic Resonance Imaging, 2016, 34, 97-104.

Czarnota R., Janiga D., Stopa J., and Wojnarowski P., “Determination of Minimum Miscibility Pressure for CO2 and Oil System Using Acoustically Monitored Separator,” Journal of CO2 Utilization, 2017, 17, 32-36.

Zick A. A., “A Combined Condensing/Vaporizing Mechanism in the Displacement of Oil by Enriched Gases,” SPE Annual Technical Conference and Exhibition, New Orleans, Louisiana, 1986, 1-11.

Khorsandi S. and Johns R. T., “Tie-Line Solutions for MMP Calculations By Equations-of-State,” SPE Annual Technical Conference and Exhibition, Houston, Texas, USA, 2015.

Zhong Z. and Carr T. R., “Application of Mixed Kernels Function (MKF) Based Support Vector Regression Model (SVR) for CO2-Reservoir oil Minimum Miscibility Pressure prediction,” Fuel Journal, 2016, 184, 590-603.

Ahmadi M. A., Zendehboudi S., and James L. A., “A Reliable Strategy to Calculate Minimum Miscibility Pressure of CO2-oil System in Miscible Gas Flooding Processes,” Fuel, 2017, 208, 117-126.

Johns R. T. and Orr Jr. F. M., “Miscible Gas Displacement of Multicomponent Oils,” SPE Journal, 1996, 1(01), 39-50.

Wang Y. and Orr F. M., “Analytical Calculation of Minimum Miscibility Pressure,” Journal of Fluid Phase Equilibria, 1997, 139, 101-124.

Kanatbayev M., Meisingset K. K., and Uleberg K., “Comparison of MMP Estimation Methods with Proposed Workflow,” SPE Bergen One Day Seminar, Bergen, Norway, 2015.

Li L., Khorsandi S., Johns R. T., and Ahmadi K., “Multiple Mixing Cell Method for Three-Hydrocarbon-Phase Displacements,” SPE Improved Oil Recovery Symposium, Tulsa, Oklahoma, USA, 2015, 20(06), 1-339.

Ahmadi K. and Johns R. T., “Multiple-Mixing-Cell Method for MMP Calculations,” SPE Journal, 2011, 16(04), 733-742.

Rezaveisi M., Johns R. T., and Sepehrnoori K., “Application of Multiple-Mixing-Cell Method to Improve Speed and Robustness of Compositional Simulation,” SPE Journal, 2015, 20(03), 565-578.

Teklu T. W., Alharthy N., Kazemi H., and Yin X., “Minimum Miscibility Pressure in Conventional and Unconventional Reservoirs,” Unconventional Resources Technology Conference, 2013, 2206-2216.

Teklu T. W., Ghedan S. G., Graves R. M., and Yin X., “Minimum Miscibility Pressure Determination: Modified Multiple Mixing Cell Method,” SPE EOR Conference at Oil and Gas West Asia, Muscat, Oman, 2012, 1-13.

Johns R. T., Ahmadi K., Dengen Z., and Yan M., “A Practical Method for Minimum-Miscibility-Pressure Estimation of Contaminated CO2 Mixtures,” SPE Journal, 2010, 13(05), 764-772.

Khorsandi Kouhanestant S., “Mathematics of Multiphase Multiphysics Transport in Porous Media,” Energy and Mineral Engineering, The Pennsylvania State University, 2016.

Metcalfe R. S., Fussell D. D., and Shelton J. L., “A Multicell Equilibrium Separation Model for the Study of Multiple Contact Miscibility in Rich-Gas Drives,” SPE Journal, 1973, 13(03), 147-155.

Pederson K. S., Fjellerup J., Thomassen P., and Fredenslund A., “Studies of Gas Injection Into Oil Reservoirs by a Cell-to-Cell Simulation Model,” SPE Annual Technical Conference and Exhibition, New Orleans, Louisiana, 1986, 1-8.

Jaubert J. N., Wolff L., Neau E., and Avaullee L., “A Very Simple Multiple Mixing Cell Calculation To Compute the Minimum Miscibility Pressure Whatever the Displacement Mechanism,” Industrial and Engineering Chemistry Research, 1998, 37, 4854-4859.

Yan W., Michelsen M. L., and Stenby E. H., “Calculation of Minimum Miscibility Pressure Using Fast Slimtube Simulation,” SPE Improved Oil Recovery Symposium, Tulsa, Oklahoma, USA, 2012, 1-16.

Egwuenu A. M., Johns R. T., and Li Y., “Improved Fluid Characterization for Miscible Gas Floods,” SPE Reservoir Evaluation & Engineering, Society of Petroleum Engineers, 2008.

Negahban S. and Kremesec Jr. V. J., “Development and Validation of Equation-of-State Fluid Descriptions for CO2/Reservoir-Oil Systems,” 1992, 1-16.

Jaubert J. N., Avaullee L., and Pierre C., “Is It Still Necessary to Measure the Minimum Miscibility Pressure?,” Industrial and Engineering Chemistry Research, 2002, 41, 303-310.

Amao A. M., Siddiqui S., and Menouar H., “A New Look at the Minimum Miscibility Pressure (MMP) Determination from Slimtube Measurements,” SPE Improved Oil Recovery Symposium, Tulsa, Oklahoma, USA, 2012.

Emanuel A. S., Behrens R. A., and McMillen T. J., “A Generalized Method for Predicting Gas/Oil Miscibility,” SPE Journal, 1986, 1(05), 463-473.

Peng D. Y. and Robinson D. B., “A New Two-Constant Equation of State,” Industrial and Engineering Chemistry Fundamentals, 1976, 15, 59-64.

Jaubert J. N., Avaullee L., and Souvay J. F., “A Crude Oil Data Bank Containing more than 5000 PVT and Gas Injection Data,” Journal of Petroleum Science and Engineering, 2002, 34, 65-107.

Assareh M., Pishvaie M. R., Ghotbi C., and Mittermeir G. M., “Development of a New Workflow for Pseudo-component Generation of Reservoir Fluid Detailed Analysis: A Gas Condensate Case Study,” International Journal of Oil, Gas, and Coal Technology, 2014, 7, 275-297.

Kesler M. G. and Lee B. I., “Improve Prediction of Enthalpy Fractions,” Hydrocarbon Processing, International Edition, 1976, 55, 153-158·

Whitson C. H., “Topics on: Phase Behaviour and Flow of Petroleum Reservoir Fluids,” Doctoral Thesis, Department of Petroleum and Chemical Engineering, The University of Trondheim, Norwegian Institute of Technology, 1983.

Lohrenz J., Bray B. G., and Clark C. R., “Calculating Viscosities of Reservoir Fluids From Their Compositions,” Journal of Petroleum Technology, 1964, 16(10), 1-171.

Jhaveri B. S. and Youngren G. K., “Three-Parameter Modification of the Peng-Robinson Equation of State To Improve Volumetric Predictions,” SPE Reservoir Engineering, 1988, 3(03), 1-33.