Document Type : Research Paper


1 Assistant Professor, Department of Petroleum Engineering, Petroleum University of Technology, Ahwaz, Iran

2 M.S. of Petroleum Engineering, Department of Petroleum Engineering, Omidiyeh Branch, Azad University, Omidiyeh, Iran



Enhanced oil recovery (EOR) is a vital part of the process of oil production from sandstone and carbonate reservoirs. Maintaining and increasing oil production from many fields require proper selection, design, and implementation of EOR methods. The selection of EOR methods for specific reservoir conditions is one of the most difficult tasks for oil and gas companies. Screening of different EOR techniques considering previous experiences from the methods applied in other fields is a first step in the recommendation of any costly EOR operations. In this paper, EORgui software was utilized to screen eight enhanced oil recovery methods in one of Iran’s offshore sandstone oil fields. The reservoir is composed of two sections with different fluid properties, namely API, viscosity, and oil composition, but relatively homogeneous rock properties and high permeability (1500 mD). The results show that polymer flooding is technically the most suitable enhanced oil recovery method in the upper zone of the reservoir with a high percentage matching score of 90%, and immiscible gas injection with a matching score of 83% is ranked second. For the lower part of the reservoir containing a fluid with much higher viscosity, immiscible gas injection (83% matching) can be recommended. Furthermore, polymer flooding predictive module (PFPM) was utilized to investigate the impact of polymer concentration on oil recovery performance of the upper part with an ultimate recovery of about 40% at the optimum concentration.


  • One of Iran’s offshore oil fields was screened for enhanced oil recovery methods.
  • The reservoir was sectioned into two parts with different fluid properties.
  • Polymer flooding was ranked first with maximum matching with the screening criteria in the upper zone of the reservoir, and immiscible gas injection was selected for the other section of the reservoir.


Main Subjects

Al Adasani, A., Bai, B., Analysis of EOR Projects and Updated Screening Criteria, Journal of Petroleum Science and Engineering, Vol. 79, p. 10–24, 2011.

Aluhwal, H., Kalifa, O., Simulation Study of Improving Oil Recovery by Polymer Flooding in A Malaysian Reservoir, Master's Thesis, University Technology Malaysia, 2008.

Alvarado, V., Manrique, E., Enhanced Oil Recovery, Burlington, USA, Gulf Professional Publishing, Elsevier, p. 53–64, 2010.

Alvarado, V., Ranson, A., Hernández, K., Manrique, E., Matheus, J., Liscano, T., Prosperi, N., Selection of EOR/IOR Opportunities Based on Machine Learning, SPE 13th European Petroleum Conference, Aberdeen, Scotland, U.K., p. 29–31, 2002.

Ayirala, S.C., Yousef, A.A., Injection Water Chemistry Requirement Guidelines for IOR/EOR, SPE Improved Oil Recovery Symposium, Tulsa, Oklahoma, USA, p. 1–4, 2014.

Bang, V., A New Screening Model for Gas and Water Based EOR Processes, SPE Enhanced Oil Recovery Conference, Society of Petroleum Engineers, Kuala Lampur, Malaysia,2013.

Bondor, P.L., Hite, J.R., Avasthi, S.M., Planning EOR Projects in Offshore Oil Fields, SPE Latin American and Caribbean Petroleum Engineering Conference, Society of Petroleum Engineers, Rio De Janeiro, Brazil, p. 20–23, 2005.

Brodie, J.A., Zhang, P., Mellemstrand Hetland, S., Moulds, T.P., Jhaveri, B.S., BP North Sea Gas Injection Projects: Sustaining Offshore Production, International Petroleum Conference and Exhibition. Society of Petroleum Engineers Abu Dhabi, UAE, p. 11–14, 2012.

EORgui 1.1 Software Technical Manual, www.Petroleumsolutions, Co. UK, Petroleum Solutions Ltd, 2005–2010.

Fereidooni, A., Fereidooni, M., Moradi, S., Zargar, Gh., Prediction of Nitrogen Injection Performance in Conventional Reservoirs Using the Correlation Developed by The Incorporation of Experimental Design Techniques and Reservoir Simulation, Iranian Journal of Oil & Gas Science and Technology, p. 43–54, 2012.

Gharbi, R.B.C, Application of an Expert System to Optimize Reservoir Performance. Journal of Petroleum Science and Engineering, Vol. 49, No. 49, p. 261–273, 2005.

Gharbi, R.B.C., An Expert System for Selecting and Designing EOR Processes, Journal of Petroleum Science and Engineering, Vol. 27, No. 27, p. 33–47, 2000.

Green, D.W., Willhite, G.P., Enhanced Oil Recovery, SPE Textbook Series, Society of Petroleum Engineers, Richardson, Texas, Vol 6, 1998.

Herna´Ndez, K.Y., Liscano, T., Ranson, A., Manrique, E., Matheus, J., Alvarado, V., Use of Machine Learning for EOR Method Selection in Venezuelan Reservoirs, IEA Collaborative Project on Enhanced Oil Recovery, 23rd International Workshop and Symposium, Caracas, 2002.

Internal Documentation of Field A, Department of Reservoir Engineering, Iranian Offshore Oil Company (IOOC), National Iranian Oil Company (NIOC), 2016.

Ivanov, E. N., Kononov, Y. M., Software Tool for Selection of Enhanced Oil Recovery Methods in Western Siberia Oil Fields, 16th International Scientific Symposium of Students, Tomsk Polytechnic University Publishing House, p. 808–809, 2012.

Jensen, T. B., Harpole, K. J., Osthus. A., EOR Screening for Ekofisk, SPE European Petroleum Conference, Paris, France, p. 24–25, 2000.

Kamari, A., Mohammadi. A. H., Screening of Enhanced Oil Recovery Methods, Handbook on Oil Production Research, the USA, p. 284–295, 2014.

Khojastehmehr, M., Madani, M., Daryasafar, A., Screening of Enhanced Oil Recovery Techniques for Iranian Oil Reservoirs Using TOPSIS Algorithm,  Energy Reports, p. 529–544, 2019.

Knobloch, L. O., Hincapie Reina, R. E., Födisch, H., Ganzer, L., Qualitative and Quantitative Evaluation of Permeability Changes During EOR Polymer Flooding Using Micromodels, World Journal of Engineering and Technology, Vol. 6, p. 332–349,2018.

Kuuskraa, V.A., Malone, T., CO2 Enhanced Oil Recovery for Offshore Oil Reservoirs, Offshore Technology Conference, Houston, Texas, USA,2016.

Lake, L.W., Enhanced Oil Recovery, published by Prentice-Hall Inc., Englewood Cliffs, 1989.

Manrique, E., Izadi, M., Kitchen, C. Alvarado, V., Effective EOR Decision Strategies with Limited Data: Field Cases Demonstration, Proceeding of SPE/DOE Symposium on Improved Oil Recovery, Tulsa, 2008.

Mishra, S., Bera, A., Mandal, A., Effect of Polymer Adsorption on Permeability Reduction in Enhanced Oil Recovery, Journal of Petroleum Engineering, p. 1–9, March, 2014.

Mohammadi, H., Mechanistic Modeling, Design and Optimization of Alkaline/Surfactant/Polymer Flooding, Ph.D. Thesis, University of Texas, Austin, p. 428, 2008.

Moreno, J.E., Gurpinar, O.M., Liu, Y., Al-Kinani, A., Cakir, N., EOR Advisor System: A Comprehensive Approach to EOR Selection, International Petroleum Technology Conference, Kuala Lumpur, Malaysia,2014.

Pan-Sang, K., Jong-Se, L., Chun, H., Screening Criteria and Considerations of Offshore Enhanced Oil Recovery, Energies,2016.

Ramazani, S. A., Nourani, M., Emadi, M. A., Esfad, N. J., Analytical and Experimental Study to Predict the Residual Resistance Factor on Polymer Flooding Process in Fractured Medium, Journal of Transport in Porous Media, p. 825– 840, 2010.

Salehi, M.M., Hekmatzadeh, A., Sajjadian, V.A., Masoumi, M., Simulation of Polymer Flooding in One of the Iranian Oil fields, Egyptian Journal of Petroleum, 2016.

Shokir, E.L.M., Goda, H.M., Sayyouh, M.H., Fattah, K.H., A Selection and Evaluation EOR Method Using Artificial Intelligence, SPE Annual International Conference and Exhibition, Abuja, Nigeria, 2002.

Skauge, A., Salmo, I., Relative Permeability Functions for Tertiary Polymer Flooding, 18th European Symposium on Improved Oil Recovery, Dresden, Germany, 2015.

Suleimanov, B.A., Ismayilov, F.S., Dyshin, O.A., Veliyev, E.F., Selection Methodology for Screening Evaluation of EOR Methods, Petroleum Science and Technology, Vol. 34, p. 961–970, 2016.

Sun, Y., Saleh, L., Bai, B., Measurement and Impact Factors of Polymer Rheology in Porous Media, Rheology, Petroleum Engineering Program, Missouri University of Science and Technology, Rolla, Missouri, USA, p. 187–202, 2012.

Taber, J. J., Martin, F. D., Seright. R. S., EOR Screening Criteria Revisited – Part 1: Introduction to Screening Criteria and Enhanced Recovery Field Projects, Proceeding of SPE/DOE Improved Oil Recovery Symposium, Tulsa, Oklahoma, p. 189–198,1996.

Trujillo, M., Mercado, D., Maya, G., Castro, R., Soto, C., Pérez, H., Gómez, V., Sandoval, J., Selection Methodology for Screening Evaluation of Enhanced Oil Recovery Methods, Proceeding of SPE Latin American and Caribbean Petroleum Engineering Conference, Lima, Peru, 2010.

Veedu, F. K., Scale-Up Methodology for Chemical Flooding, M.S. Thesis, University of Texas, Austin, 2010.

Vieira, R.A., Pizarro, J.O., Oliveira, L.A., Oliveira, D.F., Passarelli, F.M., Pedroni, L.G., Offshore EOR Initiatives and Applications in Brazil: An Operator Perspective. Offshore Technology Conference, 2020.

Zhang, N., Wei, M., Fan, J., Aldhaheri, M., Zhang, Y., Bai, B., Development of A Hybrid Scoring System for EOR Screening by Combining Conventional Screening Guidelines and Random Forest Algorithm, Fuel, Vol. 256, p. 115915, 2019.