A Neuro-Fuzzy Approach to Screening Reservoir Candidates for EOR

Lateef Akanji, Rafael Sandrea


The challenge of discovering new reserves coupled with the current dwindling oil price has necessitated the need to generate and sustain long-term production from existing fields through improved or enhanced oil recovery (IOR/EOR) processes. There is however, no established mechanism to match the thousands of candidate reservoirs worldwide to the subtle and critical variations in reservoir properties that control the success of the many different EOR options. We present a neuro-fuzzy approach to screening potential hydrocarbon reservoirs for enhanced oil recovery (EOR) applications. First, reservoir field data from multiple successful thermal, miscible, chemical and biological EOR projects across different petroleum systems worldwide were trained to establish knowledge pattern and represent it using fuzzy rules. This is achieved by combining fuzzy technique with neural network learning capability to deduce knowledge from the EOR data in a form akin to linguistic rules. Then, the extracted knowledge pattern was validated and used to determine the combination of reservoir properties which could best characterise the key heterogeneities that control EOR success. The model output can be used in screening potential reservoir for EOR application.


Neuro-fuzzy; EOR; Reservoir screening; Artificial intelligence; Training and learning

Full Text:



HTML Source EditorWord Wrap

[1] Koottungal, L. (2014). Worldwide EOR survey. OGJ, 112.

[2] Taber, J. J., Martin, F. D., & Seright, R. S. (1997a). EOR screening criteria revisited-part 1: Introduction to screening criteria and enhanced recovery field projects. Society of Petroleum Engineers Journal (SPEJ), 12(3), 189-198.

[3] Thomas, S., & Farouq, A. (1994). Field experience with chemical oil recovery methods. Petroleum Society of CIM and AOSTRA (PETSOC), 94(5).

[4] Thukral, K., & Karuppasamy, M. (1991). Hydrocarbon development simulation of EOR applications. Energy, 16(9), 1207-1212.

[5] Taber, J. J., Martin, F. D., & Seright, R. S. (1997b). EOR screening criteria revisited - part 2: Applications and impact of oil prices. Society of Petroleum Engineers Journal (SPEJ), 12(3), 199-205.

[6] Alvarado, V., Ranson, A., HernÃa˛ndez, K., Manrique, E., Matheus, J., Liscano, T., & Prosperi, N. (2002). Selection of EOR/IOR opportunities based on machine learning. Paper presented at European Petroleum Conference, Aberdeen, UK.

[7] Dasari, A., Hui, N. B., & Chattopadhyay, S. (2012). A neuro-fuzzy system for modelling the depression data. International Journal of Computer Applications, 54(6), 0975-8887.

[8] Nauck, D., Klawoun, F., & Kruse, R. (1997). Foundations of Neuro-Fuzzy Systems. Chichester: Wiley.

[9] Mamdani, E. H., & Assilian, S. (1975). An experiment in linguistic synthesis with a fuzzy logiccontroller. International Journal of Man-Machine Studies, 7, 1-13.

[10] Jang, J.-S. R. (1993). ANFIS: Adaptive-network-based fuzzy inference system. Systems, Man and Cybernetics, IEEE Transactions on Systems, Man, and Cybernatics, 23(3), 665-685.

[11] Nauck, D., & Kruse, R. (1997). Aneuro-fuzzy method to learn fuzzy classification rules from data, fuzzy sets and systems. Fuzzy Sets and Systems, 89(3), 277-288.

[12] Scherer, R. (2009). Neuro-fuzzy relational systems for nonlinear approximation and prediction. Nonlinear Analysis: Theory, Methods and Applications, 71(12), 1420-1425.

[13] Takagi, T., & Sugeno, M. (1985). Fuzzy identification of systems and its applications to modeling and control. IEEE Transactions on Systems, Man, and Cybernetics, 15(1), 116-132.

DOI: http://dx.doi.org/10.3968/8743


  • There are currently no refbacks.

Copyright (c) 2016 Lateef Akanji, Rafael Sandrea

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Share us to:   


  • How to do online submission to another Journal?
  • If you have already registered in Journal A, then how can you submit another article to Journal B? It takes two steps to make it happen:

1. Register yourself in Journal B as an Author

  • Find the journal you want to submit to in CATEGORIES, click on “VIEW JOURNAL”, “Online Submissions”, “GO TO LOGIN” and “Edit My Profile”. Check “Author” on the “Edit Profile” page, then “Save”.

2. Submission

  • Go to “User Home”, and click on “Author” under the name of Journal B. You may start a New Submission by clicking on “CLICK HERE”.

We only use three mailboxes as follows to deal with issues about paper acceptance, payment and submission of electronic versions of our journals to databases:
caooc@hotmail.com; aped@cscanada.net; aped@cscanada.org

 Articles published in Advances in Petroleum Exploration and Development are licensed under Creative Commons Attribution 4.0 (CC-BY)


Address:1055 Rue Lucien-L'Allier, Unit #772, Montreal, QC H3G 3C4, Canada.

Telephone: 1-514-558 6138
Website: Http://www.cscanada.net
E-mail:office@cscanada.net;  office@cscanada.org

Copyright © 2010 Canadian Research & Development Centre of Sciences and Cultures