Application of a hybrid system of genetic algorithm & fuzzy logic as optimization techniques for improving oil recovery in a sandstone reservoirs in Iraq

SPE Latin American and Caribbean Petroleum Engineering Conference Proceedings

Volumn 1, Issue , 2012, Pages 22-32

  Al Mudhafer, Wathiq ^a,b   Alabbas, Maytham ^c  

^a Ministry of Oil Republic of Iraq   (Iraq)

^b LOUISIANA STATE UNIVERSITY   (United States)

^c UNIVERSITY OF BASRAH   (Iraq)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURATE PREDICTION; ADAPTIVE GENETIC ALGORITHMS; CROSSOVER RATES; CUMULATIVE OIL PRODUCTION; INFILL WELLS; INTER-DISCIPLINARY STUDIES; MAIN PARAMETERS; MAXIMUM VALUES; MUTATION RATES; NET PRESENT VALUE; OBJECTIVE FUNCTIONS; OIL RECOVERIES; OPTIMAL NUMBER; OPTIMIZATION TECHNIQUES; OPTIMIZATION TOOLS; RESERVOIR PERFORMANCE; RESERVOIR SIMULATION; SANDSTONE RESERVOIRS; WATER DRIVE;

AQUIFERS; ECONOMIC ANALYSIS; FUZZY LOGIC; GENETIC ALGORITHMS; HYBRID SYSTEMS; OIL FIELDS; PETROLEUM ENGINEERING; PETROLEUM RESERVOIRS;

OPTIMIZATION;

EID: 84864590884     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (33)

1. Mohaghegh, S. (2001) "Virtual Intelligence and its Applications in petroleum Engineering' Part 2. Evolutionary Computing" Distinguished Author Series, West Virginia University.
2. Romero, C.E., Carter, J.N., Zimmerman, R.W., and Gringarten, A.C.: (2000), "A Modified Genetic Algorithm for Reservoir Characterization," paper SPE 64765 presented at the 17th International Oil and Gas Conference and Exhibition in China, Beijing, China, November 7-10.
3. Mohaghegh, S., Arefi, R., Ameri, S., and Rose, D., (1994) "A Methodological Approach For Reservoir Heterogeneity Characterization Using Artificial Neural Networks" paper SPE 28394 presented at the SPE Annual Technical Conference & Exhibition held in New Orleans, LA, U.S.A., September 25-28.
4. Romero, C.E., Carter, J.N., Zimmerman, R.W., and Gringarten, A.C.: (2000), "Improved Reservoir Characterization through Evolutionary Computation," paper SPE 62942 presented 2000 SPE Annual Technical Conference and Exhibition held in Dallas, Texas, October 1-4.
5. Mohaghegh, S., Hill, D., and Reeves, S. (2000) " Development of an Intelligent Systems Approach for Restimulation Candidate Selection" paper SPE 59767 presented at the Gas Technology Symposium held in Calgary, AB, Canada, April 3-5.
6. Martinez, E.R. et al. (1994), " Application of Genetic Algorithm on the Distribution of Gas-Lift Injection", paper SPE 26993 presented at the 69th Annual Technical Conference and Exhibition held in New Orleans, LA, U.S.A., September 25-28.
7. Fang, J.H., Karr, C.l. & Stanley, D.A. (1992) "Genetic Algorithm and its Application to Petrophysics", paper SPE 26208 presented at the Annual Technical Conference and Exhibition, Tuscaloosa, Dec. 10.
8. Yin, Hongjun, Zhai, Yunfang, (1998) "An Optimum Method of Early-Time Well Test Analysis - Genetic Algorithm, paper SPE 50905 presented at the International Oil & Gas Conference and Exhibition in China held in Beijing, China, 2-6 November.
9. Guyaguler, B. and Horne, R.N. (2001), "Automated Reservoir Model Selection in Well Test Interpretation" paper SPE 71569 presented at the Annual Technical Conference and Exhibition, held in New Orleans, Louisiana, U.S.A., September -30 to October -3.
10. Mohaghegh, S., Balan, B., Ameri, S., and McVey, D.S., (1996) "A Hybrid, Neuro-Genetic Approach to Hydraulic Fracture Treatment Design and Optimization" paper SPE 36602 presented at the Annual Technical Conference and Exhibition held in Denver, Colorado, October 6-9.
11. Mohaghegh, S., Popa, A. S. and Ameri, S.: (1999) "Intelligent Systems Can Design Optimum Fracturing Jobs", paper SPE 57433 presented at the Eastern Regional Conference and Exhibition, Charleston, West Virginia, October 21-22.
12. Palke, M.R., and Home, R.N. (1997), "Determining the Value of Reservoir Data by Using Nonlinear Production Optimization Techniques" paper SPE 38047 presented at the 1997 SPE Asia Pacific Oil & Gas Conference and Exhibition, held in Kuala Lumpur, Malaysia, April14-16.
13. Sen, M.K. et al. (1992), "Stochastic Reservoir Modeling Using Simulated Annealing and Genetic Algorithm" paper SPE 24754 presented at the 67th Annual Technical Conference and Exhibition of SPE held in Washington, DC, October 4-7.
14. Artus, V., Durlofsky, L.J., Aziz, K. (2004) "Optimization of Nonconventional Well Deployment using a Genetic Algorithm" paper presented at the 12th SUPRI-HW Industrial Affiliates Meeting Nov 18-19.
15. Mohaghegh, S., Platon, V., and Ameri, S., (1988) "Candidate Selection for Stimulation of Gas Storage Wells Using Available Data With Neural Networks and Genetic Algorithms, SPE 51080, SPE Eastern Regional Meeting held in Pittsburgh, PA, November 9-11.
16. Fichter, D. P. (2000). "Application of Genetic Algorithms in Portfolio Optimization for the Oil and Gas Industry", paper SPE 62970 presented at the SPE Annual Technical Conference and Exhibition, Dallas, Texas, October 1-4.
17. Bittencourt, A. C.: "Optimal Scheduling of Development in an Oil Field," MS report, Stanford University, 1994.
18. Guerreiro, J.N.C., et al.(1997)" Identification of Reservoir Heterogeneities Using Tracer Breakthrough Profiles and Genetic Algorithms" paper SPE 39066 presented at the Latin American and Caribbean Petroleum Engineering Conference and Exhibition held in Rio de Janeiro, Brazil, August-30, September-3.
19. Goldberg, D.E. (1989) "Genetic Algorithm in Search, optimization and Machine learning" Addison-Wesley, Reading, MA.
20. Austin, S. (1990) "An Introduction to Genetic algorithm" AI expert. Pp 49-51.
21. Grant, K. (1995) "An Introduction to Genetic algorithm" C/C++ user Journal, pp 45-58.
22. Mitchell, M. (1996) "An Introduction to Genetic algorithm", A Bradford Book.
23. Schmidt, M. and Stiden, T. (1997) "Hybrid systems: Genetic Algorithm, Neural Networks, and Fuzzy logic" DAIMI IR.
24. http://www.lib.utexas.edu/maps/middle-east-and-asia/al-basrah-iraq-80.jpg
25. The Petroleum Geology of the Upper Sandstone Member of the Zubair Formation in the Rumaila South Oilfield. 1993. Baghdad: Ministry of Oil, Department of Reservoirs and Fields Development-Section of Production Studies.
26. R. Hinterding, Z. Michalewicz, and A. E. Eiben, (1997), Adaptation in evolutionary computation: a survey. In IEEECEP: proceeding of the IEEE conference on EC, IEEE world congress on computational intelligence.
27. Bittencourt, A. C., and Home, R. N. (1997),"Reservoir Development and Design Optimization", ", paper SPE 38895 presented at the SPE Annual Technical Conference and Exhibition, San Antonio, TX, October 5-8.
28. Da. Ruan, (1997), "Intelligent Hybrid Systems Fuzzy logic, Neural Networks, and Genetic Algorithms" Kluwer Academic Publishers.
29. Jefferys, E.R. (1993) "Design Application of Genetic Algorithm" ", paper SPE 26367 presented at the 68th Annual Technical Conference and Exhibition of SPE, Houston, Texas, Oct. 3-6.
30. Phillips, D., Ravindran, A. and Solberg, J. (1976) "Operation Research principle and practice" John Wiley & Sons Inc.
31. Al-Mudhafer, Wathiq J., Al-Jawad, Mohammed S. and Al-Shamma, Dunia A. (2010) "Optimal Field Development through Infill Drilling for the Main Pay in South Rumaila Oil Field" SPE 132303, presented in SPE Trinidad and Tobago Energy Resources Conference which was held in Port of Spain, Trinidad, June 27-30.
32. SimBest II manual. 1989. Scientific Software-Intercomp.
33. Güyagüler, B., and Home, R.N. (2000) "Optimization of Well Placement" presented at the ASME Energy Sources Technology Conference in New Orleans, February 14-16.