Production optimization at the Kuparuk River Field utilizing neural networks and genetic algorithms

Society of Petroleum Engineers - SPE Mid-Continent Operations Symposium 1999, MCOS 1999

Volumn , Issue , 1999, Pages

  Stoisits, R F ^a   Crawford, K D ^a   MacAllister, D J ^a   McCormack, M D ^a   Lawal, A S ^b   Ogbe, D O ^b  

^a BP EXPLORATION   (United Kingdom)

^b South Dakota School of Mines   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GASES; GENETIC ALGORITHMS; ITERATIVE METHODS; OFFSHORE OIL WELL PRODUCTION;

CENTRAL PROCESSING FACILITIES; NATURAL SELECTION PROCESS; NEURAL NETWORKS AND GENETIC ALGORITHMS; OPTIMIZATION ALGORITHMS; OPTIMIZATION MODELING; OPTIMIZATION PROGRAMS; PRODUCTION OPTIMIZATION; WATER ALTERNATING GAS;

OIL WELLS;

EID: 84889716080     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.2118/52177-ms     Document Type: Conference Paper

References (22)

1. Mach J., Proano E., Brown K.E., A Nodal Approach for Applying Systems Analysis to the Flowing and Artificial Lift Oil or Gas Wells, paper SPE #8025.
2. Mach J., Proano E., Brown K.E., Application of Production Systems Analysis to Determine Completion Sensitivity on Gas Well Production, paper ASME 81-Pet-13, presented at the Energy Sources Technology Conf. and Exhibtion of the ASME, Houston, Tex (jan. 18-22, 1981).
3. Blann J.R., Jacobson L., Production Optimization in the Provincia Field of Columbia, paper SPE #16874.
4. Woodyard A.H., Gas Lift Allocation from Workstation Database, paper SPE #19138.
5. Nishikiori N., Redner R.A., Doty D.R., Schmidt Z., An Improved Method for Gas Lift Allocation Optimization, paper SPE #19711.
6. Edwards R., Marshall D.L., Wade K.C., A Gas Lift Optimization and Allocation Model for Manifolded Subsea Wells, paper SPE #20979.
7. Ferrer A.A., Corpoven S.A., Maggiolo R., Use of a Computerized Model in the Optimization of Continuous Gas Lift Operations, paper SPE #21641.
8. Laing C.M., Gas Lift Design and Production Optimization Offshore Trinidad, paper SPE #15428.
9. Kleyweg D., Tiemann W.D., Dalziel S.G., Gaslift Optimisation - Claymore Field, paper SPE #11885.
10. McAllen J.L., Completion of the Claymore Gas Lift Optimisation Project, paper SPE #12975.
11. Lemetayer P., Miret P.M., Tool of the 90's to Optimize Gas Lift Efficiency in the Gonelle Field, Gabon, paper SPE #23089.
12. Redden J.D., Sherman T.A., Blann J.R., Optimizing Gas Lift Systems, paper SPE #5150.
13. Stoisits R.F., Scherer P.W., Schmidt S.E., Gas Optimization at the Kuparuk River Field, paper SPE 28467.
14. Rumelhart D.E., McClelland J.L., Parellel Distributed Processing, MIT Press 1986.
15. Goldberg D.E., Genetic Algorithms, Addison Wesley 1989.
16. Welstead S.T., Neural Network and Fuzzy Logic Applications in C/C++ Wiley 1994.
17. Fujii H., Horne R.N., Multivariate Optimization of Networked Production Systems. SPE #27617
18. Masterson, W. D. and Paris, C. E.: Depositional History and Reservoir Description of the Kuparuk River Formation, North Slope, Alaska: reference in I. Tailleur and P. Weimer, eds., Alaskan North Slope Geology: Society of Economic Paleontologists and Mineralogists, Pacific Section, and Alaska Geological Society, v. 50, no. 2 (1988).
19. Carman, G. J. and Hardwick, P., Geology and Regional Setting of the Kuparuk Oil Field, American Association of Petroleum Geologists Bulletin. v. 67, no. 6, pp. 1014-31 (1983).
20. ARCO Internal communication with R. Montgomery
21. IEEE seminar on neural nets.
22. Whitley D., The Genitor Algorithm and Selection Pressure: Why Rank-Based Allocation of Reproductive Trials is Best, ICGA 1989.