메뉴 건너뛰기




Volumn 47, Issue 1-2, 2005, Pages 15-22

Genetic algorithms in oil industry: An overview

Author keywords

Evolutionary algorithms; Exploration; Genetic algorithms; Production; Reservoir characterization; Seismic inversion

Indexed keywords

EVOLUTIONARY COMPUTATIONS; FRAMEWORK; OIL INDUSTRY;

EID: 17744397791     PISSN: 09204105     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.petrol.2004.11.006     Document Type: Article
Times cited : (63)

References (33)
  • 1
    • 17744398493 scopus 로고    scopus 로고
    • Hybrid method for porosity classification in carbonate formations
    • in this volume
    • I. Batyrshin L. Sheremetov M. Markov A. Panova Hybrid method for porosity classification in carbonate formations J. Pet. Sci. Eng. 47 2005 35-50 in this volume
    • (2005) J. Pet. Sci. Eng. , vol.47 , pp. 35-50
    • Batyrshin, I.1    Sheremetov, L.2    Markov, M.3    Panova, A.4
  • 2
    • 12144266063 scopus 로고
    • Calculating optimal parameters for history matching
    • Proc. Fourth European Conference on the Mathematics of Oil Recovery, Roros, Norway
    • R. Bissell Calculating optimal parameters for history matching Proc. Fourth European Conference on the Mathematics of Oil Recovery, Roros, Norway 1994
    • (1994)
    • Bissell, R.1
  • 3
    • 17744370857 scopus 로고
    • Application of Genetic Algorithms to the Inversion of Geophysical Data
    • PhD thesis in Mathematical Geophysics. University of Western Australia, Perth
    • Boschetti, F., 1995. Application of Genetic Algorithms to the Inversion of Geophysical Data. PhD thesis in Mathematical Geophysics. University of Western Australia, Perth.
    • (1995)
    • Boschetti, F.1
  • 4
    • 0030308766 scopus 로고    scopus 로고
    • Application of a modified genetic algorithm to parameter estimation in the petroleum industry
    • C. Dagli E. Akay C.L. Philip-Chen B. Fernandez J. Ghosh (Eds.) ASME Press New York
    • M.D. Bush J.N. Carter Application of a modified genetic algorithm to parameter estimation in the petroleum industry In: C. Dagli E. Akay C.L. Philip-Chen B. Fernandez J. Ghosh (Eds.) Intelligent Engineering Systems through Artificial Neural Networks vol. 6 1996 ASME Press New York
    • (1996) Intelligent Engineering Systems Through Artificial Neural Networks , vol.6
    • Bush, M.D.1    Carter, J.N.2
  • 5
    • 17744375895 scopus 로고    scopus 로고
    • Optimal choice of inversion parameters for history-matching with the pilot point method
    • Proc. Sixth European Conference on the Mathematics of Oil Recovery, Peebles, Scotland
    • M. Cuypers O. Dubrule P. Lamy R. Bissell Optimal choice of inversion parameters for history-matching with the pilot point method Proc. Sixth European Conference on the Mathematics of Oil Recovery, Peebles, Scotland 1998
    • (1998)
    • Cuypers, M.1    Dubrule, O.2    Lamy, P.3    Bissell, R.4
  • 6
    • 0034875558 scopus 로고    scopus 로고
    • The energy minimization method: A multiobjective fitness evaluation technique and its application to the production scheduling in a petroleum refinery
    • M.R. De Almeida S. Hamacher M.A.C. Pacheco M.B.R. Vellasco The energy minimization method: A multiobjective fitness evaluation technique and its application to the production scheduling in a petroleum refinery Proc. of the 2001 Congress on Evolutionary Computation vol. 1 2001 560-567
    • (2001) Proc. of the 2001 Congress on Evolutionary Computation , vol.1 , pp. 560-567
    • De Almeida, M.R.1    Hamacher, S.2    Pacheco, M.A.C.3    Vellasco, M.B.R.4
  • 8
    • 0028666758 scopus 로고
    • Genetic algorithms: A powerful tool for large-scale nonlinear optimization problems
    • K. Gallagher M. Sambridge Genetic algorithms: A powerful tool for large-scale nonlinear optimization problems Comput. Geosci. 20 7-8 1994 1229-1236
    • (1994) Comput. Geosci. , vol.20 , Issue.7-8 , pp. 1229-1236
    • Gallagher, K.1    Sambridge, M.2
  • 12
    • 19244387134 scopus 로고    scopus 로고
    • Applications of genetic algorithms in exploration and production
    • M. McCormack R. Stoisits D. MacAllister K. Crawford Applications of genetic algorithms in exploration and production Lead. Edge 18 6 1999 716-719
    • (1999) Lead. Edge , vol.18 , Issue.6 , pp. 716-719
    • McCormack, M.1    Stoisits, R.2    MacAllister, D.3    Crawford, K.4
  • 14
    • 77956743601 scopus 로고    scopus 로고
    • Enhancing gas storage wells deliverability using intelligent systems
    • M. Nikravesh F. Aminzadeh L. Zadeh (Eds.) Elsevier Science the Netherlands
    • S.D. Mohaghegh Enhancing gas storage wells deliverability using intelligent systems In: M. Nikravesh F. Aminzadeh L. Zadeh (Eds.) Soft Computing and Intelligent Data Analysis in Oil Exploration 2003 Elsevier Science the Netherlands 445-467
    • (2003) Soft Computing and Intelligent Data Analysis in Oil Exploration , pp. 445-467
    • Mohaghegh, S.D.1
  • 15
    • 0035518005 scopus 로고    scopus 로고
    • Past, present and future intelligent reservoir characterization trends
    • M. Nikravesh F. Aminzadeh Past, present and future intelligent reservoir characterization trends J. Pet. Sci. Eng. 31 2-4 2001 67-79
    • (2001) J. Pet. Sci. Eng. , vol.31 , Issue.2-4 , pp. 67-79
    • Nikravesh, M.1    Aminzadeh, F.2
  • 18
    • 0035481901 scopus 로고    scopus 로고
    • An integrated model for multiobjective design optimization of hydraulic fracturing
    • M.M. Rahman M.K. Rahman S.S. Rahman An integrated model for multiobjective design optimization of hydraulic fracturing J. Pet. Sci. Eng. 31 1 2001 41-62
    • (2001) J. Pet. Sci. Eng. , vol.31 , Issue.1 , pp. 41-62
    • Rahman, M.M.1    Rahman, M.K.2    Rahman, S.S.3
  • 19
    • 85086057425 scopus 로고    scopus 로고
    • A modified genetic algorithm for reservoir characterization
    • Proc. of the 2000 SPE Seventh International Oil and Gas Conference and Exhibition, Beijing, China
    • C.E. Romero J.N. Carter R.W. Zimmerman A.C. Gringarten A modified genetic algorithm for reservoir characterization Proc. of the 2000 SPE Seventh International Oil and Gas Conference and Exhibition, Beijing, China 2000
    • (2000)
    • Romero, C.E.1    Carter, J.N.2    Zimmerman, R.W.3    Gringarten, A.C.4
  • 20
    • 0005081716 scopus 로고    scopus 로고
    • Re-engineering simulation: Managing complexity and complexification in reservoir projects
    • Proc of SPE Annual Technical Conference and Exhibition, Denver, Colorado
    • N.G. Saleri Re-engineering simulation: Managing complexity and complexification in reservoir projects Proc of SPE Annual Technical Conference and Exhibition, Denver, Colorado 1998
    • (1998)
    • Saleri, N.G.1
  • 21
    • 80052524806 scopus 로고    scopus 로고
    • Oil reservoir production forecasting with uncertainty estimation using genetic algorithms
    • H.H. Soleng Oil reservoir production forecasting with uncertainty estimation using genetic algorithms Proc. of the Congress on Evolutionary Computation vol. 2 1999 1217-1223
    • (1999) Proc. of the Congress on Evolutionary Computation , vol.2 , pp. 1217-1223
    • Soleng, H.H.1
  • 22
    • 0007600945 scopus 로고    scopus 로고
    • Improved reservoir characterization using automatic matching procedures
    • T.B. Tan N. Kalogerakis Improved reservoir characterization using automatic matching procedures J. Can. Pet. Technol. 32 6 1996 26-33
    • (1996) J. Can. Pet. Technol. , vol.32 , Issue.6 , pp. 26-33
    • Tan, T.B.1    Kalogerakis, N.2
  • 23
    • 17744395230 scopus 로고    scopus 로고
    • Un Modelo Genético-Objetual para la Simulación de Yacimientos de Gas
    • Msc. thesis. Facultad de Minas, Universidad Nacional de Colombia, Medellin
    • Torres, J.L., 2001. Un Modelo Genético-Objetual para la Simulación de Yacimientos de Gas. Msc. thesis. Facultad de Minas, Universidad Nacional de Colombia, Medellin
    • (2001)
    • Torres, J.L.1
  • 25
    • 17744372612 scopus 로고    scopus 로고
    • Agents systems: A perspective from evolutionary computation
    • Proc of 4th International Conference on Recent Advances in Soft Computing, Nottingham, United Kingdom
    • O. Velez-Langs Agents systems: A perspective from evolutionary computation Proc of 4th International Conference on Recent Advances in Soft Computing, Nottingham, United Kingdom 2002
    • (2002)
    • Velez-Langs, O.1
  • 26
    • 0043201464 scopus 로고    scopus 로고
    • Inverse modelling in geology by interactive evolutionary computation
    • C. Wijns F. Boschetti L. Moresi Inverse modelling in geology by interactive evolutionary computation J. Struct. Geol. 25 10 2003 162-1615
    • (2003) J. Struct. Geol. , vol.25 , Issue.10 , pp. 162-1615
    • Wijns, C.1    Boschetti, F.2    Moresi, L.3
  • 28
    • 0032664922 scopus 로고    scopus 로고
    • Conditioning geostatistical models to two-phase production data
    • Z. Wu A.C. Reynolds D.S. Oliver Conditioning geostatistical models to two-phase production data SPE J. 4 2 1999 142-155
    • (1999) SPE J. , vol.4 , Issue.2 , pp. 142-155
    • Wu, Z.1    Reynolds, A.C.2    Oliver, D.S.3
  • 29
    • 17744376889 scopus 로고    scopus 로고
    • Thin-bed Reservoir Characterization using Integrated 3-D Seismic and Well Log Data: A Case Study of the Central Boonsville Field, Fort Worth Basin, North-Central Texas
    • PhD thesis. Michigan Technological University, Houghton
    • Xie, D., 2001. Thin-bed Reservoir Characterization using Integrated 3-D Seismic and Well Log Data: A Case Study of the Central Boonsville Field, Fort Worth Basin, North-Central Texas, PhD thesis. Michigan Technological University, Houghton.
    • (2001)
    • Xie, D.1
  • 30
    • 0037292026 scopus 로고    scopus 로고
    • Integrated optimization and control of the production-injection operation systems for hydrocarbon reservoirs
    • D. Yang Q. Zhang Y. Gu Integrated optimization and control of the production-injection operation systems for hydrocarbon reservoirs J. Pet. Sci. Eng. 37 1-2 2003 69-81
    • (2003) J. Pet. Sci. Eng. , vol.37 , Issue.1-2 , pp. 69-81
    • Yang, D.1    Zhang, Q.2    Gu, Y.3
  • 32
    • 17744363377 scopus 로고    scopus 로고
    • Modeling sparse engine test data using genetic programming
    • Proc. of The Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, California
    • T. Yu J. Rutherford Modeling sparse engine test data using genetic programming Proc. of The Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, California 2001
    • (2001)
    • Yu, T.1    Rutherford, J.2
  • 33
    • 17744391201 scopus 로고    scopus 로고
    • A hybrid GP-fuzzy approach for reservoir characterization
    • R.L. Riolo B. Worzel (Eds.) Kluwer
    • T. Yu D. Wilkinson D. Xie A hybrid GP-fuzzy approach for reservoir characterization In: R.L. Riolo B. Worzel (Eds.) Genetic Programming Theory and Practice 2003 Kluwer 271-290
    • (2003) Genetic Programming Theory and Practice , pp. 271-290
    • Yu, T.1    Wilkinson, D.2    Xie, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.