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Volumn 3, Issue , 2011, Pages 1851-1863

Optimization of unconventional gas developments by Bayesian logic and genetic algorithm

Author keywords

Bayesian logic; Genetic algorithm; Optimization; Uncertainty; Unconventional gas development projects

Indexed keywords

COMPUTER CIRCUITS; DECISION TREES; GASES; GENETIC ALGORITHMS; INTELLIGENT SYSTEMS; ITERATIVE METHODS; LINEAR SYSTEMS; MONTE CARLO METHODS; OPTIMIZATION; PETROLEUM PROSPECTING;

EID: 84856630893     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.2118/146581-ms     Document Type: Conference Paper
Times cited : (4)

References (25)
  • 5
    • 84856648099 scopus 로고
    • Computer-Aided Gas Pipeline Operation Using Genetic Algorithms and Rule Learning: Part 1
    • Paper SPE 014590
    • Goldberg, D.E. 1985. Computer-Aided Gas Pipeline Operation Using Genetic Algorithms and Rule Learning: Part 1. Genetic Algorithm in Pipeline Optimization. Paper SPE 014590.
    • (1985) Genetic Algorithm in Pipeline Optimization
    • Goldberg, D.E.1
  • 18
    • 77954853682 scopus 로고    scopus 로고
    • Production-System Optimisation of Gas Fields Using Hybrid Fuzzy/Genetic Approach
    • June 2010
    • Park, H.J., Lim, J.S., Roh, J., Kang, J.M., and Min, B.H. 2010. Production-System Optimisation of Gas Fields Using Hybrid Fuzzy/Genetic Approach. SPE Journal June 2010, 417-425.
    • (2010) SPE Journal , pp. 417-425
    • Park, H.J.1    Lim, J.S.2    Roh, J.3    Kang, J.M.4    Min, B.H.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.