• DocumentCode
    2757773
  • Title

    Quantitative Evaluation of Oil and Gas Resources: A Geological Analogy Model Based on Delphi Method

  • Author

    Liu, Gang ; Wang, Yanni ; Wang, Xianyong ; Pan, Yuandun

  • Author_Institution
    Fac. of Earth Resources, China Univ. of Geosci., Wuhan, China
  • Volume
    2
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    603
  • Lastpage
    607
  • Abstract
    One trend of oil and gas prediction and evaluation is computer-aided quantitative approach. Aiming at complicated factors and numerous parameters of oil and gas resources estimation, the method with combination of geological analogy model and probabilistic model and corresponding flowcharts were introduced. The quantitative estimation process was performed by using Delphi method and Monte Carlo calculation method to give a curve of inverse cumulative probability to support decision-making. Geological analogy method based on probabilistic model has better adaptability than the traditional analogy method. The final comprehensive probability curve of quantitative estimation of oil and gas resources can be obtained, which has a good practical significance.
  • Keywords
    Monte Carlo methods; decision making; decision support systems; environmental science computing; geology; hydrocarbon reservoirs; oils; probability; Delphi method; Monte Carlo calculation method; computer-aided quantitative approach; decision-making; flowcharts; gas resources estimation; geological analogy model; inverse cumulative probability curve; oil resources estimation; probabilistic model; quantitative estimation process; quantitative evaluation; Computer science education; Decision making; Earth; Feedback; Fuzzy systems; Geology; Laboratories; Monte Carlo methods; Petroleum; Probability; Delphi method; Monte Carlo calculation method; geological analogy model; oil and gas resources; quantitative evaluation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3735-1
  • Type

    conf

  • DOI
    10.1109/FSKD.2009.725
  • Filename
    5359524