• DocumentCode
    534959
  • Title

    Application of facies-controlling stochastic modeling technique in heterogeneity reservoir and its effective application analysis

  • Author

    Meiyin, Deng ; Weiwei, Ren ; Jinliang, Zhang

  • Author_Institution
    Ocean Univ. of China, Qingdao, China
  • Volume
    1
  • fYear
    2010
  • fDate
    13-14 Sept. 2010
  • Firstpage
    17
  • Lastpage
    20
  • Abstract
    Many oilfield have gone into the intermediary or later stage of development, with the raise of the development level, reservoir geologic research urgently need some new practical technique method to describe reservoir properties accurately and carefully. Basing on principles of sedimentology and quantitative analysis of well logging interpretation, carrying out micro-phase study, and using the research results of micro-facies to constrain the spatial distribution of reservoir parameters. Establishing a fine reservoir geological model, and solve the problem of sedimentary facies modeling can not effective combination in the process of modeling. Practices have proved that this method is feasible, especially in the heterogeneity reservoirs. Application of phase control modeling technique not only provide a more accurate reservoir property model, but also can provide a geological basis for the remaining petroleum development and development adjustment.
  • Keywords
    hydrocarbon reservoirs; sediments; stochastic processes; well logging; effective application analysis; facies controlling stochastic modeling technique; heterogeneity reservoir; microfacies; oil fields; phase control modeling technique; reservoir geologic research; reservoir parameter spatial distribution; reservoir properties; sedimentary facies modeling; sedimentology; well logging data interpretation; Geology; Welding; Phase control modeling technique; fine reservoir geological model; heterogeneity reservoir; micro-facies; stochastic simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Natural Computing Proceedings (CINC), 2010 Second International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-7705-0
  • Type

    conf

  • DOI
    10.1109/CINC.2010.5643904
  • Filename
    5643904