• DocumentCode
    3210689
  • Title

    The application of hierarchical clustering analysis technique in reservoir for flow unit study

  • Author

    Zhang, Jinliang ; Ming, Li

  • Author_Institution
    Coll. of Marine Geo-Sci., Ocean Univ. of China, Qingdao, China
  • Volume
    2
  • fYear
    2010
  • fDate
    13-14 Sept. 2010
  • Firstpage
    43
  • Lastpage
    46
  • Abstract
    This paper introduces clustering analysis technique in reservoir flow unit research. The parameters such as flow zone indicator, porosity, permeability, clay content, poro-throat radius (R35), etc, which can characterize reservoir characteristic are selected as evaluation parameters. Reservoir flow units in Wei2 block, Jiangsu oilfield, are classified as four types according to evaluation criterion established by clustering analysis theory. Then this paper discuss the main features of each flow unit combination with sedimentological and performance data in this paper. At last, authors point out II and III type flow units are main zones of remaining oil distribution at present by analyzing relation of flow unit and remaining Oil, which are the main targets to adjust potentially further.
  • Keywords
    flow; geophysics computing; hydrocarbon reservoirs; pattern clustering; sedimentation; clustering analysis technique; oil distribution; reservoir flow unit; sedimentological; Classification algorithms; Clustering algorithms; Heuristic algorithms; Oceans; Permeability; Petroleum; Reservoirs;
  • 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.2010.5643793
  • Filename
    5643793