• DocumentCode
    2709793
  • Title

    The Method Research of Knowledge Discovery in Reservoir Management

  • Author

    Jun, Yao ; Yun, Zhang

  • Author_Institution
    China Univ. of Pet., Dongying, China
  • fYear
    2006
  • fDate
    1-3 Nov. 2006
  • Firstpage
    92
  • Lastpage
    92
  • Abstract
    Knowledge discovery is an important part of reservoir management, and it is also a bottleneck of widespread application of knowledge. So we should make use of some particular data mining methods to discover knowledge, which should be based on some particular fields. According to demand of oil and gas development and characters of reservoir data set, puts forward a new idea of knowledge discovery in reservoir management by the technology, such as data cleaning, data mining, knowledge evaluation, visualization, and illuminates the approach for its implication by the experiment.
  • Keywords
    data mining; data visualisation; hydrocarbon reservoirs; data cleaning; data mining method; data visualization; knowledge discovery; knowledge evaluation; oil and gas development; reservoir data set; reservoir management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantics, Knowledge and Grid, 2006. SKG '06. Second International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    0-7695-2673-X
  • Type

    conf

  • DOI
    10.1109/SKG.2006.103
  • Filename
    5727729