• DocumentCode
    2327347
  • Title

    Research and Implementation of Fault Diagnosis System on Oil Field Based on Intelligence Integrating

  • Author

    Zhao Feng-Zhi ; Bao Feng ; Lu Xiao-Chang

  • Author_Institution
    Dept. of Comput. Sci., Daqing Pet. Inst., Qinhuangdao
  • fYear
    2009
  • fDate
    23-24 May 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, the authors put forward the integrating intelligence diagnosis model and the key technologies on this model in order to solve the work status diagnosis problem of oil well .The merits of this system included: knowledge acquisition automatically, high speed of identifying, high degree of intelligent zing, etc., and this system can identify 21 kinds of faults, this diagnosis technology was more exact comparing to other diagnosis methods.
  • Keywords
    fault diagnosis; knowledge acquisition; petroleum industry; fault diagnosis system; intelligence integrating; knowledge acquisition; oil field; oil well; Competitive intelligence; Computer interfaces; Control systems; Databases; Fault diagnosis; Graphics; Intelligent systems; Machine intelligence; Mathematics; Petroleum;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Business and Information System Security, 2009. EBISS '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-2909-7
  • Electronic_ISBN
    978-1-4244-2910-3
  • Type

    conf

  • DOI
    10.1109/EBISS.2009.5138032
  • Filename
    5138032