• DocumentCode
    2238330
  • Title

    The Research of Oilfield Flood Precaution Decision Support System

  • Author

    Xie, Lun ; Wang, Zhiliang ; Bian, Lili

  • Author_Institution
    Coll. of Inf. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
  • Volume
    2
  • fYear
    2008
  • fDate
    19-19 Dec. 2008
  • Firstpage
    236
  • Lastpage
    239
  • Abstract
    Flood is one of the greatest disasters against oilfield manufacture. This paper first describes the key problem of oilfield flood control system, established a large oilfield flood control intelligent decision support system. Then the application research of reservoir grouppsilas flood prevention optimizing schedule algorithm was done based on multi-agent theory. According to the neural network mathematical model of oilfield reservoir, a novel algorithm of rainfall forecast was completed. Finally, on the basis of computer network technology and GSM wireless technologies, the application system was realized in order to expand the scope of flood dispatching decision-making method.
  • Keywords
    cellular radio; control engineering computing; decision making; decision support systems; floods; geophysical techniques; geophysics computing; hydrocarbon reservoirs; multi-agent systems; neural nets; oil technology; rain; GSM wireless technology; computer network; decision-making; disaster; flood dispatching; flood prevention; mathematical model; multiagent theory; neural network; oilfield flood control intelligent decision support system; oilfield flood precaution decision support system; oilfield manufacture; oilfield reservoir; rainfall forecast; Application software; Control systems; Decision support systems; Floods; Intelligent control; Intelligent manufacturing systems; Job shop scheduling; Processor scheduling; Reservoirs; Scheduling algorithm; decision support system; multi-Agent; neural network mathematical model; oilfield flood control; reservoir group´s flood prevention optimizing scheme;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business and Information Management, 2008. ISBIM '08. International Seminar on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3560-9
  • Type

    conf

  • DOI
    10.1109/ISBIM.2008.125
  • Filename
    5116464