• DocumentCode
    1972544
  • Title

    The research and application on neural network in the production of complex oil wells

  • Author

    Tao, Fang ; Li, Xunming

  • Author_Institution
    Dept. of Energy & Electr. Eng., Hohai Univ., Nanjing, China
  • fYear
    2011
  • fDate
    16-18 Sept. 2011
  • Firstpage
    2755
  • Lastpage
    2757
  • Abstract
    Indicator Diagram Measurement has been widely used in modern oil well production, It not only enhances real-time measurement of oil wells, reduces the waste of human resource in the oil Metering Station and large amount of oil tank in the past, but also greatly reduces the error caused by manual manipulation. As the diversity and irregularity of well diagram in the complexity of the oil zone, there are some errors in the measurement based on traditional diagram. Neural Network can reflect the mapping of any nonlinear, it can distinguish the various types of diagram. Then we can select the appropriate algorithm to calculate the opening and doing point of the well valve, so as to achieve accurate measurement requirements of the various types of complex diagram.
  • Keywords
    metering; neural nets; oil technology; complex oil well production; diagram measurement; human resource; mapping; neural network; oil metering station; Educational institutions; Electrical engineering; Energy measurement; Measurement uncertainty; Valves; Indicator Diagram Measurement; Neural Network; The Oping and Closing point of the Well Valve);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Control Engineering (ICECE), 2011 International Conference on
  • Conference_Location
    Yichang
  • Print_ISBN
    978-1-4244-8162-0
  • Type

    conf

  • DOI
    10.1109/ICECENG.2011.6057009
  • Filename
    6057009