• DocumentCode
    1649132
  • Title

    The Methods of Stream Dryness Measurement in Oil Field

  • Author

    Jianhua, Yang ; Wenqi, Liu ; Wei, Lu

  • Author_Institution
    Dalian Univ. of Technol., Dalian
  • fYear
    2007
  • Firstpage
    381
  • Lastpage
    383
  • Abstract
    During the process of heavy oil production, stream dryness is a key point of secure and effective production. It has an effect not only on security of the stream-injection boiler but also on the quality of the heavy oil. In order to resolve the low accuracy problem of dryness measurement, a new steam quality on-line measurement technique is presented in this paper. The soft measurement model is established based on neural network. By establishing the dryness system, the dryness can be on-line measured and high precision can be achieved. This system is promising in stream dryness measurement.
  • Keywords
    neural nets; oil technology; heavy oil production; neural network; oil field; soft measurement; stream dryness measurement; stream-injection boiler security; Boilers; Information security; MATLAB; Mathematical model; Measurement techniques; Neural networks; Petroleum; Predictive models; Production; Testing; Dryness measurement; MATLAB; Neural Network; Stream-injection Boiler;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference, 2007. CCC 2007. Chinese
  • Conference_Location
    Hunan
  • Print_ISBN
    978-7-81124-055-9
  • Electronic_ISBN
    978-7-900719-22-5
  • Type

    conf

  • DOI
    10.1109/CHICC.2006.4347248
  • Filename
    4347248