• DocumentCode
    2422688
  • Title

    The Study and Application of Gray-Orthogonal Wavelet Network Forecasting Mode on Cementing Quality

  • Author

    Zhao Wan Chun ; Wan Ting Ting ; Aichi ; Jindan, Yin

  • Author_Institution
    Oil & Gas Recovery to Improve Key Lab. of Educ. Minist. for Enhance Oil Recovery, Daqing Pet. Inst., Daqing, China
  • fYear
    2010
  • fDate
    7-9 May 2010
  • Firstpage
    5327
  • Lastpage
    5330
  • Abstract
    The interrelated characteristics and the complexity of cementation quality affecting factors are cosidered, a new method of forecasting cementing quality based on Gray-Orthogonal wavelet network is set up. The method regards some factors affecting the cementing quality as the input parameters of the model, and regards quantifying cementation quality as the output parameter of the model. Evaluating and forecasting the cementing quality of Bei1 block of 20 wells in Daqing Oilfield. The maximum fractional error between forecasting results and actual results is 2.66%. The associated problem of impacting factors is solved by the new forecasting method,and the prediction accuracy of cementing quality is improved. A reliable theoretical basis of cementing operation parameters design and construction program adjustment for new wells in oil field is provided.
  • Keywords
    cements (building materials); oil technology; wavelet transforms; cementing operation parameter design; cementing quality forecasting; fractional error; gray-orthogonal wavelet network forecasting; impacting factor; oil field; oil well; Artificial neural networks; Forecasting; Laboratories; Petroleum; Predictive models; Reliability theory; Training; cement job quality; gray system; orthogonal wavelet neural network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Business and E-Government (ICEE), 2010 International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-0-7695-3997-3
  • Type

    conf

  • DOI
    10.1109/ICEE.2010.1333
  • Filename
    5591978