• DocumentCode
    354077
  • Title

    Using nonlinear regression method in oil production prediction

  • Author

    Zhengshun, Sun ; Fan, Dong

  • Author_Institution
    Dept. of Autom., Tsinghua Univ., Beijing, China
  • Volume
    3
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    2092
  • Abstract
    Weng´s cycle model is a typical oil production prediction model. Traditionally a linear regression method is used to simulate the model. It brings some limitation on the regression accuracy so in this paper we use nonlinear regression instead of linear regression. The new method is used in an oil production field and good results are obtained
  • Keywords
    forecasting theory; natural resources; statistical analysis; Weng´s cycle model; nonlinear regression method; oil production prediction; regression accuracy; Cities and towns; Linear regression; Petroleum; Predictive models; Production; Sun;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
  • Conference_Location
    Hefei
  • Print_ISBN
    0-7803-5995-X
  • Type

    conf

  • DOI
    10.1109/WCICA.2000.862968
  • Filename
    862968
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=354077