• DocumentCode
    2914353
  • Title

    Research on modeling method of water displacing oil physical simulation based on support vector machine

  • Author

    Gao, Meijuan ; Tian, Jingwen ; Zhou, Hao

  • Author_Institution
    Beijing Union Univ., Beijing
  • fYear
    2007
  • fDate
    18-20 Nov. 2007
  • Firstpage
    1128
  • Lastpage
    1133
  • Abstract
    An actual physical simulation model was constructed to simulate the course of water displacing oil Under certain physical property parameter conditions, we simulated the water injection well and the oil withdrawal well on the physical simulation model, and continuous measured online the oil and water content of different areas of physical simulation model in three-dimensional spaces using the 512 routes resistivity measuring circuit, then we can obtain large numbers of simulation samples. Considering the issues that the relationship between the remaining oil and every parameters of water displacing oil is complicated and nonlinear, the support vector machine (SVM) was used to establish the water displacing remaining oil model, in order to obtain the distributing situation of remaining oil in various complicated conditions. We proposed a self-adaptive parameter adjust iterative algorithm to confirm SVM parameters. The experimental results show that this method is feasible and effective.
  • Keywords
    digital simulation; iterative methods; oil technology; petroleum industry; solid modelling; support vector machines; oil industry; oil withdrawal well; self-adaptive parameter adjust iterative algorithm; support vector machine; three-dimensional space; water displacing oil physical simulation modeling; water injection well; Area measurement; Artificial neural networks; Circuit simulation; Hydrocarbon reservoirs; Intelligent systems; Petroleum; Production; Solid modeling; Support vector machines; Water resources;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services, 2007. GSIS 2007. IEEE International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-1294-5
  • Electronic_ISBN
    978-1-4244-1294-5
  • Type

    conf

  • DOI
    10.1109/GSIS.2007.4443448
  • Filename
    4443448