• DocumentCode
    1998864
  • Title

    Modeling of Oil and Water Migration Based on Support Vector Machine

  • Author

    Tian, Jingwen ; Feng, Qian

  • Author_Institution
    Dept. of Autom. Control, Beijing Union Univ., Beijing
  • Volume
    1
  • fYear
    2008
  • fDate
    13-17 Dec. 2008
  • Firstpage
    244
  • Lastpage
    248
  • Abstract
    An actual physical simulation model was constructed to simulate the course of oil and water migration. Under certain physical property conditions, we simulated the water injection well and the oil well on the physical simulation model, and continuous measured online the oil and water content of different area of model in three-dimensional space 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 a complicated and nonlinear, the support vector machine (SVM) was used to establish the oil and water migration model. Moreover, we propose a self-adaptive parameter adjust iterative algorithm to confirm SVM parameters. The experimental results show that this method is feasible and effective.
  • Keywords
    chemical engineering computing; iterative methods; petroleum industry; support vector machines; SVM; iterative algorithm; oil migration; oil well; self-adaptive parameter; support vector machine; three-dimensional space; water injection well; water migration; Area measurement; Circuit simulation; Computational modeling; Costs; Economic forecasting; Petroleum; Production; Risk management; Support vector machines; Water; modeling; oil water migration; support vector machine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security, 2008. CIS '08. International Conference on
  • Conference_Location
    Suzhou
  • Print_ISBN
    978-0-7695-3508-1
  • Type

    conf

  • DOI
    10.1109/CIS.2008.95
  • Filename
    4724650