• DocumentCode
    1368848
  • Title

    Arithmetic Method of Double-Injection-Electrode Model for Resistivity Measurement Through Metal Casing

  • Author

    Chen, Qing ; Pardo, David ; Li, Hong-bin ; Wang, Fu-rong ; Ye, Qi-zheng

  • Author_Institution
    Coll. of Electr. & Electron. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • Volume
    48
  • Issue
    1
  • fYear
    2010
  • Firstpage
    36
  • Lastpage
    41
  • Abstract
    Through-casing resistivity (TCR) measurement instruments such as Cased Hole Formation Resistivity are extensively used for the dynamic monitoring of oil reservoirs during the production phase in oil wells to evaluate the residual oil distribution. However, two shortcomings still exist in the common TCR model based on single-injection electrodes: The real value of steel-casing resistance is difficult to acquire, and the effect from mechanical tolerances of electrode scale is unpredictable. This paper proposes an innovative model based on double-injection electrodes. In this new model, all the required variables can be measured simultaneously; furthermore, a compensating arithmetic method is employed to obtain the real casing resistance. Self-adaptive goal-oriented hp-finite-element simulations have been performed to prove that the influence of mechanical tolerances of electrode scale can be reduced effectively. Therefore, the TCR measurement accuracy is highly improved.
  • Keywords
    electrical resistivity; finite element analysis; geophysical techniques; hydrocarbon reservoirs; monitoring; Cased Hole Formation Resistivity; arithmetic method; double-injection-electrode model; dynamic monitoring; mechanical tolerance; metal casing; oil reservoir; oil well; residual oil distribution; self-adaptive goal-oriented hp-finite-element simulation; through-casing resistivity measurement instrument; Arithmetic; electromagnetic analysis; geophysical measurements;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2009.2026741
  • Filename
    5238523