• DocumentCode
    1523869
  • Title

    Three-Dimensional Finite-Volume Analysis of Directional Resistivity Logging Sensors

  • Author

    Novo, Marcela S. ; Silva, Luiz C da ; Teixeira, Fernando L.

  • Author_Institution
    Nat. Inst. of Metrol., Stand. & Ind. Quality (INMETRO), Duque de Caxias, Brazil
  • Volume
    48
  • Issue
    3
  • fYear
    2010
  • fDate
    3/1/2010 12:00:00 AM
  • Firstpage
    1151
  • Lastpage
    1158
  • Abstract
    A finite-volume (FV) technique is introduced to model directional resistivity logging sensors that employ tilted-coil antennas in 3-D anisotropic earth formations. The algorithm is based on a coupled scalar-vector potential formulation on a 3-D cylindrical staggered grid. The choice of discretization enforces the correct continuity equations across material boundaries, avoids spurious modes, and leads to a better conditioned system matrix. In order to model situations where the sensor tool axis does not coincide with the borehole axis (eccentered tools), a locally conformal FV scheme is also implemented. The proposed FV formulation is validated against pseudoanalytical solutions (in cases where the latter is applicable), showing very good agreement, and utilized to investigate the effects of the drill collar (borehole), anisotropy, and azimuthal rotations on the response of directional resistivity sensors.
  • Keywords
    drilling (geotechnical); finite volume methods; petrology; sensors; well logging; 3D anisotropic earth formations; 3D cylindrical staggered grid; 3D finite-volume analysis; anisotropy; azimuthal rotations; borehole axis; coupled scalar-vector potential formulation; directional resistivity logging sensors; drill collar; logging while drilling; oilfield exploration; pseudoanalytical solutions; sensor tool axis; tilted-coil antennas; Finite-volume (FV) methods; logging while drilling (LWD); oilfield exploration; tilted-coil antennas;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2009.2032539
  • Filename
    5299152