• Title of article

    Determination of correction factors for borehole natural gamma-ray measurements by Monte Carlo simulations

  • Author/Authors

    Mau?ec، نويسنده , , M. and Hendriks، نويسنده , , P.H.G.M. and Limburg، نويسنده , , J. and de Meijer، نويسنده , , R.J.، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2009
  • Pages
    11
  • From page
    194
  • To page
    204
  • Abstract
    The analysis of natural γ-ray spectra measured in boreholes has to take into account borehole parameters such as the presence of casings and borehole diameter. For large, high-efficiency γ-ray detectors, such as BGO-based systems, which employ full-spectrum data analysis, corresponding corrections were not previously determined. In a joint project of the Nuclear Geophysics Division of the Kernfysisch Versneller Instituut (NGD/KVI), Groningen, Medusa Explorations B.V. and the Dutch Institute for Applied Geosciences (TNO-NITG) a catalogue of corrections was constructed. Using the Monte Carlo code MCNP, the influence of steel casings, borehole diameter, central axis probe position and the diameter of the γ-ray detector on the γ-ray spectra has been investigated for nearly 20 geometries. The calculated γ-ray spectra are compared qualitatively and quantitatively. In a case study, γ-ray spectra from a borehole measured in a cased and uncased configuration are analyzed with simulated spectra. When no corrections are used, the activity concentrations deviated by as much as 50% between the two measurements. Taking into account the specific measurement geometry, the activity concentrations were found to be identical within the statistical and systematic uncertainties of the experiment for the same borehole, with and without casing. These results illustrate the need for borehole-specific corrections and this study demonstrates that Monte Carlo methods are a fast and reliable way to calibrate well-logging tools for a wide variety of configurations.
  • Keywords
    Natural gamma-ray spectrometry , Well logging , Monte Carlo simulation
  • Journal title
    Nuclear Instruments and Methods in Physics Research Section A
  • Serial Year
    2009
  • Journal title
    Nuclear Instruments and Methods in Physics Research Section A
  • Record number

    2211459