<p>It is one of the important problems to predict the geologic bodies ahead of the tunnel face not only for mining in the coal mines and the mines but also for the geotechnical tunnel construction related to infrastructure construction. Frequency domain induced polarization (IP) method is one of the widely applied geophysical methods in detecting anomalous bodies ahead of the tunnel face. We present a method of joint inversion of apparent resistivity and frequency domain IP data to increase the reliability of tunnel prospecting by frequency domain IP method. We determine the numbers of terms of the infinite series in formulas of forward modeling to use for joint inversion and introduce two methods to estimate the existence of the geologic body ahead of the tunnel face. Joint inversion is based on the logarithmic barrier method. Also, we demonstrate the reliability of the method and the effects of the number of current electrodes and the ratio between the length of the survey line and the distance from the tunnel face to the anomalous body on the accuracy of the method. Tests of synthetic and field data show that the method we propose has high reliability.</p>

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Joint inversion of apparent resistivity and frequency domain induced polarization data due to anomalous body ahead of the tunnel face

  • Un-Gyong Pak,
  • Il-Gyong Ri,
  • Gwang-Chol Jon,
  • Sung-Jin Han,
  • Song-Hyok Ri

摘要

It is one of the important problems to predict the geologic bodies ahead of the tunnel face not only for mining in the coal mines and the mines but also for the geotechnical tunnel construction related to infrastructure construction. Frequency domain induced polarization (IP) method is one of the widely applied geophysical methods in detecting anomalous bodies ahead of the tunnel face. We present a method of joint inversion of apparent resistivity and frequency domain IP data to increase the reliability of tunnel prospecting by frequency domain IP method. We determine the numbers of terms of the infinite series in formulas of forward modeling to use for joint inversion and introduce two methods to estimate the existence of the geologic body ahead of the tunnel face. Joint inversion is based on the logarithmic barrier method. Also, we demonstrate the reliability of the method and the effects of the number of current electrodes and the ratio between the length of the survey line and the distance from the tunnel face to the anomalous body on the accuracy of the method. Tests of synthetic and field data show that the method we propose has high reliability.