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ORIGINAL RESEARCH

Vertical Spatial Sensitivity and Exploration Depth of Low-Induction-Number Electromagnetic-Induction Instruments

James B. Callegarya,*, Ty P. A. Ferréb and R. W. Groomc

a U.S. Geological Survey, 520 N. Park Ave., Tucson, AZ 85719
b Hydrology and Water Resources, Univ. of Arizona, Tucson, AZ 85721
c PetRos EiKon, Inc., 222 Snidercroft Rd., Concord, ON L4K 2K1, Canada

Correspondence: * Corresponding author (jcallega{at}usgs.gov)

Received for publication 25 August 2006. Vertical spatial sensitivity and effective depth of exploration (de) of low-induction-number (LIN) instruments over a layered soil were evaluated using a complete numerical solution to Maxwell's equations. Previous studies using approximate mathematical solutions predicted a vertical spatial sensitivity for instruments operating under LIN conditions that, for a given transmitter–receiver coil separation (s), coil orientation, and transmitter frequency, should depend solely on depth below the land surface. When not operating under LIN conditions, vertical spatial sensitivity and de also depend on apparent soil electrical conductivity ({sigma}a) and therefore the induction number (ß). In this new evaluation, we determined the range of {sigma}a and ß values for which the LIN conditions hold and how de changes when they do not. Two-layer soil models were simulated with both horizontal (HCP) and vertical (VCP) coplanar coil orientations. Soil layers were given electrical conductivity values ranging from 0.1 to 200 mS m–1. As expected, de decreased as {sigma}a increased. Only the least electrically conductive soil produced the de expected when operating under LIN conditions. For the VCP orientation, this was 1.6s, decreasing to 0.8s in the most electrically conductive soil. For the HCP orientation, de decreased from 0.76s to 0.51s. Differences between this and previous studies are attributed to inadequate representation of skin-depth effect and scattering at interfaces between layers. When using LIN instruments to identify depth to water tables, interfaces between soil layers, and variations in salt or moisture content, it is important to consider the dependence of de on {sigma}a.

Abbreviations: FEM, frequency-domain electromagnetic-induction • HCP, horizontal coplanar • LIN, low-induction-number • VCP, vertical coplanar




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