A Discrimination Algorithm for UXO Using Time Domain Electromagnetics

Author:

Pasion Leonard R.1,Oldenburg Douglas W.1

Affiliation:

1. UBC—Geophysical Inversion Facility, Department of Earth and Ocean Sciences, University of British Columbia, Vancouver, B.C., V6T 1Z4, Canada

Abstract

An assumption is made that the Time Domain Electromagnetic (TEM) response of a buried axisymmetric metallic object can be modelled as the sum of two dipoles centered at the midpoint of the body. The strength of the dipoles depends upon the relative orientation between the object and the source field, and also upon the shape and physical properties of the body. Upon termination of the source field, each dipole is assumed to decay as [Formula: see text]. The parameters [Formula: see text], [Formula: see text], [Formula: see text] and [Formula: see text] depend upon the conductivity, permeability, size and shape of the object, and these can be extracted from the measurements by using a nonlinear parametric inversion algorithm. Investigations carried out using an analytic solution for a sphere and laboratory measurements of steel and aluminum rectangular prisms, suggest the following two-step methodology: (1) The value of [Formula: see text] is first used as a diagnostic to assess whether the metallic object is non-magnetic or magnetic, (2) the ratios of [Formula: see text] and [Formula: see text] are then diagnostic indicators as to whether the geometry is plate-like (uninteresting) or rod-like (a high candidate for being a UXO). Results from the application of this algorithm to a TEM field data set acquired at the United States Army Corps of Engineers Research and Development Centre (ERDC) UXO Test Site have successfully identified a UXO to be magnetic and rod-like.

Publisher

Environmental and Engineering Geophysical Society

Subject

Geophysics,Geotechnical Engineering and Engineering Geology,Environmental Engineering

Reference23 articles.

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2. Bard, Y., 1974, Nonlinear Parameter Estimation: Academic Press. New York, New York.

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4. Baum, C. E. , 1999, The magnetic polarizability dyadic and point symmetry: in Baum, C. E. , Ed., Detection and Identification of Visually Obscured Targets, 219–242.

5. Butler, D., E. Cespedes, K. O’Neill, S. Arcone, J. Llopis, J. Curtis, J. Cullinane, and C. Meyer, 1998, Overview of Science and Technology Program For JPG Phase IV: Proceedings of UXO Forum ’98.

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