Estimating magnetic susceptible from EMI data

I. Shamatava; B. E. Barrowes; F. Shubitidze; B. Zhang; K. O'Neill; P. Fernández; K. D. Paulsen

doi:10.1117/12.720034

7 May 2007 Estimating magnetic susceptible from EMI data

I. Shamatava, B. E. Barrowes, F. Shubitidze, B. Zhang, K. O'Neill, P. Fernández, K. D. Paulsen

Proceedings Volume 6553, Detection and Remediation Technologies for Mines and Minelike Targets XII; 655308 (2007) https://doi.org/10.1117/12.720034
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

Abstract

Studies have showed that magnetically susceptible soils significantly affect on the EMI sensors performances, which in return reduce the sensors discrimination capabilities. In order to improve EMI sensors detection and discrimination performances first soil's magnetic susceptibility needs to be estimated, and then the soils EMI responses have to be taken into account during geophysical data inversion procedure. Until now the soil's magnetic susceptibility is determined using a tiny amount (up to 15 mg) of soil's probe. This approach in many cases does not represent effective magnetic susceptibility that affects on the EMI sensors performances. This paper presents an approach for estimating soil's magnetic susceptibility from low frequency electromagnetic induction data and it is designed namely for the GeoPhex frequency domain GEM-3 sensor. In addition, a numerical code called the method auxiliary sources (MAS) is employed for establishing relation between magnetically susceptible soil's surface statistics and EMI scattered field. Using the MAS code EMI scatterings are studied for magnetically susceptible soils with two types of surfaces: body of revolution (BOR) and 3D rough surface. To demonstrate applicability of the technique first the magnetic susceptibility is inverted from frequency domain data that were collected at Cold Regions Research and Engineering Laboratory's test-stand site. Then, several numerical results are presented to demonstrate the relation between surface roughness statistic and EMI scattered fields.

Citation Download Citation

I. Shamatava, B. E. Barrowes, F. Shubitidze, B. Zhang, K. O'Neill, P. Fernández, and K. D. Paulsen "Estimating magnetic susceptible from EMI data", Proc. SPIE 6553, Detection and Remediation Technologies for Mines and Minelike Targets XII, 655308 (7 May 2007); https://doi.org/10.1117/12.720034

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