DocumentCode
127319
Title
Simple linear inversion of soil electromagnetic properties from analytical model of electromagnetic induction sensor
Author
Vasic, Dejan ; Ambrus, Davorin ; Bilas, Vedran
Author_Institution
Fac. of Electr. Eng. & Comput., Univ. of Zagreb, Zagreb, Croatia
fYear
2014
fDate
18-20 Feb. 2014
Firstpage
15
Lastpage
19
Abstract
We present an analytical model of electromagnetic induction sensor with several receiver coils placed horizontally above a soil consisting of arbitrary number of conductive and magnetic layers. The modeled region is truncated far from the transmitter coil and the solution for its vector magnetic potential is given as a series. We linearize the model with respect to the soil electrical conductivity and magnetic susceptibility of each layer, and calculate the total contribution of all layers by superposition. We evaluate the validity of the linear approximation. Finally, we postulate the inverse problem of determination of the electromagnetic properties of the soil layers using single excitation frequency and illustrate the inversion procedure on a synthetic data set. The linear model and the inversion procedure are suitable for field deployable instrument.
Keywords
electrical conductivity; electromagnetic induction; geophysical techniques; inductive sensors; inverse problems; magnetic susceptibility; soil; analytical model; electromagnetic induction sensor; inverse problem; linear inversion model; magnetic susceptibility; receiver coils; single excitation frequency; soil electrical conductivity; soil electromagnetic properties; synthetic data set; vector magnetic potential; Coils; Conductivity; Linear approximation; Magnetic susceptibility; Receivers; Soil; Transmitters; electromagnetic sounding; induction sensor; inverse problem; soil conductivity; soil susceptibility;
fLanguage
English
Publisher
ieee
Conference_Titel
Sensors Applications Symposium (SAS), 2014 IEEE
Conference_Location
Queenstown
Print_ISBN
978-1-4799-2180-5
Type
conf
DOI
10.1109/SAS.2014.6798908
Filename
6798908
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