%0 Journal Article
%T Inverse modeling of HEM data using a new inversion algorithm
%J Journal of Mining and Environment
%I Shahrood University of Technology
%Z 2251-8592
%A Arab-Amiri, A. R.
%A Moradzadeh, A.
%A Fathianpour, N.
%A Siemon, B.
%D 2011
%\ 06/21/2011
%V Volume 1
%N Number 2
%P -
%! Inverse modeling of HEM data using a new inversion algorithm
%K HEM data inversion
%K MT
%K DIGHEM
%K resistivity model
%K SUTHEM
%R 10.22044/jme.2011.10
%X Helicopter-borne frequency-domain electromagnetic (HEM) surveys are used extensively for mineral and groundwater
exploration and a number of environmental investigations. To have a meaningful interpretation of the measured multi-
frequency HEM data, in addition to the resistivity maps which are provided in each frequency or for some particular
depth levels, it is a necessity to have a suitable modeling technique to produce resistivity cross-section along some
specific profiles. This paper aims to: (1) develop a new inversion method to handle HEM data; (2) compare its results
with the well known Amplitude, Niblett-Bostick (NB), and Siemon inversion methods. The basic formulation of this
new inversion routine was provided based on the Zonge spatial filtering procedure to cure static shift effect on the
magnetotelluric (MT) apparent resistivity curves. When the relevant formulas and the required algorithm for the inverse
modeling of HEM data were provided, they were then coded in Matlab software environment. This new inversion
program, named as SUTHEM, was used to invert some sets of one and two dimensional (1D and 2D) model synthetic
data which were contaminated by random noise. It was also applied to invert one set of real field data acquired in the
NW part of Iran by the DIGHEM system. The obtained results of this method and their comparison with those of the
aforementioned methods indicate that SUTHEM is able to produce the results like those produced by the commercial
Siemon routine. In addition, the new inversion method is superior to the Amplitude and the NB methods particularly in
inversion of the noisy data.
%U http://jme.shahroodut.ac.ir/article_10_07bb4ada9a75d5b138388da66969dfd8.pdf