Open Access1‐D multimodel joint inversion of TEM‐data over multidimensional structures
Author(s) -
Scholl Carsten,
Helwig Stefan L.,
Tezkan Bülent,
Goldman Mark,
Kafri Uri
Publication year - 2009
Publication title -
geophysical journal international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.302
H-Index - 168
eISSN - 1365-246X
pISSN - 0956-540X
DOI - 10.1111/j.1365-246x.2008.03973.x
Subject(s) - inversion (geology) , spurious relationship , algorithm , geology , inverse theory , regularization (linguistics) , computer science , geophysics , seismology , artificial intelligence , machine learning , surface wave , tectonics , telecommunications
SUMMARY A novel 1‐D joint inversion algorithm for interpreting multicomponent transient electromagnetic (TEM) data was developed to invert individual data sets using independent smooth models. The model consistency is controlled by additional entries in the regularization matrix in a smooth model inversion. Compared with the traditional joint inversion approach, the new algorithm is far less likely to produce spurious model features, due to multidimensional distortions of the data. The new inversion scheme was successfully applied to field data sets recorded in Northern Israel.