1989
DOI: 10.1190/1.1442649
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Two‐dimensional joint inversion of magnetotelluric and dipole‐dipole resistivity data

Abstract: This paper describes 2-D joint inversion of MT and dipole-dipole resistivity data with the emphasis on the computer algorithm. The algorithm produces a 2-D model composed of a large number of rectangular blocks, each of which has constant resistivity. The solutions to two forward problems are based on the finiteelement method. The computation time for the partial derivatives of MT responses is reduced by using the reciprocity relation and the concept of a fictitious source. The smoothness-constrained least-squ… Show more

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Cited by 275 publications
(179 citation statements)
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“…By reducing the problem to a 2D geometry, the computer time required for the finite-element subroutine can be significantly reduced. Only a brief outline of the finite-element method is given here as the details can be found in other sources (Coggon, 1971;Sasaki, 1989). The DC response of a 2D structure is given by Poisson's equation,…”
Section: Numerical Inversionmentioning
confidence: 99%
“…By reducing the problem to a 2D geometry, the computer time required for the finite-element subroutine can be significantly reduced. Only a brief outline of the finite-element method is given here as the details can be found in other sources (Coggon, 1971;Sasaki, 1989). The DC response of a 2D structure is given by Poisson's equation,…”
Section: Numerical Inversionmentioning
confidence: 99%
“…Apparent resistivity data from individual profiles were inverted using RES2DINV inversion algorithms developed by Loke & Baker (1996). The algorithm employs forward modeling subroutine to determine the apparent ground resistivity and thereafter uses a non-linear least squares optimisation techniques to invert the apparent ground resistivity data, clean the data by filtering out noisy data and effect correct depth matching based on electrode spacing to generate a two-dimensional (2D) true ground resistivity model of the subsurface (Sasaki 1989, Loke 1999, 2000, Loke et al 2013. The resultant inverted resistivity data from individual profiles were depth sorted into their corresponding depths of measurements as indicated in the inverted resistivity data.…”
Section: Data Processingmentioning
confidence: 99%
“…Among these routines, the regularized least-squares optimization particularly with a smoothness constraint (Sasaki, 1989;deGroot-Hedlin and Constable, 1990;Loke and Barker, 1996;Li and Oldenburg, 2000;Loke et al, 2003) has become a popular technique for interpreting the ERT data sets. It is considered a flexible method that allows including some constrains during the inversion procedures.…”
Section: Inversion Schemementioning
confidence: 99%