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Three-dimensional inversion of magnetotelluric impedance tensor data and full distortion matrix.

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posted on 2015-05-07, 10:30 authored by Anna Avdeeva, U. Max S. Moorkamp, D. Avdeev, M. Jegen, M. Miensopust
Galvanic distortion of magnetotelluric (MT) data due to small-scale surficial bodies or due to topography is one of the major factors that prevents accurate imaging of the subsurface. We present a three-dimensional algorithm for joint inversion of MT impedance tensor data and a frequency-independent full distortion matrix that circumvents this problem. We perform several tests of our algorithm on synthetic data affected by different amounts of distortion. These tests show that joint inversion leads to a better conductivity model compared to the inversion of the MT impedance tensor without any correction for distortion effects. For highly distorted data, inversion without any distortion correction results in strong artefacts and we cannot fit the data to the specified noise level. When the distortion is reduced, we can fit the data to an RMS of one, but still observe artefacts in the shallow part of the model. In contrast, in both cases our joint inversion can fit the data within the assumed noise and the resulting models are comparable to the inversion of undistorted data. In addition, we show that the elements of the full distortion matrix can be well resolved by our algorithm. Finally, when inverting undistorted data, including the distortion matrix in the inversion only results in a minor loss of resolution. We therefore consider our new approach a promising tool for the general analysis of real field data.

History

Citation

Geophysical Journal International (2015) 202, 464–481

Author affiliation

/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Geology

Version

  • VoR (Version of Record)

Published in

Geophysical Journal International (2015) 202

Publisher

Oxford University Press (OUP), Royal Astronomical Society

issn

0956-540X

eissn

1365-246X

Acceptance date

2015-03-30

Copyright date

2015

Available date

2015-08-21

Publisher version

http://gji.oxfordjournals.org/content/202/1/464

Editors

Trampert, J.

Language

en

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