Three-Dimensional Anisotropic Inversions for Time-Domain Airborne Electromagnetic Data

Rocks and ores in nature usually appear macro-anisotropic, especially in sedimentary areas with strong layering. This anisotropy will lead to false interpretation of electromagnetic (EM) data when inverted under the assumption of an isotropic earth. However, the time-domain (TD) airborne EM (AEM) in...

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Main Authors: Yang Su, Changchun Yin, Yunhe Liu, Xiuyan Ren, Bo Zhang, Bin Xiong
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Minerals
Subjects:
Online Access:https://www.mdpi.com/2075-163X/11/2/218
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spelling doaj-9b1ad254ffc148b29d61cce18302c2d22021-02-21T00:02:49ZengMDPI AGMinerals2075-163X2021-02-011121821810.3390/min11020218Three-Dimensional Anisotropic Inversions for Time-Domain Airborne Electromagnetic DataYang Su0Changchun Yin1Yunhe Liu2Xiuyan Ren3Bo Zhang4Bin Xiong5College of Geo-exploration Science and Technology, Jilin University, Changchun 130021, ChinaCollege of Geo-exploration Science and Technology, Jilin University, Changchun 130021, ChinaCollege of Geo-exploration Science and Technology, Jilin University, Changchun 130021, ChinaCollege of Geo-exploration Science and Technology, Jilin University, Changchun 130021, ChinaCollege of Geo-exploration Science and Technology, Jilin University, Changchun 130021, ChinaCollege of Earth Sciences, Guilin University of Technology, Guilin 541002, ChinaRocks and ores in nature usually appear macro-anisotropic, especially in sedimentary areas with strong layering. This anisotropy will lead to false interpretation of electromagnetic (EM) data when inverted under the assumption of an isotropic earth. However, the time-domain (TD) airborne EM (AEM) inversion for an anisotropic model has not attracted much attention. To get reasonable inversion results from TD AEM data, we present in this paper the forward modeling and inversion methods based on a triaxial anisotropic model. We apply three-dimensional (3D) finite-difference on the secondary scattered electric field equation to calculate the frequency-domain (FD) EM responses, then we use the inverse Fourier transform and waveform convolution to obtain TD responses. For the regularized inversion, we calculate directly the sensitivities with respect to three diagonal conductivities and then use the Gauss–Newton (GN) optimization scheme to recover model parameters. To speed up the computation and to reduce the memory requirement, we adopt the moving footprint concept and separate the whole model into a series of small sub-models for the inversion. Finally, we compare our anisotropic inversion scheme with the isotropic one using both synthetic and field data. Numerical experiments show that the anisotropic inversion has inherent advantages over the isotropic ones, we can get more reasonable results for the anisotropic earth structures.https://www.mdpi.com/2075-163X/11/2/218airborne EManisotropyfinite-difference3D inversionGauss–Newton
collection DOAJ
language English
format Article
sources DOAJ
author Yang Su
Changchun Yin
Yunhe Liu
Xiuyan Ren
Bo Zhang
Bin Xiong
spellingShingle Yang Su
Changchun Yin
Yunhe Liu
Xiuyan Ren
Bo Zhang
Bin Xiong
Three-Dimensional Anisotropic Inversions for Time-Domain Airborne Electromagnetic Data
Minerals
airborne EM
anisotropy
finite-difference
3D inversion
Gauss–Newton
author_facet Yang Su
Changchun Yin
Yunhe Liu
Xiuyan Ren
Bo Zhang
Bin Xiong
author_sort Yang Su
title Three-Dimensional Anisotropic Inversions for Time-Domain Airborne Electromagnetic Data
title_short Three-Dimensional Anisotropic Inversions for Time-Domain Airborne Electromagnetic Data
title_full Three-Dimensional Anisotropic Inversions for Time-Domain Airborne Electromagnetic Data
title_fullStr Three-Dimensional Anisotropic Inversions for Time-Domain Airborne Electromagnetic Data
title_full_unstemmed Three-Dimensional Anisotropic Inversions for Time-Domain Airborne Electromagnetic Data
title_sort three-dimensional anisotropic inversions for time-domain airborne electromagnetic data
publisher MDPI AG
series Minerals
issn 2075-163X
publishDate 2021-02-01
description Rocks and ores in nature usually appear macro-anisotropic, especially in sedimentary areas with strong layering. This anisotropy will lead to false interpretation of electromagnetic (EM) data when inverted under the assumption of an isotropic earth. However, the time-domain (TD) airborne EM (AEM) inversion for an anisotropic model has not attracted much attention. To get reasonable inversion results from TD AEM data, we present in this paper the forward modeling and inversion methods based on a triaxial anisotropic model. We apply three-dimensional (3D) finite-difference on the secondary scattered electric field equation to calculate the frequency-domain (FD) EM responses, then we use the inverse Fourier transform and waveform convolution to obtain TD responses. For the regularized inversion, we calculate directly the sensitivities with respect to three diagonal conductivities and then use the Gauss–Newton (GN) optimization scheme to recover model parameters. To speed up the computation and to reduce the memory requirement, we adopt the moving footprint concept and separate the whole model into a series of small sub-models for the inversion. Finally, we compare our anisotropic inversion scheme with the isotropic one using both synthetic and field data. Numerical experiments show that the anisotropic inversion has inherent advantages over the isotropic ones, we can get more reasonable results for the anisotropic earth structures.
topic airborne EM
anisotropy
finite-difference
3D inversion
Gauss–Newton
url https://www.mdpi.com/2075-163X/11/2/218
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