3D near-to-surface conductivity reconstruction by inversion of VETEM data using the distorted Born iterative method

G. L. Wang; W. C. Chew; T. J. Cui; A. A. Aydiner; D. L. Wright; D. V. Smith

doi:10.1088/0266-5611/20/6/S12

3D near-to-surface conductivity reconstruction by inversion of VETEM data using the distorted Born iterative method

G. L. Wang, W. C. Chew, T. J. Cui, A. A. Aydiner, D. L. Wright, D. V. Smith

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

Three-dimensional (3D) subsurface imaging by using inversion of data obtained from the very early time electromagnetic system (VETEM) was discussed. The study was carried out by using the distorted Born iterative method to match the internal nonlinear property of the 3D inversion problem. The forward solver was based on the total-current formulation bi-conjugate gradient-fast Fourier transform (BCCG-FFT). It was found that the selection of regularization parameter follow a heuristic rule as used in the Levenberg-Marquardt algorithm so that the iteration is stable.

Original language	English (US)
Pages (from-to)	S195-S216
Journal	Inverse Problems
Volume	20
Issue number	6
DOIs	https://doi.org/10.1088/0266-5611/20/6/S12
State	Published - Dec 2004

ASJC Scopus subject areas

Theoretical Computer Science
Signal Processing
Mathematical Physics
Computer Science Applications
Applied Mathematics

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10.1088/0266-5611/20/6/S12

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title = "3D near-to-surface conductivity reconstruction by inversion of VETEM data using the distorted Born iterative method",

abstract = "Three-dimensional (3D) subsurface imaging by using inversion of data obtained from the very early time electromagnetic system (VETEM) was discussed. The study was carried out by using the distorted Born iterative method to match the internal nonlinear property of the 3D inversion problem. The forward solver was based on the total-current formulation bi-conjugate gradient-fast Fourier transform (BCCG-FFT). It was found that the selection of regularization parameter follow a heuristic rule as used in the Levenberg-Marquardt algorithm so that the iteration is stable.",

author = "Wang, {G. L.} and Chew, {W. C.} and Cui, {T. J.} and Aydiner, {A. A.} and Wright, {D. L.} and Smith, {D. V.}",

year = "2004",

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T1 - 3D near-to-surface conductivity reconstruction by inversion of VETEM data using the distorted Born iterative method

AU - Wang, G. L.

AU - Chew, W. C.

AU - Cui, T. J.

AU - Aydiner, A. A.

AU - Wright, D. L.

AU - Smith, D. V.

PY - 2004/12

Y1 - 2004/12

N2 - Three-dimensional (3D) subsurface imaging by using inversion of data obtained from the very early time electromagnetic system (VETEM) was discussed. The study was carried out by using the distorted Born iterative method to match the internal nonlinear property of the 3D inversion problem. The forward solver was based on the total-current formulation bi-conjugate gradient-fast Fourier transform (BCCG-FFT). It was found that the selection of regularization parameter follow a heuristic rule as used in the Levenberg-Marquardt algorithm so that the iteration is stable.

AB - Three-dimensional (3D) subsurface imaging by using inversion of data obtained from the very early time electromagnetic system (VETEM) was discussed. The study was carried out by using the distorted Born iterative method to match the internal nonlinear property of the 3D inversion problem. The forward solver was based on the total-current formulation bi-conjugate gradient-fast Fourier transform (BCCG-FFT). It was found that the selection of regularization parameter follow a heuristic rule as used in the Levenberg-Marquardt algorithm so that the iteration is stable.

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SP - S195-S216

JO - Inverse Problems

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IS - 6

ER -

3D near-to-surface conductivity reconstruction by inversion of VETEM data using the distorted Born iterative method

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