A parallel and improved goal-oriented adaptive finite-element approach for 3-D direct current resistivity anisotropic forward

Abstract This study presents a parallel and accurate adaptive finite element algorithm for 3-D anisotropic direct current (DC) resistivity forward modeling. It enables the simulation of 3-D complex environments, including undulating topography, intricate subsurface structures, and arbitrary anisotropic distributions. The study improves the goal-oriented posterior error estimation strategy by introducing a volume factor into the dual problem. This improvement not only enhances the numerical accuracy of measurement points located far from the source but also improves the error distribution within the measurement region. Additionally, to solve the linear equation system, we employ an algebraic multigrid preconditioned conjugate gradient solver. Furthermore, to accelerate the solving of large-scale 3-D problems, the domain decomposition technique is incorporated into the solver. The newly developed algorithm’s high accuracy is validated through a two-layer anisotropic model. Compared with published results, the testing results on a 3-D synthetic model with undulating topography demonstrate the algorithm’s efficiency in terms of solving time and memory usage.

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Publication Details

Journal
Journal of Physics Conference Series
Published
2024-11-01
DOI
https://doi.org/10.1088/1742-6596/2895/1/012001
Primary Topic
Electromagnetic Simulation and Numerical Methods
Type
article
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article

A parallel and improved goal-oriented adaptive finite-element approach for 3-D direct current resistivity anisotropic forward

Zhengguang Liu, Lewen Qiu, Jingtian Tang
Journal of Physics Conference Series
Electromagnetic Simulation and Numerical Methods
article

A parallel and improved goal-oriented adaptive finite-element approach for 3-D direct current resistivity anisotropic forward

Zhengguang Liu, Lewen Qiu, Jingtian Tang
article en

Abstract

Abstract This study presents a parallel and accurate adaptive finite element algorithm for 3-D anisotropic direct current (DC) resistivity forward modeling. It enables the simulation of 3-D complex environments, including undulating topography, intricate subsurface structures, and arbitrary anisotropic distributions. The study improves the goal-oriented posterior error estimation strategy by introducing a volume factor into the dual problem. This improvement not only enhances the numerical accuracy of measurement points located far from the source but also improves the error distribution within the measurement region. Additionally, to solve the linear equation system, we employ an algebraic multigrid preconditioned conjugate gradient solver. Furthermore, to accelerate the solving of large-scale 3-D problems, the domain decomposition technique is incorporated into the solver. The newly developed algorithm’s high accuracy is validated through a two-layer anisotropic model. Compared with published results, the testing results on a 3-D synthetic model with undulating topography demonstrate the algorithm’s efficiency in terms of solving time and memory usage.

Journal of Physics Conference SeriesVol. 2895(1)
Central South University (CN)
Openalex Percentile: Top 80%
Electromagnetic Simulation and Numerical Methods
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