A new inversion scheme for time-lapse electrical resistivity tomography based on a full-gradient Jacobian matrix

Abstract Time-lapse electrical resistivity tomography (ERT) has been proved to be a useful method for monitoring subsurface changes. Four-dimensional (4D) inversion scheme is one of the most common inversion schemes used to obtain subsurface resistivity at different moments. However, it uses the cross-time term to regulate the models at neighbouring moments and still needs to be improved. Therefore, we proposed a full-gradient difference (FGD) inversion scheme based on the 4D inversion scheme. The numerical experiment shows that the FGD inversion scheme has good imaging and anti-noise capability, which can be used in ERT monitoring.

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Publication Details

Journal
Journal of Physics Conference Series
Published
2024-11-01
DOI
https://doi.org/10.1088/1742-6596/2895/1/012052
Primary Topic
Geophysical and Geoelectrical Methods
Type
article
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article

A new inversion scheme for time-lapse electrical resistivity tomography based on a full-gradient Jacobian matrix

Jiahe Yan, Zhaofa Zeng, Shuai Zhou, Jianwei Zhao
1 links
Journal of Physics Conference Series
Geophysical and Geoelectrical Methods
article

A new inversion scheme for time-lapse electrical resistivity tomography based on a full-gradient Jacobian matrix

Jiahe Yan, Zhaofa Zeng, Shuai Zhou, Jianwei Zhao
article en

Abstract

Abstract Time-lapse electrical resistivity tomography (ERT) has been proved to be a useful method for monitoring subsurface changes. Four-dimensional (4D) inversion scheme is one of the most common inversion schemes used to obtain subsurface resistivity at different moments. However, it uses the cross-time term to regulate the models at neighbouring moments and still needs to be improved. Therefore, we proposed a full-gradient difference (FGD) inversion scheme based on the 4D inversion scheme. The numerical experiment shows that the FGD inversion scheme has good imaging and anti-noise capability, which can be used in ERT monitoring.

Journal of Physics Conference SeriesVol. 2895(1)
Jilin University (CN), Jilin Province Science and Technology Department (CN)
Sustainable cities and communities
Openalex Percentile: Top 77%
Geophysical and Geoelectrical Methods
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