Fast marching method-based bent-ray tracing for three-dimensional velocity imaging in mines

Three-dimensional (3D) seismic velocity imaging is crucial for understanding rock mass stress and structures in mining. Conventional straight-ray tomography suffers from ray-path mismatches with true wavefield propagation in complex media, leading to reduced velocity model accuracy. To address this, we propose a 3D velocity imaging method that integrates the Fast Marching Method (FMM) for bent-ray tracing with the Algebraic Reconstruction Technique (ART) for velocity inversion. The proposed approach was validated through checkerboard tests, recovery tests, and laboratory Lead-Break experiments. Results show that FMM-based ray tracing significantly improves inversion accuracy, achieving root-mean-square (RMS) travel-time residuals of 1.39 ms and 28.66 ms in recovery and field tests, corresponding to reductions of 76.6% and 18.6% compared with straight ray tracing-based methods. Application in the Yongshaba mine, Guizhou Province, China, revealed a distinct low-velocity zone surrounded by high-velocity regions, which is consistent with mining activities and excavation plans. This study demonstrates that the FMM-ART framework provides a robust and accurate tool for mine-scale velocity imaging, with implications for monitoring stress evolution, improving safety, and potential integration with real-time monitoring. • FMM is applied for the travel time computation of mine-scale velocity inversion. • FMM-based bent-ray tracing outperforms traditional straight-ray methods, validated by synthetic, field, and laboratory tests. • A low-velocity zone surrounded by high-velocity anomalies was identified in the Yongshaba mine, consistent with mining activities.

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Publication Details

Journal
Rock Mechanics Bulletin
Published
2025-10-25
DOI
https://doi.org/10.1016/j.rockmb.2025.100262
Primary Topic
Seismic Imaging and Inversion Techniques
Type
article
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article

Fast marching method-based bent-ray tracing for three-dimensional velocity imaging in mines

Xibing Li, Linghao Liu, Jie Yang, Xueyi Shang et al.
Rock Mechanics Bulletin
Seismic Imaging and Inversion Techniques
article

Fast marching method-based bent-ray tracing for three-dimensional velocity imaging in mines

Xibing Li, Linghao Liu, Jie Yang, Xueyi Shang, Yi Wang
article en

Abstract

Three-dimensional (3D) seismic velocity imaging is crucial for understanding rock mass stress and structures in mining. Conventional straight-ray tomography suffers from ray-path mismatches with true wavefield propagation in complex media, leading to reduced velocity model accuracy. To address this, we propose a 3D velocity imaging method that integrates the Fast Marching Method (FMM) for bent-ray tracing with the Algebraic Reconstruction Technique (ART) for velocity inversion. The proposed approach was validated through checkerboard tests, recovery tests, and laboratory Lead-Break experiments. Results show that FMM-based ray tracing significantly improves inversion accuracy, achieving root-mean-square (RMS) travel-time residuals of 1.39 ms and 28.66 ms in recovery and field tests, corresponding to reductions of 76.6% and 18.6% compared with straight ray tracing-based methods. Application in the Yongshaba mine, Guizhou Province, China, revealed a distinct low-velocity zone surrounded by high-velocity regions, which is consistent with mining activities and excavation plans. This study demonstrates that the FMM-ART framework provides a robust and accurate tool for mine-scale velocity imaging, with implications for monitoring stress evolution, improving safety, and potential integration with real-time monitoring. • FMM is applied for the travel time computation of mine-scale velocity inversion. • FMM-based bent-ray tracing outperforms traditional straight-ray methods, validated by synthetic, field, and laboratory tests. • A low-velocity zone surrounded by high-velocity anomalies was identified in the Yongshaba mine, consistent with mining activities.

Rock Mechanics BulletinVol. 5(2)
Central South University (CN), Chongqing University (CN), Chinese Academy of Sciences (CN), Institute of Geodesy and Geophysics (CN)
Openalex Percentile: Top 68%
Seismic Imaging and Inversion Techniques
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