Mechanism of time-lapse electrical resistivity tomography (ERT) response to mining-induced fracture evolution in shallow coal seams: a coupled DEM-FEM study

Introduction Dynamic monitoring of the Water Flowing Fractured Zone (WCFZ) is critical for preventing water hazards in shallow coal seams, yet mapping the complex spatiotemporal evolution of mining-induced fractures to electrical signals remains challenging. Methods This study proposes a time-lapse electrical forward modeling strategy coupling Discrete Element Method (DEM) and Finite Element Method (FEM) via Digital Image Processing (DIP). A UDEC “Brick” meshing strategy was employed to simulate overburden mechanics, while a DIP-based pixel mapping technique reconstructed true resistivity models preserving geometric anisotropy for Pole-Dipole simulations in COMSOL. Results Results reveal the “vertical initiation-penetration-compaction recovery” mechanism and its distinct electrical signatures. Specifically, the full penetration stage (220 m) forms short-circuit channels inducing strong low-resistivity anomalies. In the stable mining stage (400 m), the apparent resistivity section exhibits a typical “strong-side, weak-center” differentiation controlled by the “O-ring” theory. Quantitative imaging of time-lapse resistivity change rate confirms that boundary tensile zones maintain a high negative change rate of approximately -40%, while the central compacted zone recovers to about -10%. Discussion This study validates the feasibility of using time-lapse electrical resistivity tomography (ERT) to quantitatively evaluate the “damage-recovery” state of the goaf, providing a theoretical basis for precise water hazard monitoring.

Authors

Institutions

Publication Details

Journal
Frontiers in Earth Science
Published
2026-02-27
DOI
https://doi.org/10.3389/feart.2026.1778695
Primary Topic
Geophysical and Geoelectrical Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mechanism of time-lapse electrical resistivity tomography (ERT) response to mining-induced fracture evolution in shallow coal seams: a coupled DEM-FEM study

Yuteng Li, Zhengfei Wu, Jiajia Zhao, Jianyuan Cheng
Frontiers in Earth Science
Geophysical and Geoelectrical Methods
article

Mechanism of time-lapse electrical resistivity tomography (ERT) response to mining-induced fracture evolution in shallow coal seams: a coupled DEM-FEM study

Yuteng Li, Zhengfei Wu, Jiajia Zhao, Jianyuan Cheng
article en

Abstract

Introduction Dynamic monitoring of the Water Flowing Fractured Zone (WCFZ) is critical for preventing water hazards in shallow coal seams, yet mapping the complex spatiotemporal evolution of mining-induced fractures to electrical signals remains challenging. Methods This study proposes a time-lapse electrical forward modeling strategy coupling Discrete Element Method (DEM) and Finite Element Method (FEM) via Digital Image Processing (DIP). A UDEC “Brick” meshing strategy was employed to simulate overburden mechanics, while a DIP-based pixel mapping technique reconstructed true resistivity models preserving geometric anisotropy for Pole-Dipole simulations in COMSOL. Results Results reveal the “vertical initiation-penetration-compaction recovery” mechanism and its distinct electrical signatures. Specifically, the full penetration stage (220 m) forms short-circuit channels inducing strong low-resistivity anomalies. In the stable mining stage (400 m), the apparent resistivity section exhibits a typical “strong-side, weak-center” differentiation controlled by the “O-ring” theory. Quantitative imaging of time-lapse resistivity change rate confirms that boundary tensile zones maintain a high negative change rate of approximately -40%, while the central compacted zone recovers to about -10%. Discussion This study validates the feasibility of using time-lapse electrical resistivity tomography (ERT) to quantitatively evaluate the “damage-recovery” state of the goaf, providing a theoretical basis for precise water hazard monitoring.

Frontiers in Earth ScienceVol. 14
China Coal Technology and Engineering Group Corp (China) (CN), China Coal Research Institute (China) (CN)
Openalex Percentile: Top 57%
Geophysical and Geoelectrical Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.