Imperial College London
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Anna Korre

Faculty of Engineering, Department of Earth Science & Engineering

Professor of Environmental Engineering
 
 
 
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Contact

 

+44 (0)20 7594 7372a.korre Website

 
 
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Location

 

1.32BRoyal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Cao:2020:10.1007/s00603-020-02158-4,
author = {Cao, W and Durucan, S and Cai, W and Shi, J-Q and Korre, A and Jamnikar, S and Roer, J and Lurka, A and Siata, R},
doi = {10.1007/s00603-020-02158-4},
journal = {Rock Mechanics and Rock Engineering},
pages = {4139--4162},
title = {The role of mining intensity and pre-existing fracture attributes on spatial, temporal and magnitude characteristics of microseismicity in longwall coal mining},
url = {http://dx.doi.org/10.1007/s00603-020-02158-4},
volume = {53},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Knowledge regarding microseismic characteristics associated with longwall coal mining is crucial in evaluating the potential for underground mining hazards. Although microseismicity is induced by mining activities, it still remains uncertain as to what extent mining activities influence the spatial, temporal, and magnitude characteristics of microseismicity. To establish a thorough understanding of the relationship between microseismic characteristics and mining activities, a 27-month long microseismic monitoring campaign was conducted around a highly stressed coal zone and eight producing longwall panels at Coal Mine Velenje in Slovenia. Each microseismic event was classified to be associated with the producing longwall panel that triggered it, and the microseismic response to multi-panel longwall top coal caving face advance was analysed. Monitoring data have shown that locations of microseismic events coincided with stress concentrated regions. It was established that both seismic count and energy-intensive regions associated with coal mining in different panels are spatially connected, but they do not fully overlap with mined-out or stress concentrated areas. In addition, microseismic event counts frequency was found to be well correlated with mining intensity, while seismic energy magnitude and spatial distribution are poorly correlated with the same. Therefore, microseismic characteristics could not be explained solely by the mining-induced stress transfer and mining intensity, but are believed to be dominated by pre-existing natural fractures throughout the coal seam. Analyses of these observations helped the development of a conceptual seismic-generation model, which provides new insights into the causes of microseismicity in coal mining.
AU  - Cao,W
AU  - Durucan,S
AU  - Cai,W
AU  - Shi,J-Q
AU  - Korre,A
AU  - Jamnikar,S
AU  - Roer,J
AU  - Lurka,A
AU  - Siata,R
DO  - 10.1007/s00603-020-02158-4
EP  - 4162
PY  - 2020///
SN  - 0723-2632
SP  - 4139
TI  - The role of mining intensity and pre-existing fracture attributes on spatial, temporal and magnitude characteristics of microseismicity in longwall coal mining
T2  - Rock Mechanics and Rock Engineering
UR  - http://dx.doi.org/10.1007/s00603-020-02158-4
UR  - http://hdl.handle.net/10044/1/80652
VL  - 53
ER  -
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