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

@inproceedings{Cao:2019,
author = {Cao, W and Durucan, S and Cai, W and Shi, JQ and Korre, A},
title = {Multiple-panel longwall top coal caving induced microseismicity: Monitoring and development of a statistical forecasting model for hazardous microseismicity},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - Continuous microseismic monitoring was carried out around 9 producing longwall top coal caving (LTCC) panels with concurrently recorded daily face advance rates at Coal Mine Velenje in Slovenia over a 27-month monitoring period. The monitoring results suggested that spatial and magnitude characteristics of microseismicity are dominated by those of underlying fractures, while microseismic event rate is under the combined effects of local natural fracture abundance and mining intensity. On this basis, a data-driven yet physics-based forecasting methodology was established for LTCC induced hazardous microseismicity, which is above a given threshold of energy magnitude and within a certain distance to the longwall face. Statistical analyses were first conducted to characterise temporal, magnitude and spatial characteristics of long-term recorded microseismicity, based on which a short-term forecasting model was developed to calculate the probability of hazardous microseismicity considering the three characteristics. The model developed was employed to forecast the likelihood of hazardous microseismicity at one of these LTCC panels, and the forecasted results were supported by the monitoring. This statistical model has important implications in the evaluation of mining-induced hazards, and it can be used to optimise longwall face advance rates to minimise the risk of hazardous microseismicity in burst-prone deep-level mining sites.
AU  - Cao,W
AU  - Durucan,S
AU  - Cai,W
AU  - Shi,JQ
AU  - Korre,A
PY  - 2019///
TI  - Multiple-panel longwall top coal caving induced microseismicity: Monitoring and development of a statistical forecasting model for hazardous microseismicity
ER  -
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