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{Agrawal:2023:10.1007/s00603-022-03076-3,
author = {Agrawal, H and Durucan, S and Cao, W and Korre, A and Shi, J-Q},
doi = {10.1007/s00603-022-03076-3},
journal = {Rock Mechanics and Rock Engineering},
pages = {6929--6958},
title = {Rockburst and gas outburst forecasting using a probabilistic risk assessment framework in longwall top coal caving faces},
url = {http://dx.doi.org/10.1007/s00603-022-03076-3},
volume = {56},
year = {2023}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - A probabilistic risk assessment framework was developed to mathematically represent the complex engineering phenomena of rock bursts and gas outbursts for a heterogeneous coal seam. An innovative object-based non-conditional simulation approach was used to distribute lithological heterogeneity present in the coal seam to respect their geological origin. The changing mining conditions during longwall top coal caving mining (LTCC) were extracted from a coupled numerical model to provide statistically sufficient data for probabilistic analysis. The complex interdependencies among abutment stress, pore pressure, the volume of total gas emission and incremental energy release rate, their stochastic variations and uncertainty were realistically implemented in the GoldSim software, and 100,000 equally likely scenarios were simulated using the Monte Carlo method to determine the probability of rock bursts and gas outbursts. The results obtained from the analysis incorporate the variability in mechanical, elastic and reservoir properties of coal due to lithological heterogeneity and result in the probability of the occurrence of rock bursts, coal and gas outbursts, and safe mining conditions. The framework realistically represents the complex mining environment, is resilient and results are reliable. The framework is generic and can be suitably modified to be used in different underground mining scenarios, overcoming the limitations of earlier empirical indices used.
AU  - Agrawal,H
AU  - Durucan,S
AU  - Cao,W
AU  - Korre,A
AU  - Shi,J-Q
DO  - 10.1007/s00603-022-03076-3
EP  - 6958
PY  - 2023///
SN  - 0723-2632
SP  - 6929
TI  - Rockburst and gas outburst forecasting using a probabilistic risk assessment framework in longwall top coal caving faces
T2  - Rock Mechanics and Rock Engineering
UR  - http://dx.doi.org/10.1007/s00603-022-03076-3
UR  - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000864537300001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - https://link.springer.com/article/10.1007/s00603-022-03076-3
UR  - http://hdl.handle.net/10044/1/100879
VL  - 56
ER  -
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