Quantification of fault uncertainty and risk assessment in longwall coal mining: stochastic simulation, back analysis, longwall design and reserve risk assessment-Reference-Cited by-同舟云学术

Quantification of fault uncertainty and risk assessment in longwall coal mining: stochastic simulation, back analysis, longwall design and reserve risk assessment

Published:2010-06 Issue:2 Volume:119 Page:59-67
ISSN:1474-9009
Container-title:Mining Technology
language:en
Short-container-title:Mining Technology

Author:

Dimitrakopoulos R.,Li S. X.

Publisher

Informa UK Limited

Subject

Geology,Geotechnical Engineering and Engineering Geology,General Earth and Planetary Sciences,General Engineering,General Environmental Science

Link

http://www.tandfonline.com/doi/pdf/10.1179/037178410X12780655704608

Reference17 articles.

1. J. Scott, R. Dimitrakopoulos, S. Li and K. Bartlett: ‘Fractal-based fault simulations using a geological analogue: quantification of fault risk at Wyong, NSW, Australia’, in ‘Orebody modelling and strategic mine planning’, (ed. R. Dimitrakopoulos), 2nd edn, Spectrum Vol. 14, 87–93; 2007, Melbourne, The ustralasian Institute of Mining and Metallurgy.

2. S. Li, R. Dimitrakopoulos, J. Scott and D. Dunn: ‘Quantification of geological uncertainty and risk using stochastic simulation and applications in the coal mining industry’, in ‘Orebody modelling and strategic mine planning’, (ed. R. Dimitrakopoulos), 2nd edn, Spectrum Vol. 14, 253–260; 2007, Melbourne, The Australasian Institute of Mining and Metallurgy.

3. Stochastic Structural Modeling

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4. Multi-fractal conditional simulation of fault populations in coal seams using analogues: Method and application;International Journal of Mining, Reclamation and Environment;2018-06-05