Quantification of geological uncertainty and risk using stochastic simulation and applications in the coal mining industry

Li, S., Dimitrakopoulos, R., Scott, J. R. and Dunn, D. (2004). Quantification of geological uncertainty and risk using stochastic simulation and applications in the coal mining industry. In: Orebody Modelling and Strategic Mine Planning -- Uncertainty and Risk Management International Symposium 2004. Orebody Modelling and Strategic Mine Planning -- Uncertainty and Risk Management International Symposium 2004, Perth, (185-192). 22-24 November 2004.

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Author Li, S.
Dimitrakopoulos, R.
Scott, J. R.
Dunn, D.
Title of paper Quantification of geological uncertainty and risk using stochastic simulation and applications in the coal mining industry
Conference name Orebody Modelling and Strategic Mine Planning -- Uncertainty and Risk Management International Symposium 2004
Conference location Perth
Conference dates 22-24 November 2004
Proceedings title Orebody Modelling and Strategic Mine Planning -- Uncertainty and Risk Management International Symposium 2004
Place of Publication Carlton, Victoria
Publisher The Australasian Institute of Mining and Metallurgy
Publication Year 2004
Sub-type Fully published paper
ISBN 1 920806 22 9
Start page 185
End page 192
Total pages 8
Collection year 2004
Language eng
Abstract/Summary Stochastic simulation is a recognised tool for quantifying the spatial distribution of geological uncertainty and risk in earth science and engineering. Metals mining is an area where simulation technologies are extensively used; however, applications in the coal mining industry have been limited. This is particularly due to the lack of a systematic demonstration illustrating the capabilities these techniques have in problem solving in coal mining. This paper presents two broad and technically distinct areas of applications in coal mining. The first deals with the use of simulation in the quantification of uncertainty in coal seam attributes and risk assessment to assist coal resource classification, and drillhole spacing optimisation to meet pre-specified risk levels at a required confidence. The second application presents the use of stochastic simulation in the quantification of fault risk, an area of particular interest to underground coal mining, and documents the performance of the approach. The examples presented demonstrate the advantages and positive contribution stochastic simulation approaches bring to the coal mining industry
Subjects E1
290701 Mining Engineering
Q-Index Code E1

 
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Created: Thu, 23 Aug 2007, 20:17:03 EST