The impact of variability and correlation of selected geological parameters on the economic assessment of bituminous coal deposits with use of non-parametric bootstrap and copula-based Monte Carlo simulation

Michał Kopacz, Eugeniusz J. Sobczyk and Dominik Galica

Resources Policy, 2018, vol. 55, issue C, 171-183

Abstract: This paper presents an assessment of the impact of variability and interdependencies of selected deposit parameters on the net present value (NPV) and internal rate of return (IRR). The subjects of the analyses were three economically viable seams at one of the bituminous coal deposits in Poland. The source of information was the geological model and operational data of the mine “X”. The simulation was developed based on non-parametric bootstrapping, where the influence of coal quality parameters, seam thickness, spatial density of coal, and waste rock derived from coal partings, floor cutting and dinting, and roof falls, was tested.

Keywords: Hard coal mining; Bootstrap sampling; Gaussian copula; Empirical copula; Geological parameters interdependencies; Valuation; Risk; NPV; IRR (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:jrpoli:v:55:y:2018:i:c:p:171-183

DOI: 10.1016/j.resourpol.2017.11.015

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