The influence of variability models for selected geological parameters on the resource base and economic efficiency measures - Example of coking coal deposit
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DOI: 10.1016/j.resourpol.2020.101711
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References listed on IDEAS
- Kopacz, Michał & Sobczyk, Eugeniusz J. & Galica, Dominik, 2018. "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 sim," Resources Policy, Elsevier, vol. 55(C), pages 171-183.
- Rademeyer, Maryke C. & Minnitt, Richard C.A. & Falcon, Rosemary M.S., 2019. "A mathematical optimisation approach to modelling the economics of a coal mine," Resources Policy, Elsevier, vol. 62(C), pages 561-570.
- Matyjaszek, Marta & Wodarski, Krzysztof & Krzemień, Alicja & Escanciano García-Miranda, Carmen & Suárez Sánchez, Ana, 2018. "Coking coal mining investment: Boosting European Union's raw materials initiative," Resources Policy, Elsevier, vol. 57(C), pages 88-97.
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- Sobczyk, Eugeniusz J. & Galica, Dominik & Kopacz, Michał & Sobczyk, Wiktoria, 2022. "Selecting the optimal exploitation option using a digital deposit model and the AHP," Resources Policy, Elsevier, vol. 78(C).
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Keywords
Coking coal resources; Numerical models of deposits; Models of spatial variability; Economic efficiency assessment; Monte Carlo simulation; Empirical copula; NPV; IRR;All these keywords.
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