Abstract
This paper proposes a classification procedure for minable reserves for use by mining companies. After reviewing resource/reserves concepts and definitions, the inter-relationship between reserves and mining project is examined with a view to establishing a classification based on: a) considerations of economic feasibility, and b) level of confidence of the design itself. The described approach relies on the probabilistic evaluation of Net Present Value (NPV) and is presented as an operational procedure for recognizing and characterizing the random technical and economic magnitudes of mine designs with particular reference to the reserves.
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References
Diehl, P. and David, M., ‘Classification of ore reserves/resources based on geostatistical methods’,, CIM Bulletin, Feb. 1982, p. 127
United Nations Economic and Social Council, The International Classification of Mineral Resources, E/C.7/104, Ankara, March 1979.
U.S. Bureau of Mines and U.S. Geological Survey, Resource/Reserve Classification System, U.S. Geological Survey, Circular C831, Washington, D.C., June 1980.
Energy, Mines and Resources Canada, Departmental Terminology and Definitions of Reserves and Resources, Interim Doc., Ottawa, Jan. 1975.
Australian Inst. Min. Metall, and the Australian Min. Ind. Council, Report by the Joint Committee on Ore Reserves, Victoria, 1972, Unpubl.
Sabourin, R., Definitions des réserves (Reserves evaluation), Energy, Mines and Resources Canada, Energy Research Program, Rep. ERP/MRL, Ottawa, 1978.
Institution of Mining and Metallurgy, Standards and Definitions, London, 1902.
Cummins, A.B. and Given, I.A. (Ed.), SME - Mining Engineering Handbook, New York, 1973.
David, M., Geostatistical ore reserve estimation, Elsevier, 1977.
Journel, A.G., and Huijbregts, Ch. J., Mining Geostatistics, Academic Press, 1978.
Taylor, H.K., ‘General background theory of cut-off grades’, Inst. Min. Metall. Trans., Sec. A., vol. 81 1972.
Matheron, G., Les variables régionalisées et leur estimation (Regionalized variables and their estimation), Masson, Paris, 1965.
Mao, J.C.T., ‘The internal rate of return as a ranking criterion’, Engineering Economist, 1966, 11, No. 4
Teichroew, D., Robicheck, A.A. and Montalbano, M., ‘Mathematical analysis of rates of return under certainty’, Management Science, II, No. 3, 1965.
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© 1988 D. Reidel Publishing Company, Dordrecht, Holland
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Bruno, R., Guarascio, M., Lipari, D. (1988). A Classification Procedure for Exploitable Reserves. In: Chung, C.F., Fabbri, A.G., Sinding-Larsen, R. (eds) Quantitative Analysis of Mineral and Energy Resources. NATO ASI Series, vol 223. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-4029-1_33
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DOI: https://doi.org/10.1007/978-94-009-4029-1_33
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-8288-4
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