Abstract
Estimation of the recoverable resources are made using non-linear geostatistical methods allowing to model the grade-tonnage relations corresponding to the mining selectivity, in other words, to a certain volume (support).
The methods have practical importance for the mine geologists, who commonly involved in estimating recoverable resources and converting them to ore reserves, therefore the change-of-support techniques are explained in sufficient details for their practical application by the geologists. A special attention is made to the novel technique, known as Localised Uniform Conditioning (LUC), allowing estimating grade into small blocks.
References
Abzalov MZ (2006) Localised Uniform Conditioning (LUC): a new approach for direct modelling of small blocks. Math Geol 38(4):393–411
Abzalov MZ (2014) Localised Uniform Conditioning: method and application case studies. J South Afr Inst Min Metall 114(1):1–6
Abzalov MZ, Humphreys M (2002a) Resource estimation of structurally complex and discontinuous mineralisation using non-linear geostatistics: case study of a mesothermal gold deposit in northern Canada. Exp Min Geol J 11(1–4):19–29
Abzalov MZ, Humphreys M (2002b) Geostatistically assisted domaining of structurally complex mineralisation: method and case studies. Geostatistically assisted domaining of structurally complex mineralisation: method and case studies. In: The AusIMM 2002 conference: 150 years of mining, Publication series No 6/02, AusIMM, Melbourne pp 345–350
Abzalov MZ, Menzel B, Wlasenko M, Phillips J (2007) Grade control at the Yandi iron ore mine, Pilbara region, Western Australia: comparative study of the blastholes and RC holes sampling. In: Proceedings of the iron ore conference 2007. AusIMM, Melbourne, pp 37–43
Abzalov MZ, Menzel B, Wlasenko M, Phillips J (2010) Optimisation of the grade control procedures at the Yandi iron-ore mine, Western Australia: geostatistical approach. Appl Earth Sci 119(3):132–142
Bleines C, Bourges M, Deraisme J, Geffroy F, Jeanne N, Lemarchand O, Perseval S, Poisson J, Rambert F, Renard D, Touffait Y, Wagner L (2013) ISATIS software. Geovariances, Ecole des Mines de Paris, Paris
Buxton BE (1984) Estimation variance of global recoverable reserve estimates. In: Verly G et al (eds) Geostatistics for natural resources characterisation, Part 1. Reidel, Dordrecht, pp 165–183
Chiles J-P, Delfiner P (1999) Geostatistics: modelling spatial uncertainty. Wiley, New York, p 695
David M (1972) Grade-tonnage curve: use and misuse in ore-reserve estimation. Trans Inst Min Metall 81:A129–A132
David M (1988) Handbook of applied advanced geostatistical ore reserve estimation. Elsevier, Amsterdam, p 364
Demange C, Lajaunie C, Lantuejoul C, Rivoirard J (1987) Global recoverable reserves: testing various changes of support models on uranium data. In: Armstrong M (ed) Geostatistical case studies. Reidel, Dordrecht, pp 187–208
Goovaerts P (1997) Geostatistics for natural resources evaluation. Oxford University Press, New York, p 483
Isaaks EH, Srivastava RM (1989) An introduction to applied geostatistics. Oxford University Press, New York, p 561
Journel AG, Huijbregts CJ (1978) Mining geostatistics. Academic, New York, p 600
Lantuejoul C (1988) On the importance of choosing a change of support model for global reserves estimation. Math Geol 20(8):1001–1019
Marechal A (1984) Recovery estimation: a review of models and methods. In: Verly G (ed) Geostatistics for natural resources characterisation, Part 1. Reidel, Dordrecht, pp 385–420
Rivoirard J (1994) Introduction to disjunctive kriging and non-linear geostatistics. Oxford Press, Claredon, p 181
Rossi ME, Deutsch CV (2014) Mineral resource estimation. Springer, Berlin, p 332
Rossi ME, Parker HM (1994) Estimating recoverable reserves: is it hopeless? In: Dimitrakopoulos R (ed) Geostatistics for the next century. Kluwer, Dordrecht, pp 259–276
Wackernagel H (2003) Multivariate geostatistics: an introduction with applications, 3rd edn. Springer, Berlin, p 388
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Abzalov, M. (2016). Estimation of the Recoverable Resources. In: Applied Mining Geology. Modern Approaches in Solid Earth Sciences, vol 12. Springer, Cham. https://doi.org/10.1007/978-3-319-39264-6_22
Download citation
DOI: https://doi.org/10.1007/978-3-319-39264-6_22
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-39263-9
Online ISBN: 978-3-319-39264-6
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)