Abstract
This paper provides a write-up of the first Professor Danie Krige memorial lecture in 2014, which was organised by the University of the Witwatersrand in collaboration with the Southern African Institute of Mining and Metallurgy (SAIMM) and the Geostatistical Association of Southern Africa, where his wife Mrs Ansie Krige, the SAIMM and Professor R.C.A. Minnitt also spoke. The memorial lecture was presented by his previous PhD graduate student, Dr Winfred Assibey-Bonsu.
During that inaugural memorial lecture, the SAIMM highlighted three activities that the institute would hold going forward, so as to remember this great South African mining pioneer:
-
The publication of a Danie Krige Commemorative Volume of the SAIMM Journal
-
An annual Danie Krige Memorial Lecture to be facilitated by the School of Mining Engineering of the University of the Witwatersrand
-
The annual award of a Danie Krige medal
What follows is both a tribute to his work and a testimony to the great man’s deep personal integrity, belief in family, humility and faith in Christ, all of which led him to become not only a giant in the South African mining industry but indeed worldwide.
The paper was first published by the Southern African Institute of Mining and Metallurgy during the Danie Krige Geostatistical Conference, Johannesburg, 2015.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Bibliography
Annual Report (2007) Gold fields limited 2007 annual report. p. 18. 30th June 2007
Assibey-Bonsu W, Krige DG (1999) Use of direct and indirect distributions of selective mining units for estimation of recoverable resource/reserves for new mining projects. APCOM’99 International Symposium, Colorado School of Mines, Golden, October 1999
Assibey-Bonsu W, Muller C (2014) Limitations in accepting localised conditioning recoverable resource estimates for medium term, long-term, and feasibility-stage mining projects, particularly for sections of an ore deposit. J South Afr Inst Min Metall 114:619–624
Bouw B (2011) Newmont to acquire Fronteer Gold in $2.3-billion deal. The Globe and Mail. 3rd Feb 2011
David M (1977) Geostatistical ore reserve estimation. Elsevier Scientific Publishing Co, Amsterdam
De Wijs HJ (1951/1953) Statistical ore distribution. Geologie en Mijnbouw. November 1951, January 1953
Hill L (2013) Barrick to suspend work on Pascua-Lama to conserve cash. Bloomberg. 31 Oct 2013
Jamasmie C (2014) Argentina lobbies to overturn Barrick’s Pascua Lama freeze in Chile. www.mining.com. 15th Feb 2013.
Journel AG, Kyriadkidis PC, Mao S (2000) Correcting the smoothing effect of estimators: a spectral postprocessor. Math Geol 32(7):787–813, October 2000
Krige DG (1951) A statistical approach to some basic mine valuation problems on the Witwatersrand. J Chem Metall Min Soc S Afr 52:119–139
Krige DG (1952) A statistical analysis of some of the borehole values in the Orange Free State goldfield. J Chem Metall Min Soc S Afr 53:47–64
Krige DG (1955) Travaux de M.D.G.KRIGE sur l’evaluation des gisements dans les mines d’or sudafricaines. Annales des Mines. December 1955
Krige DG (1960) On the departure of ore value distributions from the lognormal model in South African gold mines. J S Afr Inst Min Metall 61:231–244
Krige DG (1966) Two-dimensional weighted moving average trend surfaces for ore valuations. Proc. Symp. on Math. Stats. and Comp. Appls. In Ore Valn. pp 13–38. S Afr Inst Min Metall
Krige DG (1978) Lognormal-de Wijsian geostatistics for ore valuation. S Afr Inst Min Metall. Monograph No. 1. 1978
Krige DG (1996) A practical analysis of the effects of spatial structure and data available and used, on conditional biases in ordinary kriging. 5th Int. Geostatistics Congress, Wollongong. 1996
Krige DG, Ueckermann HJ (1963) Value contours and improved regression techniques for ore reserve valuations. JSAfr Inst Min Metall 63:429–452
McCrae MA (2013) The worst mining deal ever: Rio Tinto buying Alcan for US$ 38.1 billion. www.mining.com. 15th Feb 2013
Minnitt RCA (2012) Thoughts from an interview Professor D. Krige gave to Professor R.C.A. Minnitt during 2012. Personal correspondence
News.com.au (2012) BHP Billiton’s decision won’t be covered by tax hike says SA Premier Jay Weatherill. www.news.com.au/finance/business/. 23rd Aug 2012
Ross FWJ (1950) The development of some practical applications of statistical value distribution theory for the Witwatersrand auriferous deposits. MSc (Eng.) thesis, University of the Witwatersrand, Johannesburg
Sichel HS (1947) An experimental and theoretical investigation of bias error in mine sampling with special reference to narrow gold reefs. Trans Inst Min Metall Lond 56:403–473
Sichel HS (1952) New methods in the statistical evaluation of mine sampling data. Bull Inst Min Metall Lond 61:261–288
Sichel HS, Kleingeld WJ, Assibey-Bonsu W (1992) A comparative study of the frequency distribution models for use in ore valuation. J S Afr Inst Min Metall. April. pp 91–99. 1992
Trustcott SJ (1929) The computation of the probable value of ore reserves from assay results. Trans Inst Min Metall Lond 39:482–496
Watermeyer GA (1919) Application of the theory of probability in the determination of ore reserves. J Chem Metall Min Soc S Afr 19:97–107
Acknowledgements
The author wishes to thank Gold Fields Limited for the support and time it has allowed in collating and presenting this paper.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this chapter
Cite this chapter
Assibey-Bonsu, W. (2017). Professor Danie Krige’s First Memorial Lecture: The Basic Tenets of Evaluating the Mineral Resource Assets of Mining Companies, as Observed in Professor Danie Krige’s Pioneering Work Over Half a Century. In: Gómez-Hernández, J., Rodrigo-Ilarri, J., Rodrigo-Clavero, M., Cassiraga, E., Vargas-Guzmán, J. (eds) Geostatistics Valencia 2016. Quantitative Geology and Geostatistics, vol 19. Springer, Cham. https://doi.org/10.1007/978-3-319-46819-8_1
Download citation
DOI: https://doi.org/10.1007/978-3-319-46819-8_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-46818-1
Online ISBN: 978-3-319-46819-8
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)