Measuring and modelling of dry bulk rock density for mineral resource estimation

References

• Abzalov MZ. 2008. Quality control of assay data: a review of procedures for measuring and monitoring precision and accuracy Explor. Min. Geol., 17, (3–4), 1–14.
   Google Scholar
• Abzalov MZ. 2009. Use of twinned drill - holes in mineral resource estimation Explor. Min. Geol., 18, (1–4), 13–23.
   Google Scholar
• Abzalov MZ. 2011. Geostatistical approach for estimation sampling precision, Proc. 5th World Int. Sampling Conf., Santiago, Chile, October, 243–250.
   Google Scholar
• Abzalov MZ. 2012. Optimisation grade control procedures at the open pit mines considering samples quality, drill spacing and the project economics, Abstracts of 34th International Geological Congress 2012 (IGC 34), Brisbane, Australia, August, IGC.
   Google Scholar
• Abzalov MZ, Bower J. 2009. Optimisation of the drill grid at the Weipa bauxite deposit using conditional simulation, Proc. 7th Int. Min. Geol. Conf., 247–251, Melbourne, AusIMM.
   Google Scholar
• Abzalov MZ, Mazzoni P. 2004. The use of conditional simulation to assess process risk associated with grade variability at the Corridor Sands detrital ilmenite deposit, in Ore body modelling and strategic mine planning: uncertainty and risk management, (ed. , Dimitrakopoulus R, Ramazan S), 93–101, Melbourne, AusIMM.
   Google Scholar
• Abzalov MZ, Dumouchel J, Bourque Y, Hees F, Ware C. 2011. Drilling techniques for estimation resources of the mineral sand deposits, Proc. Heavy Miner. Conf., 27–39, Melbourne, AusIMM.
   Google Scholar
• 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. (Trans. Inst. Min. Metall. B), 119, (3), 132–142.
   Google Scholar
• Annels AE. 1991. Mineral deposit evaluation, a practical approach, London, Chapman and Hall.
   Google Scholar
• Arik A. 2002. Comparison of resource classification methodologies with a new approach, Proc.30th APCOM Symp., (ed. , Bandopadhyay S), Phoenix, AZ, Society for Mining and Metallurgy.
   Google Scholar
• AS1289.5.3.1-2004. Australian standard, Methods of testing soils for engineering purposes. Method 5.3.1: Soils compaction and density tests – Determination of the field density of a soil – Sand replacement method using a sand-cone pouring apparatus, Standards Australia International, Sydney, Australia
   Google Scholar
• AS2891.9.1-2005. Australian standard, Methods of sampling and testing asphalt. Method 9.1: Determination of bulk density of compacted asphalt – Waxing procedur,. Standards Australia Ltd, Sydney, Australia.
   Google Scholar
• ASTM D6752-09. Standard test method for bulk specific gravity and density of compacted bituminous mixtures using automatic vacuum sealing method, ASTM International, West Conshohocken, PA, USA.
   Google Scholar
• Bevan PA. 1994. The weighting of assays and the importance of both grade and specific gravity, CIM Bulletin, 86, (970), 88–90.
   Google Scholar
• Blackwell G. 1998. Relative kriging errors – a basis for mineral resource classification Explor. Min. Geol., 7, (1–2), 99–105.
   Web of Science ®Google Scholar
• Chiles J-P, Delfiner P. 1999. Geostatistics: modelling spatial uncertainty, New York, John Wiley and Sons.
   Google Scholar
• David M. 1988. Handbook of applied advanced geostatistical ore reserve estimation, Amsterdam, Elsevier.
   Google Scholar
• Diehl P, David M. 1982. Classification of ore reserves/resources based on geostatistical methods, CIM Bulletin, 75, (838), 127–135.
   Google Scholar
• Goovaerts P. 1997. Geostatistics for natural resources evaluation, New York, Oxford, Oxford University Press.
   Google Scholar
• Journel AG, Huijbregts CJ. 1978. Mining geostatistics, New York, Academic Press.
   Google Scholar
• Lipton IT. 2000. Modelling bulk density – the importance of getting it right, Proc. 4th Int. Min. Geol. Conf., 291–297, Melbourne, AusIMM.
   Google Scholar
• Lipton IT. 2001. Measurement of bulk density for resource estimation, in Mineral resource and ore reserve estimation – the AusIMM guide to good practice, (ed. , Edwards A C), 57–66, Melbourne, The Australasian Institute of Mining and Metallurgy.
   Google Scholar
• Matheron G. 1963. Principles of geostatistics Econ. Geol., 58, 1246–1266.
   Google Scholar
• Olea R A (ed.) 1991. Geostatistical glossary and multilingual dictionary, New York, Oxford, Oxford University Press.
   Google Scholar
• Royle AG. 1977. How to use geostatistics for ore reserve classification World Min., February, 52–56.
   Google Scholar