Importance of good sampling practice throughout the gold mine value chain

References

• Abzalov, M. Z. 2008. Quality control of assay data: a review of procedures for measuring and monitoring precision and accuracy, Exploration and Mining Geology, 17, 131–144.
   Google Scholar
• Afewu, K. I. and Lewis, G. O. 1998. Sampling a run-of-mine mill feed – a practical approach, Journal of the Southern African Institute of Mining and Metallurgy, 98, 299–304.
   Web of Science ®Google Scholar
• Annels, A. E. and Dominy, S. C. 2003. Core recovery and quality: important factors in mineral resource estimation, Applied Earth Sciences Transactions of the Institutions of Mining and Metallurgy, 112, 305–311.
   Google Scholar
• Bazin, C., Hodouin, D. and Blondin, R. M. 2013. Estimation of the variance of the fundamental error associated to the sampling of low grade ores, International Journal of Mineral Processing, 124, 117–123.
   Web of Science ®Google Scholar
• Carrasco, P. C. 2009. Nugget effect – artificial or natural?Proceedings of World Conference on Sampling and Blending, 211–217, Johannesburg, Southern African Institute of Mining and Metallurgy.
   Google Scholar
• Carrasco, P. C., Carrasco, P. and Jara, E. 2004. The economic impact of incorrect sampling and analysis practices in the copper mining industry, Chemometrics and Intelligent Laboratory Systems, 74, 209–214.
   Web of Science ®Google Scholar
• Chieregati, A. C., El Hajj, T. M., Imoto, C. F. and Pignatari, L. E. C. 2015. Validation of reverse circulation drilling rig for reconciliation purposes, TOS Forum, 5, 105–110.
   Google Scholar
• Cintra, E. C., Scabora, J. A., Viegas, E. P., Barata, R. and Maia, G. F. 2007. Coarse gold sampling at Sao Francisco mine, Brazil, in Proceedings of World Conference on Sampling and Blending, 187–197, Porto Alegro, Fundacao Luiz Englert.
   Google Scholar
• Clark, F. and Carswell, J. T. 2014. Using RC drilling to improve sampling in a complex underground gold operation – approach to underground grade control at the Sunrise Dam mine, WA, in Proceedings of International Mining Geology Conference, 143–152, Melbourne, Australasian Institute of Mining and Metallurgy.
   Google Scholar
• Cossio, S., Noyola, J. -L., Gonzalez, P. and Espinosa, R. 2004. Sampling and assaying of coarse gold at La Herradura, Mexico, CIM Bulletin, 1084, 1–5.
   Google Scholar
• Dominy, S. C. 2010. Grab sampling for underground gold mine grade control, Journal of the Southern African Institute of Mining and Metallurgy, 110, (2010), 277–287.
   Google Scholar
• Dominy, S. C. and Petersen, J. S. 2005. Sampling coarse gold-bearing mineralisation – developing effective protocols and a case study from the Nalunaq mine, southern Greenland, in Proceedings of World Conference on Sampling and Blending, 151–165, Melbourne, Australasian Institute of Mining and Metallurgy.
   Google Scholar
• Dominy, S. C. 2014a. Predicting the unpredictable – evaluating high-nugget effect gold deposits, in Mineral resource and ore reserve estimation, 659–678, Melbourne, Australasian Institute of Mining and Metallurgy.
   Google Scholar
• Dominy, S. C. 2014b. Effects of sample mass on gravity recoverable gold test results in low grade ores, Applied Earth Sciences Transactions of the Institutions of Mining and Metallurgy, 123, 234–242.
   Google Scholar
• Dominy, S. C. and Platten, I. M. 2007. Gold particle clustering – a new consideration in sampling applications, Applied Earth Sciences Transactions of the Institutions of Mining and Metallurgy, 116, 130–142.
   Google Scholar
• Dominy, S. C. and Xie, Y. 2016. Optimising sampling protocols via the heterogeneity test: challenges in coarse gold mineralisation, Mining Technology Transactions of the Institutions of Mining and Metallurgy, in pressX.
   Google Scholar
• Dominy, S. C., Johansen, G. F., Annels, A. E. and Cuffley, B. W. 2000. General considerations of sampling and assaying in a coarse gold environment, Applied Earth Sciences Transactions of the Institutions of Mining and Metallurgy, 109, 145–167.
   Google Scholar
• Dominy, S. C., Noppé, M. A. and Annels, A. E. 2004. Errors and uncertainty in mineral resource and ore reserve estimation: the importance of getting it right, Exploration and Mining Geology, 11, 77–98.
   Google Scholar
• Dominy, S. C., Platten, I. M., Howard, L. E., Bell, R-M., Xie, Y. and Minnitt, R. C. A. 2012. Determination of the sampling liberation diameter in a high-grade coarse gold ore by high-resolution X-ray computed tomography, in Proceedings of Sampling Conference, 161–169, Melbourne, Australasian Institute of Mining and Metallurgy.
   Google Scholar
• Dominy, S. C., Platten, I. M., Xie, Y. and Minnitt, R. C. A. 2011. Underground grade control protocol design: case study from the Liphichi gold project, Larecaja, Bolivia, Applied Earth Sciences Transactions of the Institutions of Mining and Metallurgy, 119, 205–219.
   Google Scholar
• Dominy, S. C., Xie, Y. and Platten, I. M. 2008. Gold particle characteristics in narrow vein deposits: implications for evaluation and metallurgy, in Proceedings of Narrow Vein Mining Conference, 91–104, Melbourne, Australasian Institute of Mining and Metallurgy.
   Google Scholar
• DS3077. 2013. Representative sampling – horizontal standard, Copenhagen, Danish Standards Foundation.
   Google Scholar
• Esbensen, K. H. and Paasch-Mortensen, P. 2010. Process sampling: theory of sampling – the missing link in process analytical technologies, in process analytical technology. 37–80, Chichester, Wiley.
   Google Scholar
• Fallon, M., Rowley, M., Du Plessis, E., Golenya, F., Robertson, I. and Swanson, R. 2012. Confirming the sampling, sample preparation and assaying protocols used at two Yilgarn gold deposits, in Proceedings of Sampling Conference, 47–62, Melbourne, Australasian Institute of Mining and Metallurgy.
   Google Scholar
• François-Bongarçon, D. M. 1993. The practice of the sampling theory of broken ores, CIM Bulletin, 86, 75–81.
   Google Scholar
• François-Bongarçon, D. M. 1998. Extensions to the demonstration of Gy's formula, Exploration and Mining Geology, 7, 149–154.
   Web of Science ®Google Scholar
• François-Bongarçon, D. M. 2004. Theory of sampling and geostatistics: an intimate link, Chemometrics and Intelligent Laboratory Systems, 74, 143–148.
   Web of Science ®Google Scholar
• François-Bongarçon, D. M. 2008. A brief history of Pierre Gy's sampling theory and current trends in its acceptance in the mining world, in Proceedings of Sampling Conference, 13–14, Melbourne, Australasian Institute of Mining and Metallurgy.
   Google Scholar
• François-Bongarçon, D. M. 2014. State of affairs and current research trends in theory of sampling fundamentals, including segregation and correctness, in Proceedings of Sampling Conference, 11–15, Melbourne, Australasian Institute of Mining and Metallurgy.
   Google Scholar
• François-Bongarçon, D. M. 2015. Future challenges and research: theory of sampling (TOS), TOS Forum, 3, 4–5.
   Google Scholar
• François-Bongarçon, D. M. and Gy, P. M. 2002. The most common error in applying Gy's formula in the theory of mineral sampling and the history of the liberation factor, Journal of the Southern African Institute of Mining and Metallurgy, 102, 475–479.
   Web of Science ®Google Scholar
• Geelhoed, B. 2011. Is Gy's formula for the fundamental sampling error accurate?, Experimental evidence, Minerals Engineering, 24, 169–173.
   Web of Science ®Google Scholar
• Giblett, A., Dunne, R. and McCaffery, K. 2012. Defining practical metallurgical accounting discrepancy limits for gold operations, in Proceedings of Mill Operators Conference, 3–9, Melbourne, Australasian Institute of Mining and Metallurgy.
   Google Scholar
• Gonzales, P. and Cossio, S. 2007. A review of sampling protocol for a gold ore based on liberation study, in Proceedings of World Conference on Sampling and Blending, 163–174, Porto Alegre, Fundacao Luiz Englert.
   Google Scholar
• Guresin, N., Lorenzen, L., Dominy, S. C., Muller, H. and Cooper, A. 2012. Importance of effective sampling and test work protocols for process plant design, in Proceedings of Sampling Conference, 95–107, Melbourne, Australasian Institute of Mining and Metallurgy.
   Google Scholar
• Gy, P. M. 1982. Sampling of particulate materials, Amsterdam, Elsevier.
   Google Scholar
• Gy, P. M. 2004. Sampling of discrete minerals – a new introduction to the theory of sampling I: qualitative approach, Chemometrics and Intelligent Laboratory Systems, 74, 7–24.
   Web of Science ®Google Scholar
• Holmes, R. J. 2004. Correct sampling and measurement – the foundation of metallurgical accounting, Chemometrics and Intelligent Laboratory Systems, 74, 71–83.
   Web of Science ®Google Scholar
• Holmes, R. J. 2015. Sample station design and operation, TOS Forum, 5, 119–128.
   Google Scholar
• JORC. 2012. Australasian code for reporting of exploration results, mineral resources and ore reserves, the JORC code. Joint Ore Reserves Committee of the Australasian Institute of Mining and Metallurgy, Australian Institute of Geoscientists and Minerals Council of Australia.
   Google Scholar
• Lyman, G. J. and Schouwstra, R. 2011. Use of scanning electron microscope to determine the sampling constant and liberation factor for fine materials, in Proceedings of World Conference on Sampling and Blending, 89–103, Santiago, Gecamin.
   Google Scholar
• Magri, E. J. 2007. Some experiences in heterogeneity tests and mine sampling, in Proceedings of World Conference on Sampling and Blending, 329–348, Porto Alegre, Fundacao Luiz Englert.
   Google Scholar
• Minnitt, R. C. A. 2007. Sampling: the impact on costs and decision making, Journal of the Southern African Institute of Mining and Metallurgy, 107, 451–462.
   Web of Science ®Google Scholar
• Minnitt, R. C. A. 2013. Sampling in the South African minerals industry, in Proceedings of Sampling and Analysis Conference, 1–28, Johannesburg, Southern African Institute of Mining and Metallurgy.
   Google Scholar
• Minnitt, R. C. A. and Assibey-Bonsu, W. 2010. A comparison between the duplicate series method and the heterogeneity test as methods for calculating the sampling constants, Journal of the Southern African Institute of Mining and Metallurgy, 110, 251–268.
   Web of Science ®Google Scholar
• Minnitt, R. C. A., Rice, P. M. and Spangenbeg, C. 2007. Part 2: experimental calibration of sampling parameters K and alpha for Gy's formula by the sampling tree method, Journal of the Southern African Institute of Mining and Metallurgy, 107, 513–518.
   Web of Science ®Google Scholar
• Morrison, R. and Powell, M. 2006. Design for sampling – preliminary exploration, Journal of the Southern African Institute of Mining and Metallurgy, 106, 697–706.
   Web of Science ®Google Scholar
• Petersen, L., Dahl, C. K. and Esbensen, K. H. 2004. Representative mass reduction in sampling – a critical survey of techniques and hardware, Chemometrics and Intelligent Laboratory Systems, 74, 95–114.
   Web of Science ®Google Scholar
• Pitard, F. F. 1993. Pierre Gy's sampling theory and sampling practice, Boca Raton, CRC Press.
   Google Scholar
• Pitard, F. F. 2004. Effects of residual variances on the estimation of the variance of the fundamental error, Chemometrics and Intelligent Laboratory Systems, 74, 149–164.
   Google Scholar
• Pitard, F. F. 2007. The in-situ nugget effect: a major component of the random term of a variogram, in Proceedings of World Conference on Sampling and Blending, 91–110, Porto Alegre, Fundacao Luiz Englert.
   Google Scholar
• Pitard, F. F. 2008. Blasthole sampling for grade control – the many problems and solutions, in Proceedings of Sampling Conference, 15–21, Melbourne, Australasian Institute of Mining and Metallurgy.
   Google Scholar
• Pitard, F. F. 2009. Pierre Gy's theory of sampling and C.O. ingamells poisson process approach: pathways to representative sampling and appropriate industry standards. Doctoral Thesis, Esberg, Aalborg University.
   Google Scholar
• Pitard, F. F. 2013. Guidelines for acceptable allotted sampling uncertainty, in Proceedings of World Conference on Sampling and Blending, 89–98, Santiago, Gecamin.
   Google Scholar
• Pitard, F. F. 2015. The advantages and pitfalls of conventional heterogeneity tests and a suggest alternative, TOS Forum, 5, 13–18.
   Google Scholar
• Pitard, F. F. and François-Bongarçon, D. M. 2011. Demystifying the fundamental and grouping and segregation error for practitioners, in Proceedings of World Conference on Sampling and Blending, 39–55, Santiago, Gecamin.
   Google Scholar
• Pitard, F. F. and Lyman, G. 2013. Single and multi-stage Poisson processes: a case study for gold exploration, in Proceedings of World Conference on Sampling and Blending, 371–385, Santiago, Gecamin.
   Google Scholar
• Pitard, F. F., Esbensen, K. H. and Paoletti, C. 2015. TOS: progress through continuity and community, TOS Forum, 4, 25–27.
   Google Scholar
• Platten, I. M. and Dominy, S. C. 2003. The occurrence of high-grade gold pockets in quartz reefs at the Gwynfynydd mine, Wales, United Kingdom: a geological explanation of the nugget effect, Exploration and Mining Geology, 10, 249–272.
   Google Scholar
• Royle, A. G. 1989. Splitting gold assay pulps containing coarse gold particles, Leeds University Mining Association Journal, 63–68.
   Google Scholar
• Royle, A. G. 1991. Safe sampling formulae for gold deposits, Mining Technology Transactions of the Institutions of Mining and Metallurgy, 100, 84–86.
   Google Scholar
• Simon, A. and Gosson, G. 2010. Considerations on QAQC and sampling security, in Proceedings of Sampling Conference, 135–140, Melbourne, Australasian Institute of Mining and Metallurgy.
   Google Scholar
• Sketchley, D. A. 1998. Gold deposits: establishing sampling protocols and monitoring quality control, Exploration and Mining Geology, 7, 129–138.
   Web of Science ®Google Scholar
• Spangenberg, C. 2011. The status of sampling practice in the gold mining industry of Africa, in Proceedings of World Conference on Sampling and Blending, 105–112, Santiago, Gecamin.
   Google Scholar
• Vallée, M. A. 1998. Sampling quality control, Exploration and Mining Geology, 7, 107–116.
   Web of Science ®Google Scholar