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ArticleName Impact of geological and technological factors on ore loss and dilution indicators based on muck modeling in open pit mine
DOI 10.17580/gzh.2021.07.08
ArticleAuthor Kabelko S. G., Rakhmanov R. A., Yanitsky E. B., Dunaev V. A.
ArticleAuthorData

VIOGEM JSC, Belgorod, Russia:

S. G. Kabelko, Leading Researcher, Candidate of Engineering Sciences,
E. B. Yanitsky, Deputy GEO in Research and Development, Candidate of Geographic Sciences, yanez@geomix.ru
V. A. Dunaev, Head of Department of Geology and Geoinformatics, Professor, Doctor of Geological and Mineralogical Sciences

Institute of Comprehensive Exploitation of Mineral Resources, Russian Academy of Sciences, Moscow, Russia:

R. A. Rakhmanov, Researcher, Candidate of Engineering Sciences

Abstract

The article presents a case-study of computer-aided modeling of muck in an open pit gold mine in order to evaluate ore losses and dilution under conditions of rock mass displacement induced by blasting with regard to different factors of geology and technology. The procedures of ore body outline displacement assessment and ore loss and dilution calculation are discussed in terms of a few blast blocks in an actually operating open pit mine. It is found that loss and dilution of ore can be reduced as a result of introduction of muck modeling and blasting pattern design and action control in mining. Rock mass displacements are nonlinear both horizontally and vertically, and depend on the blast block configuration, presence of a retaining wall, powder factor, as well as on the borehole structure and switching circuit.

keywords Losses and dilution, computer-aided muck model, blasted rock, electronic detonators, rock mass displacement, cuts, ore–rock interface, block model
References

1. Kabelco S. G., Dunaev V. A., Guerasimov A. V. Verification of computer technology of forecasting the collapse of blasted rock mass in open pits. Marksheideriya. Markshejderiya i nedoropolzovanie. 2016. Vol. 3(83), pp. 62–65.
2. Rakhmanov R. А., Loeb D., Kosukhin N. I. Estimation of ore contour movements after the blast using the BMM system. Journal of Mining Institute. 2020. Vol. 245. pp. 547–553. DOI: 10.31897/PMI.2020.5.6
3. Reduction in ore loss and dilution by actual measurement of ore body displacements during blasting. 2019. Available at: http://rosmining.ru/?review=%D1%83%D0%BC%D0%B5%D0%BD%D1%8C%D1%88%D0%B5%D0%BD%D0%B8%D0%B5-%D0%BF%D0%BE%D1%82%D0%B5%D1%80%D1%8C-%D0%B8-%D1%80%D0%B0%D0%B7%D1%83%D0%B1%D0%BE%D0%B6%D0%B8%D0%B2%D0%B0%D0%BD%D0%B8%D1%8F-%D0%B7%D0%B0 (accessed : 14.06.2021).
4. Thornton D. The implications of blast-induced movement to grade control. Proceedings of the 7th International Mining Geology Conference. 2009. pp. 147–154.
5. Yennamani A. L. Blast induced rock movement measurement for grade control at the Phoenix mine. Reno : University of Nevada, 2010.
6. Engmann E., Ako S., Bisiaux B., Rogers W., Kanchibotla, S. Measurement and modelling of blast movement to reduce ore losses and dilution at Ahafo Gold Mine in Ghana. Ghana Mining Journal. 2013. Vol. 14. pp. 27–36.
7. Eshun P. A., Dzigbordi, K. A. Control of ore loss and dilution at Anglogold Ashanti, Iduapriem mine using blast movement monitoring system. Ghana Mining Journal. 2016. Vol. 16. pp. 49–59.
8. Gilbride L. J. Blast-induced rock movement modelling for bench blasting in Nevada open-pit mines. Reno : University of Nevada, 1995
9. Harris G. W. Measurement of blast induced rock movement in surface mines using magnetic geophysics. Reno : University of Nevada, 1997.
10. Taylor D. L., Firth I. Utilization of blast movement measurements in grade control. Proceedings of the 31st International Symposium on Application of Computers and Operations Research in the Minerals Industries. May 14–16, 2003, Cape Town, South Africa. Johannesburg : The South African Institute of Mining and Metallurgy, 2003. pp. 244–247.
11. Flyagin A. S., Menshikov P. V., Shemenev V. G. Analysis of the values of the actual deceleration intervals of non-electric initiation systems. Problemy nedropolzovaniya. 2018. No. 2. pp. 70–74.
12. Raina A. K. Electronic detonators: the psychological edge. Journal of Mines, Metals & Fuels. 2015. Vol. 63, No 4, рp. 88–97.
13. Kabelko S. G., Dunaev V. A., Yanitskiy E. B., Rakhmanov R. A. Computer modeling of rock mass movement and estimation of ore dilution as a result of a mass blast during open-pit mining. Vzryvnoe delo. 2018. No. 120-77. pp. 94-108.
14. Fitzgerald M., York S., Cooke D., Thornton D. Blast Monitoring and Blast Translation – Case Study of a Grade Improvement Project at the Fimiston Pit, Kalgoorlie, Western. Eighth International Mining Geology Conference. Queenstown, New Zealand, 2011. pр. 285–297.
15. Hunt T. W, Thornton D. M. Modeling vs Monitoring Blast Movement: The cost of Variation. Proceedings of the 40th Annual Conference on Explosives and Blasting Technique. Denver, Colorado, USA, 2014.
16. Isaaks E., Barr R., Handayani O. Modelling blast movement for grade control. Proceedings of the 9th International Mining Geology Conference. 2014, pp. 433–440.
17. Cundall P. A. A computer model for simulating progressive, large-scale movement in blocky rock system. In The international symposium on rock mechanics. Proceedings of the International Symposium on Rock Mechanics. Nancy, France, 1971.
18. Preece D., Taylor L. (1989). Complete computer simulation of crater blasting including fragmentation and rock motion. Proceedings of Conference of Society of Explosive Engineers, Spring Research Meeting, New Orleans, LA, USA, 1989.
19. Preece D., Silling, S. A. Ore loss and dilution studies of surface mineral blasting with 3D distinct element heave models. Proceedings of the 42nd Annual Conference on Explosive and Blasting Technique, International Society of Explosives Engineers (ISEE), Las Vegas, NV, 2016.
20. Glossary of geology. Мoscow : Nedra, 1978. Vol. 2, 456 p.

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