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Long-term planning for open pits for mining sulphide-oxide ores in order to achieve maximum profit

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Warianty tytułu
PL
Planowanie długoterminowe wydobycia rudy siarczkowej w kopalniach odkrywkowych w celu uzyskania maksymalnego poziomu zysków
Języki publikacji
EN
Abstrakty
EN
Profitable exploitation of mineralised material from the earth’s crust is a complex and difficult task that depends on a comprehensive planning process. Answering the question of how to plan production depends on the geometry of the deposit, as well as the concentration, distribution, and type of minerals in it. The complex nature of mineral deposits largely determines the method of exploitation and profitability of mining operations. In addition to unit operating costs and metal prices, the optimal recovery of and achievement of maximum profit from deposits of sulphide-oxide ores also depend, to a significant extent, on the level of technological recovery achieved in the ore processing procedure. Therefore, in defining a long-term development strategy for open pits, special attention must be paid to the selection of an optimal procedure for ore processing in order to achieve the main objective: maximising the Net Present Value (NPV). The effect of using two different processes, flotation processing and hydrometallurgical methods (bioleaching acid leaching), on determining the ultimate pit is shown in the case of the Kraku Bugaresku-Cementacija sulphide-oxide ore deposit in eastern Serbia. Analysis shows that the application of hydrometallurgical methods of processing sulphide-oxide ore achieved an increase in NPV of 20.42%.
PL
Przynosząca zyski eksploatacja kopalin wydobywanych ze skorupy ziemskiej jest zadaniem złożonym i trudnym, wymagającym całościowego planowania. Aby określić w jaki sposób zaplanować prace wydobywcze, należy uwzględnić geometrię złoża, a także rozkład, koncentrację i rodzaj zawartych w złożu minerałów. Złożony charakter złóż minerałów w dużej mierze determinuje wybór metod wydobycia oraz poziom zysków. Obok jednostkowych kosztów produkcji oraz cen metali, optymalna eksploatacja złóż rud siarczkowych i osiągniecie maksymalnych zysków w dużej mierze zależą także od zastosowanych technologii uzyskiwania metalu z rud. Przy definiowaniu długoterminowej strategii wydobycia rud w kopalni odkrywkowej uwzględnić także należy wybór optymalnej metody obróbki rud w celu uzyskania założonego celu: maksymalizacji wartości bieżącej netto (NPV – Net Present Value). Wykorzystanie dwóch procesów: flotacji oraz metod hydro-metalurgicznych (bio-wypłukiwanie, ługowanie) przedstawiono dla rozważanego przypadku kopalni odkrywkowej rudy siarczkowej eksploatującej złoże w regionie Kraku-Bugaresku-Cementacija we wschodniej Serbii. Analizy wskazały, że zastosowanie metod hydro-metalurgicznych zapewnia wzrost wartości bieżącej netto o 20.42%.
Rocznik
Strony
807--824
Opis fizyczny
Bibliogr. 33 poz., rys., tab., wykr.
Twórcy
autor
  • Mining and Metallurgy Institute Bor, Zeleni Bulevar 35, 19210 Bor, Serbia
autor
  • Mining and Metallurgy Institute Bor, Zeleni Bulevar 35, 19210 Bor, Serbia
  • University of Belgrade, Faculty of Mining and Geology, Djusina 7, 11000 Belgrade, Serbia
autor
  • University of Belgrade, Faculty of Mining and Geology, Djusina 7, 11000 Belgrade, Serbia
  • Mining and Metallurgy Institute Bor, Zeleni Bulevar 35, 19210 Bor, Serbia
Bibliografia
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  • [3] Caccetta L., 2007. Application of optimisation techniques in open pit mining, Handbook of Operations Research in Natural Resources, Volume 99 of the series International Series in Operations Research amp; Mana pp. 547-559.
  • [4] Caccetta L., Hill S.P., 2003. An Application of Branch and Cut to Open Pit Mine Scheduling. Journal of Global Optimization, vol. 27, pp. 349-365.
  • [5] Conić V., 2015. Biotechnology for treatment of complex sulphide concentrate. Doctoral dissertation, (in Serbian), University of Belgrade - Technical Faculty in Bor.
  • [6] Cvetkovski V., Conić V., Vuković M., Stojanovski G., Cvetkovska M., 2009. Construction of Isotherms in the Solvent Copper Extraction. Hemijska industrija 63 (4), pp. 309-312 [in Serbian].
  • [7] David M., 1973. Tools for planning: Variances and conditional simulation. J.R. Sturgul (Ed.) 11th APCOM University of Arizona, pp. D10-D23.
  • [8] David M., Dowd P.A., Korobov S., 1974. Forecasting departure from planning in open pit design and grade control. 12th APCOM Symposium Colorado School of Mines, pp. F131-F153.
  • [9] Davis G., Newman A., 2008. Modern Strategic Mine Planning. http://inside.mines.edu/~gdavis/Papers/CRC_Mining_Conference_Paper.pdf.
  • [10] Dimitrakopoulos R., 2006. Conditional simulation algorithms for modelling orebody uncertainty in open pit optimization. Int. J. Min. Reclamation Environ., vol. 12, pp. 173-179.
  • [11] Fan Z.C., Wang J.M., Hao Q.M., 2003. Optimising Open Pit Mine Production Scheduling by Graph Theory, Mine Planning and Equipment Selection. Kalgoorlie, WA, 23-25 April, pp. 447-454, http://www.ausimm.com.au/publications/epublication.aspx?ID=795.
  • [12] Fouillac C., 2006. BioMinE project, Contract No. 500329, BRGM.
  • [13] Gericke M., Conić V., Cvetkovski V., Milanović D., Vuković M., Milanović S., 2008. Bioleaching of the Majdanpek and V. Krivelj concentrates. IOC on Mining and Metallurgy, Sokobanja, pp. 256-262.
  • [14] Gericke M., Muller H.H., Staden P.J., Pinches A., 2008. Development of a tank bioleaching process for the treatment of complex Cu-polymetallic concentrates. Hydrometallurgy, 94, pp. 23-28.
  • [15] Davis G.A., Newman A.M., 2008. Modern Strategic Mine Planning, Colorado School of Mines, http://inside.mines.edu/~gdavis/Papers/CRC_Mining_Conference_Paper.pdf.
  • [16] Johnson T.B., 1969. Optimum production scheduling. Proceedings of 8th APCOM symp., Salt Lake City, Utah, pp. 539-562.
  • [17] Journel A., Kyriakidis P.C., 2004. Evaluation of mineral reserves: A simulation approach. Oxford University Press, p. 215.
  • [18] Kržanović D., Kolonja B., Stevanović D., 2015. Maximizing the net present value by applying an optimal cut-off grade for long-term planning of the copper open pits. Acta Montanistica Slovaca, The Union of Metallurgy, Mining Industry and Geology of Slovak Republic, the Slovak Mining Society, the Faculty of Mining, Ecology, Process Control and Geotechnologies (FBERG) of the Technical University of Kosice (Slovakia), and the Faculty of Mining and Geology (HGF) of the VSB Technical University of Ostrava (Czech Republic), Vol. 20 (2015), nu. 1, pp. 49-61, http://actamont.tuke.sk/ams2015.html.
  • [19] Kržanović D., Rajković R., Mikić M., Ljubojev M., 2014. Effect of stage development of mining operations on maximization of the net present value in long-term planning of open pits. Mining and Metallurgy Engineering Bor, 4/2014, Mining and Metallurgy Institute Bor, DOI:10.5937/MMEB1404033K, pp. 33-40.
  • [20] Lerchs H., Grossmann I.F., 1965. Optimum Design of Open Pit Mines. Transactions, Canadian Institute of Mining and Metallurgy, Vol. LXVIII, pp. 17-24.
  • [21] Nelson S., Rolf F., Pierre P., Alejandro V., Los B., 2008. Development Project. The Southern African Institute of Mining and Metallurgy Surface Mining, pp. 79-92.
  • [22] Ramazan S., Dimitrakopoulos R., 2004a. Recent application of operation research and efficient MIP formulation in open-pit mining. Society for Mining Metallurgy and Exploration. Transactions, 316, pp. 73-78.
  • [23] Ramazan S., Dimitrakopoulos R., 2004b. Traditional and New MIP Models for Production Scheduling with In-Situ Grade Variability. International Journal of Surface Mining, Vol. 18, pp. 85-98.
  • [24] Robertson S., Neale J., Muller H., Gericke M., 2008. Deliverable: DIV8A BioMinE - FP6 Project IP NMP2-CT-2005-500329, report entitled Cu & Cu polymetallics: report on piloting operation and pre-feasibility study for RTB Bor copper concentrates, pp. 1-55.
  • [25] Robertson S.W., Vercuil A., Van Staden P.J, Craven P., 2005. A bacterial heap leaching approach for the treatment of low grade primary copper sulphide ore. The Third Southern African Conference on Base Metals, South Africa, pp. 471-484. Source: Mining and Smelting Complex Bor - Group, 2015.
  • [26] Sturgul J.R., Li Z., 1997. New developments in simulation technology and applications in the minerals industry. Int. J. Mining Reclamation Environ, vol. 11, pp. 159-162.
  • [27] Swart R., Cramer K., Castro O., Tasker P., Forgan R., 2007. Evolution of copper solvent extraction reagents. Hydrocopper, IV International Cooper Hydrometallurgy Workshop, Viña del Mar, Chile, pp. 41-47.
  • [28] Tinkler O., Shiels D., Soderstrom M., 2009. The ACORGA® OPT series: comparative studies against aldoxime: ketoxime reagents. Hydrometallurgy Conference, The Southern African Institute of Mining and Metallurgy, pp. 272-282.
  • [29] Tolwinsky, B., Underwood R., 1996. A scheduling algorithm for open pit mines. IMA J. Manage. Math., vol. 7, pp. 247-270.
  • [30] Vučetic J., Vrvić M., Vujović B., 1978. The Use of Tiobacteria Isolated from Tailing Dump and Waste Water in Bor for Leaching the Bor Tailings. Faculty of Mining and Metallurgy and Copper Institute Bor, Proceedings, p. 157 (in Serbian).
  • [31] Watling H.R., 2006. The bioleaching of sulphide minerals with emphasis on copper sulphides A review. Hydrometallurgy, 84, pp. 81-108.
  • [32] Whittle J., 1999. A decade of open pit mine planning and optimization The craft of turning algorithms into packages. Proceedings of the 28th APCOM symposium, Golden, Colorado School of Mines, pp. 15-24.
  • [33] Whittle User’s Guide, 2014. Geovia, Dassault Systèmes.
Uwagi
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d45df55a-61d6-4a45-9d65-855796ea9711
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