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Evaluation Method in Multiple Scenarios by Means of Datamine Applying the Law of Variable Cutting in Optimization of the NPV in Open Pit

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Advances in Manufacturing, Production Management and Process Control (AHFE 2021)

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Abstract

This research is proposed to better detail the economic information that is handled and is necessary for the evaluation of a mining project, and in turn to reduce the uncertainty that exists regarding the economic results that the mining operation will obtain. In the same way, it is expected to optimize the extraction process and consequently increase the income generated in the operation, this will be evaluated with the economic measurement tool: net present value (NPV). The research will be developed through the use of mining software such as Datamine OP and NPV Scheduler, in which simulations of the various scenarios will be carried out where the cutoff grade will be the main variable to modify in order to verify the increase in the VPN in the mining operation.

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References

  1. Zhang, K., Olawoyin, R., Nieto, A., Kleit, A.N.: Risk of commodity price, production cost and time to build in resource economics. Environ. Dev. Sustain. 20(6), 2521–2544 (2017). https://doi.org/10.1007/s10668-017-0003-0

    Article  Google Scholar 

  2. Kržanović, D., Kolonja, B., Stevanović, D.: Maximizing the net present value by applying an optimal cut-off grade for long-term planning of the copper open pits. Acta Montanistica Slovaca 20(1), 49–61 (2015). https://doi.org/10.3390/ams20010049

    Article  Google Scholar 

  3. Eggert, R.G.: Staking a claim for cambodia. mineral exploration and development: risk and reward, May 2010, pp. 1–16 (2010)

    Google Scholar 

  4. Esmaeil, R., Ehsan, M., Reza, S., Mehran, G.: Optimized algorithm in mine production planning, mined material destination, and ultimate pit limit. J. Cent. South Univ. 25(6), 1475–1488 (2018). https://doi.org/10.1007/s11771-018-3841-5

    Article  Google Scholar 

  5. Navia-vásquez, C., Monsalve-hinestroza, M.C., Franco-sepúlveda, G.: NPV analysis as a function of the discount rate and cost of re- handling implementing SIMSCHED DBS to open pit mining. Análisis del VPN en función de la tasa de descuento y el costo de remanejo implementando SIMSCHED DBS para una explotación minera a cie 41, 81–86 (2017)

    Google Scholar 

  6. Hosseini, S.A., Asghari, O., Emery, X.: Direct block-support simulation of grades in multi-element deposits: application to recoverable mineral resource estimation at Sungun porphyry copper-molybdenum deposit. J. Southern Afr. Inst. Min. Metall. 117(6), 577–586 (2017). https://doi.org/10.17159/2411-9717/2017/v117n6a8

    Article  Google Scholar 

  7. Asad, M.W.A., Qureshi, M.A., Jang, H.: A review of cut-off grade policy models for open pit mining operations. Resour. Policy 49, 142–152 (2016). https://doi.org/10.1016/j.resourpol.2016.05.005

    Article  Google Scholar 

  8. Martinelli, R., Collard, J., Gamache, M.: Strategic planning of an underground mine with variable cut-off grades. Optim. Eng. 21(3), 803–849 (2019). https://doi.org/10.1007/s11081-019-09479-6

    Article  MathSciNet  MATH  Google Scholar 

  9. Jewbali, A., Dimitrakopoulos, R.: Stochastic mine planning—example and value from integrating long- and short-term mine planning through simulated grade control, Sunrise Dam, Western Australia. In: Dimitrakopoulos, R. (ed.) Advances in Applied Strategic Mine Planning, pp. 173–189. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-69320-0_13

    Chapter  Google Scholar 

  10. Paithankar, A., Chatterjee, S., Goodfellow, R., Asad, M.W.A.: Simultaneous stochastic optimization of production sequence and dynamic cut-off grades in an open pit mining operation. Resour. Policy 66(March), 101634 (2020). https://doi.org/10.1016/j.resourpol.2020.101634

    Article  Google Scholar 

  11. Ahmadi, M.R., Bazzazi, A.A.: Application of meta-heuristic optimization algorithm to determine the optimal cutoff grade of open pit mines. Arab. J. Geosci. 13(5), 1–12 (2020). https://doi.org/10.1007/s12517-020-5104-7

    Article  Google Scholar 

  12. Githiria, J., Musingwini, C.: A stochastic cut-off grade optimization model to incorporate uncertainty for improved project value. J. Southern Afr. Inst. Min. Metall. 119(3), 217–228 (2019). https://doi.org/10.17159/2411-9717/2019/v119n3a1

    Article  Google Scholar 

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Correspondence to Carlos Raymundo .

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Flores-Zuniga, E., Rivera-Ascencios, D., Alayo-Leon, E., Aramburu-Rojas, V., Raymundo, C. (2021). Evaluation Method in Multiple Scenarios by Means of Datamine Applying the Law of Variable Cutting in Optimization of the NPV in Open Pit. In: Trzcielinski, S., Mrugalska, B., Karwowski, W., Rossi, E., Di Nicolantonio, M. (eds) Advances in Manufacturing, Production Management and Process Control. AHFE 2021. Lecture Notes in Networks and Systems, vol 274. Springer, Cham. https://doi.org/10.1007/978-3-030-80462-6_21

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  • DOI: https://doi.org/10.1007/978-3-030-80462-6_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-80461-9

  • Online ISBN: 978-3-030-80462-6

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