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Evaluation of mining projects subjected to economic uncertainties using the Monte Carlo simulation and the binomial tree method: Case study in a phosphate mine in Egypt

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  • Kamel, Ahmed
  • Elwageeh, Mohamed
  • Bonduà, Stefano
  • Elkarmoty, Mohamed

Abstract

Mining project evaluation is a very complex process and time-consuming task. Any mining project passes through several study stages, like conceptual, preliminary feasibility, and feasibility studies, using a systematic and standardized approach. These studies allow investors to evaluate the exploitations alternatives according to economic and technical criteria to make a better decision. This research aims to study a model for investment risk analysis developed for the case study of “Abu Tartur mining project, Egypt.” Abu Tartur plateau is rich in phosphate rock, turned into phosphoric acid and fertilizers. This study used site-specific data that has been taken from the literature to build evaluation models using the Monte Carlo Simulation (MCS) and the Binomial Decision Tree (BDT) methods. The Discounted Cash Flow (DCF) is considered a benchmark method for all other evaluation methods. The MCS method uses a set of parameters that, in some cases, will give a higher NPV of the project and some others with lower values, but this depends on the probability of the input parameters. The developed evaluation models allowed a specific range of values, with confidence intervals as the MCS model. The advantage of using a probabilistic approach helps in the decisional phase, allowing for a more precise overview of the variability of the final economic value of the mine. Deterministic methods, like the DCF method, offer a solution that is limited to uncertainty analysis.

Suggested Citation

  • Kamel, Ahmed & Elwageeh, Mohamed & Bonduà, Stefano & Elkarmoty, Mohamed, 2023. "Evaluation of mining projects subjected to economic uncertainties using the Monte Carlo simulation and the binomial tree method: Case study in a phosphate mine in Egypt," Resources Policy, Elsevier, vol. 80(C).
    • Handle: RePEc:eee:jrpoli:v:80:y:2023:i:c:s0301420722007097
    DOI: 10.1016/j.resourpol.2022.103266
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    1. Azimi, Yousuf & Osanloo, Morteza & Esfahanipour, Akbar, 2013. "An uncertainty based multi-criteria ranking system for open pit mining cut-off grade strategy selection," Resources Policy, Elsevier, vol. 38(2), pages 212-223.
    2. Dehghani, Hesam & Bogdanovic, Dejan, 2018. "Copper price estimation using bat algorithm," Resources Policy, Elsevier, vol. 55(C), pages 55-61.
    3. Dou, Shi-quan & Liu, Jiang-yi & Xiao, Jian-zhong & Pan, Wen, 2020. "Economic feasibility valuing of deep mineral resources based on risk analysis: Songtao manganese ore - China case study," Resources Policy, Elsevier, vol. 66(C).
    4. Luiz E. Brandão & James S. Dyer & Warren J. Hahn, 2005. "Using Binomial Decision Trees to Solve Real-Option Valuation Problems," Decision Analysis, INFORMS, vol. 2(2), pages 69-88, June.
    5. Kloeckner, Jonas & Alves, João Lucas O. & Silva, Flavio H.T. & Guimaraes, Octavio R.A. & Bassani, Marcel A.A. & Costa, Joao Felipe C.L., 2021. "Application of risk assessment to improve sustainability in bauxite mining," Resources Policy, Elsevier, vol. 74(C).
    6. Mathieu Sauvageau & Mustafa Kumral, 2018. "Cash flow at risk valuation of mining project using Monte Carlo simulations with stochastic processes calibrated on historical data," The Engineering Economist, Taylor & Francis Journals, vol. 63(3), pages 171-187, July.
    7. Farahani, Hossein & Bayazidi, Shadi, 2018. "Modeling the assessment of socio-economical and environmental impacts of sand mining on local communities: A case study of Villages Tatao River Bank in North-western part of Iran," Resources Policy, Elsevier, vol. 55(C), pages 87-95.
    8. Dehghani, Hesam & Ataee-pour, Majid & Esfahanipour, Akbar, 2014. "Evaluation of the mining projects under economic uncertainties using multidimensional binomial tree," Resources Policy, Elsevier, vol. 39(C), pages 124-133.
    9. Chen, Yan, 2021. "Evaluating the influence of energy prices on tight oil supply with implications on the impacts of COVID-19," Resources Policy, Elsevier, vol. 73(C).
    10. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
    11. Cox, John C. & Ross, Stephen A. & Rubinstein, Mark, 1979. "Option pricing: A simplified approach," Journal of Financial Economics, Elsevier, vol. 7(3), pages 229-263, September.
    12. Dehghani, Hesam & Ataee-pour, Majid, 2012. "Determination of the effect of operating cost uncertainty on mining project evaluation," Resources Policy, Elsevier, vol. 37(1), pages 109-117.
    13. Kopacz, Michał & Kulpa, Jarosław & Galica, Dominik & Dyczko, Artur & Jarosz, Jacek, 2019. "Economic valuation of coal deposits – The value of geological information in the resource recognition process," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
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