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After designing the final range of open pit mines, one of the first essential decisions to be made in the production planning framework is to determine the cutoff grade. The cutoff grade of mines, due to interconnections with technical and economic parameters, is one of the most important parameters for the design of open pit mines. Considering the fundamental role of plant cutoff grade on the economical operation of a mine, the optimal selection of this grade is of great importance. One of the main problems in mining operations is how to determine the optimal cutoff grades of ore deposits at different periods during the life of a mine, it can be considered based on one of the goals of maximizing annual profit or net present value extraction during the mining period. Despite the existence of a range of different techniques for determining the optimal cutoff grade, Lane's algorithm is usually the most widely used cutoff grade optimization technique, which is calculated taking into account the technical and economic factors of production. Cutoff grade optimization with the goal of maximizing the net present value over the years of the mine's life, as well as the correlation with the distribution of the grade and tonnage of the remaining ore, requires a long calculation process, especially for large mines. In this research, optimal cutoff grade programming based on Lane's theory and aimed at maximizing the net present value in MATLAB software (computer model) has been carried out. Mineral operations consist of three phases: mining, processing, and refining. In single-product and single-process mode, the optimum cut-off grade and the net present value of production are calculated for each year of the mine's life. After validating the outputs of the model, the implementation of the computer model based on the data of Gol Gohar iron mine No.1 in a five-year plan was carried out. The changes in optimal cutoff grade and changes in net present value from 48.65% to 18,582 billion rials in the early years of the mine increased to 40.5% and approximately 3000 billion rials at the end of the mine's life.
Wydawca
Czasopismo
Rocznik
Tom
Strony
68--75
Opis fizyczny
Bibliogr. 36 poz.
Twórcy
autor
- Department of Mining Engineering, Faculty of Engineering, International University of Imam Khomeini Qazvin, Qazvin, Iran
Bibliografia
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- 5. Asad, M., & Topal, E. (2011). Net present value maximization model for optimum cut-off grade policy of open pit mining operations. Journal of the South African Institute of Mining and Metallurgy, 111(11), 741-750.
- 6. Ataei, M. (2003). Determination of optimum cutoff grades of multiple metal deposits by using the Golden Section search method. Journal of the South African Institute of Mining and Metallurgy, 103(8), 493-499.
- 7. Ataei, M., & Osanloo, M. (2003). Determination of optimum cutoff grades of multiple metal deposits by iterated grid search method. Journal of the South African Institute of Mining and Metallurgy, 103(8), 493-499.
- 8. Azimi, Y., & Osanloo, M. (2011). Determination of open pit mining cut-off grade strategy using combination of nonlinear programming and genetic algorithm. Archives of Mining Sciences, 56(2), 189-212.
- 9. Azimi, Y., Osanloo, M., & Esfahanipour, A. (2012). Selection of the open pit mining cut-off grade strategy under price uncertainty using a risk based multi-criteria ranking system/Wybór strategii określania warunku opłacalności wydobycia w kopalniach odkrywkowych w warunkach niepewności cen w oparciu o wielokryterialny system rankingowy z uwzględnieniem czynników ryzyka. Archives of Mining Sciences, 57(3), 741-768.
- 10. Barr, D. (2012). Stochastic dynamic optimization of cut-off grade in open pit mines. Canada: Queen's University.
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- 12. Cetin, E., & Dowd, P. (2016). Multiple cut-off grade optimization by genetic algorithms and comparison with grid search method and dynamic programming. Journal of the South African Institute of Mining and Metallurgy, 116(7), 681-688.
- 13. Dagdelen, K. (2001). Open pit optimization-strategies for improving economics of mining projects through mine planning. Proceedings 17th international mining congress and exhibition of Turkey (pp. 117-121). Ankara, Turkey: Chamber of Mining Engineers of Turkey IMCET 2001.
- 14. Dimitrakopoulos, R., Martinez, L., & Ramazan, S. (2007). A maximum upside/minimum downside approach to the traditional optimization of open pit mine design. Journal of Mining Science, 43(1), 73-82.
- 15. Gholamnejad, J. (2008). Determination of the optimum cutoff grade considering environmental cost. Journal of International Environmental Application & Science, 3(3), 186-194.
- 16. He, Y., Zhu, K., Gao, S., Liu, T., & Li, Y. (2009). Theory and method of genetic-neural optimizing cut-off grade and grade of crude ore. Expert Systems with Applications, 36(4), 7617-7623.
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- 25. Osanloo, M., & Ataei, M. (2003). Using equivalent grade factors to find the optimum cutoff grades of multiple metal deposits. Minerals Engineering, 16(8), 771-776.
- 26. Osanloo, M., Gholamnejad, J., & Karimi, B. (2008a). Long-term open pit mine production planning: A review of models and algorithms. Int. J. Min. Reclamat. Environ. 22(1), 3-35.
- 27. Osanloo, M., Rashidinejad, F., & Rezai, B. (2008b). Incorporating environmental issues into optimum cut-off grades modeling at porphyry copper deposits. Resources Policy, 33(4), 222-229.
- 28. Rafiee, R., Ataei, M., & Azarfar, A. (2016). Determination of optimal open-pit mines with the goal of maximizing net present value using colonial competition algorithm. Journal of Analytical and Numerical Methods in Mining Engineering, 11, 89-99.
- 29. Rashidinejad, F., Osanloo, M., & Rezai, B. (2008). An environmental oriented model for optimum cut-off grades in open pit mining projects to minimize acid mine drainage. International journal of Environmental Science and Technology, 5(2), 183-194.
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Typ dokumentu
Bibliografia
Identyfikator YADDA
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