Document Type : Case Study


Faculty of Mining, Petroleum & Geophysics Engineering, Shahrood University of Technology, Shahrood, Iran


The contamination of ores with wastes or materials of lower than the cut-off grade is referred to as dilution. Dilution is an undesirable phenomenon that, on one hand, reduces the product grade and, consequently, reduces the sales prices and, on the other hand, adds an extra cost to waste production. Therefore, studying and evaluating the dilution risk is important in mining, and especially in underground mining. In this work, using a powerful decision-making method, i.e. Multi-Attributive Approximation Area Comparison (MABAC), the dilution risk and ranking it in underground mines are assessed. For this purpose, the most important parameters affecting the dilution in 10 mines of the Venarch manganese mines are first identified and then weighed using the Fuzzy Delphi Analytical Hierarchy Analysis (FDAHP) method. Then using the MABAC method, the dilution risk score for each mine is estimated, and subsequently, various mines are ranked as the dilution risk. Then with the implementation of the Cavity Monitoring System (CMS) and measurement of the actual dilution values, the mines are ranked in dilution. The correct matching of the results of these two rankings indicates that the MABAC method is highly effective in the ranking of the risk. At the end, the risk ranking of the mines is done using the TOPSIS method, and the lack of full compliance with the results of this method with the actual values indicates that the MABAC method is preferable to the TOPSIS method.


Main Subjects

[1]. Jang, H., Topal, E. and Kawamura,Y. (2015). "Decision support system of unplanned dilution and ore-loss in underground stoping operation using a neuro-fuzzy system". Applied Soft Computing 32, pp.1-12.
[2]. Stewart, P.C. and Trueman, R. (2008). "Strategies for Minimizing and predicting Dilution in Narrow Vein Mines-The Narrow Vein Dilution Method". Narrow Vein Mining Conference, Ballarat, Vic.
[3]. Henning, J.G. and Mitri, H.S. (2007). "Numerical modeling of ore dilution in blast-hole stoping". International Journal of Rock Mechanics & Mining Science, 44: 692-703.
[4]. Mohseni, M., Ataei, M. and Khaloo Kakaie, R. (2018). "A new classification system for evaluation and prediction of unplanned dilution in cut-and-fill stoping method". Journal of Mining and Environment, Vol. 9, No. 4, pp. 873-892.
[5]. Saeedi, G., Rezai, B., Shareiar, K.and Oraee, K. (2008). "Quantifying level of out-of-seam dilution for longwall mining method and its impact on yield of coal washing plant in Tabas coal mine".  In Proceedings of the international seminar on mineral processing technology, Trivandrum, India.
[6]. Le Roux, P.J. (2016). "Measurement and prediction of dilution in a gold mine operating with open stoping mining methods". Phd thesis, Johannesburg University.
[7]. Popov, G. (1971). The Working of Mineral Deposits, Translated by V. Shiffer. Mir Publishers, Moscow: pp. 259-267.
[8]. Miller, F., Potvin, Y. and Jacob, D. (1992). “Laser measurement of open stope dilution”. CIM (Canadian Mining and Metallurgical) Bulletin. 85(962): 96-102.
[9]. Pamučar, D. and Ćirović, G. (2015). “The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC)”. Expert systems with applications. 42(6): 3016-3028.
[10]. Peng, X. and Yang, Y. (2016). “Pythagorean fuzzy Choquet integral based MABAC method for multiple attribute group decision making”. International Journal of Intelligent Systems. 31(10): 989-1020
[11]. Xue, Y.-X., You, J.-X., Lai, X.-D. and Liu, H.-C. (2016). “An interval-valued intuitionistic fuzzy MABAC approach for material selection with incomplete weight information”. Applied Soft Computing. 38: 703-713.
[12]. Debnath, A., Roy, J., Kar, S., Zavadskas, E. and Antucheviciene, J. (2017). “A hybrid MCDM approach for strategic project portfolio selection of agro by-products”. Sustainability. 9(8): 1302.
[13]. Yu, S.-m., Wang, J. and Wang, J.-q. (2017). “An interval type-2 fuzzy likelihood-based MABAC approach and its application in selecting hotels on a tourism website”. International Journal of Fuzzy Systems. 19(1): 47-61.
[14]. Shi, H., Liu, H.-C., Li, P. and Xu, X.-G. (2017). “An integrated decision making approach for assessing healthcare waste treatment technologies from a multiple stakeholder”. Waste management, 59, 508-517.
[15]. Goorchi, R. N., Amini, M. and Memarian, H. (2018). “A new rating system approach for risk analysis of rock slopes”. Natural hazards, 1-28.
[16]. Liu, S., Li, W. and Wang, Q. (2018). “Zoning method for environmental engineering geological patterns in underground coal mining areas”. Science of the Total Environment, 634, 1064-1076.
[17]. Pamučar, D., Petrović, I. and Ćirović, G. (2018). “Modification of the Best–Worst and MABAC methods: A novel approach based on interval-valued fuzzy-rough numbers”. Expert systems with applications. 91: 89-106
[18]. Liang, W., Zhao, G., Wu, H. and Dai, B. (2019). “Risk assessment of rockburst via an extended MABAC method under fuzzy environment”. Tunnelling and Underground Space Technology. 83: 533-544.
[19]. (NGDIR, 2014).
[20]. Kavoshgaran Consulting Engineers Company (KCE). (2010). Exploration project of Venarch Deposit. 1- 23 (In Persian).
[21]. Mohseni, M., Ataei, M. and Khaloo Kakaie, R. (2018). "Presentation of a Model for Determination of dilution in Cut and Fill Mining Method". PhD theses, Faculty of Mining, Petroleum & Geophysics Shahrood University of Technology. (In persian).
[21]. Mohseni, M., Ataei, M. and Khaloo Kakaie, R. (2018). "A model for prediction unplanned dilution in underground metal mines with rock engineering system approach". Journal of Mineral Resources Engineering (JMRE). (In persian).
[22]. Laubscher, D.H. (1977). “Geomechanics Classification of Jointed Rock Mass – Mining Applications”. Trans. Inst, Min. Metall.pp-86.
[23]. Henning, J.G. (2007). “Evaluation of Long-Hole Mine Design Influences on Unplanned Ore dilution”. PhD thesis, Department of Mining and Metallurgical Egineering, Mc Gill University, Montreal.
[24]. Mohseni, M., Ataei, M. and Khaloo Kakaie, R. (2019). "Effects of Blast Vibration on Unplanned Dilution in an Underground Metal Mine". Analytical and Numerical Methods in Mining Engineering. Vol. 8, No. 17, pp. 77-90.
[25]. Diederichs, M.S. and Kaiser, P.K. (1996). “Rock Instability and Risk Analyses in Open Stope Mine Design”. Can Geotech J, Canada. pp. 431-439.
[26]. Ataei, M., 2015. "Underground Mining", Shahrood University of Technology: Iran. p. 190. (In Persian).