Development of An Integrated Mathematical Model to Optimize Waste Rock dumping Satisfying Environmental Aspects | ||
| Journal of Mining and Environment | ||
| مقاله 17، دوره 11، شماره 2، تیر 2020، صفحه 577-586 اصل مقاله (3.54 M) | ||
| نوع مقاله: Original Research Paper | ||
| شناسه دیجیتال (DOI): 10.22044/jme.2020.9293.1829 | ||
| نویسندگان | ||
| T. Ramezanalizadeh؛ M. Monjezi* ؛ A. R. Sayadi؛ A. Mousavinogholi | ||
| Department of Mining Engineering, Faculty of Engineering, Tarbiat Modares University, Tehran , Iran | ||
| چکیده | ||
| Waste rock dumping is very important in the production planning of open-pit mines. This subject is more crucial when there is a potential of acid-forming (PAF) by waste rocks. In such a type of mines, to protect the environment, the PAF materials should be encapsulated by non-harmful rocks. Therefore, block sequencing of the mined materials should be in such a way that both the environmental and economic considerations are considered. If non-acid forming (NAF) rocks are not mined in a proper time, then a stockpile is required for the NAF materials, which later on would be re-handled for encapsulation of PAF rocks. In the available models, the focus is on either block sequencing or waste dumping strategy. In this work, an attempt has been made to develop an integrated mathematical model for simultaneous optimization of block sequencing and waste rock dumping. The developed model not only maximizes the net present value (NPV) but also decreases the destructive environmental effects of inappropriate waste dumping. The proposed model, which is solved by a CPLEX engine, is applied to two different iron deposits. Also the performance of the proposed model is cross-checked by applying the available (traditional) models in a two-step manner. According to the results obtained, it can be considered that utilizing the developed model, because of extensive re-handling cost reduction, the NPV improvement is significant, especially when the overall stripping ratio is higher (deposit case A). | ||
| کلیدواژهها | ||
| Keywords Waste Rock Dumping؛ Encapsulating؛ Block Sequencing؛ Optimization؛ NPV | ||
| مراجع | ||
|
[1]. Whittle, J. (1989). The facts and fallacies of open pit optimization. Whittle Programming Pty Ltd., North Balwyn, Victoria, Australia, 1-7. [2]. Worldwide, E.L.A. (2010). Guidebook for evaluating mining project EIAs. Environmental Law Alliance Worldwide, Eugene, Oregon. [3]. Dhir, B. (2018). Biotechnological tools for remediation of acid mine drainage (removal of metals from wastewater and leachate). In Bio-Geotechnologies for Mine Site Rehabilitation. 67-82. [4]. Gazea, B., Adam, K. and Kontopoulos, A. (1996). A review of passive systems for the treatment of acid mine drainage. Minerals engineering. 9 (1): 23-42. [5]. Trifi, M., Dermech, M., Abdelkrim, C., Azouzi, R. and Hjiri, B. (2018). Extraction procedures of toxic and mobile heavy metal fraction from complex mineralogical tailings affected by acid mine drainage. Arabian Journal of Geosciences. 11 (12): 328. [6]. Kim, G-M., Kim, D-H., Kang, J-S. and Baek, H. (2014). Treatment of synthetic acid mine drainage using rice wine waste as a carbon source. Environmental earth sciences. 71 (10): 4603-4609. [7]. Alhamed, M. (2015). Identification of geochemical processes controlling the neutralization of abandoned coal mine drainage using integration of geochemical modelling, geochemical analysis, and batch test: an example from the south of Bochum, Germany. Arabian Journal of Geosciences. 8 (10): 8009-8025. [8]. Caccetta, L. and Hill, SP. (2003). An application of branch and cut to open pit mine scheduling. Journal of global optimization. 27 (2-3): 349-365. [9]. Ramazan, S. (2007). The new fundamental tree algorithm for production scheduling of open pit mines. European Journal of Operational Research. 177 (2): 1153-1166. [10]. Boland, N., Dumitrescu, I., Froyland, G. and Gleixner, AM. (2009). LP-based disaggregation approaches to solving the open pit mining production scheduling problem with block processing selectivity. Computers & Operations Research. 36 (4): 1064-1089. [11]. Jelvez, E., Morales, N., Nancel-Penard, P., Peypouquet, J. and Reyes, P. (2016). Aggregation heuristic for the open-pit block scheduling problem. European Journal of Operational Research. 249 (3): 1169-1177. [12]. Ramazan, S. and Dimitrakopoulos, R. (2013). Production scheduling with uncertain supply: a new solution to the open pit mining problem. Optimization and Engineering. 14 (2): 361-380. [13]. Lambert, WB. and Newman, AM. (2014). Tailored Lagrangian Relaxation for the open pit block sequencing problem. Annals of Operations Research. 222 (1): 419-438. [14]. Cullenbine, C., Wood, RK. and Newman, A. (2011). A sliding time window heuristic for open pit mine block sequencing. Optimization Letters. 5 (3): 365-377. [15]. Lamghari, A., Dimitrakopoulos, R. and Ferland, JA. (2015). A hybrid method based on linear programming and variable neighborhood descent for scheduling production in open-pit mines. Journal of Global Optimization. 63 (3): 555-582. [16]. Chicoisne, R., Espinoza, D., Goycoolea, M., Moreno, E. and Rubio, E. (2012). A new algorithm for the open-pit mine production scheduling problem. Operations Research. 60 (3): 517-528. [17]. Denby, B. and Schofield, D. (1994). Open-pit design and scheduling by use of genetic algorithms, Transactions of the Institution of Mining and Metallurgy (Section A: Mining Industry). 103: A21-A26. [18]. Sayadi, A., Tavassoli, S., Monjezi, M. and Rezaei, M. (2014). Application of neural networks to predict net present value in mining projects. Arabian Journal of Geosciences. 7 (3): 1067-1072. [19]. Kumral, M. and Dowd, P. (2005). A simulated annealing approach to mine production scheduling. Journal of the Operational Research Society. 56:922-930. [20]. Kumral, M. (2013). Optimizing ore–waste discrimination and block sequencing through simulated annealing. Applied Soft Computing. 13 (8): 3737-3744. [21]. Mousavi, A., Kozan, E. and Liu, SQ. (2016). Comparative analysis of three metaheuristics for short-term open pit block sequencing. Journal of Heuristics. 22 (3): 301-329. [22]. Mousavi, A., Kozan, E. and Liu, SQ. (2016). Open-pit block sequencing optimization: A mathematical model and solution technique. Engineering Optimization. 48: 1932-1950. [23]. Ferland, JA., Amaya, J. and Djuimo, MS. (2007). Application of a particle swarm algorithm to the capacitated open pit mining problem, In Autonomous Robots and Agents, Berlin, Heidelberg,127-133. [24]. Khan, A. and Niemann-Delius, C. (2014). Production scheduling of open pit mines using particle swarm optimization algorithm. Advances in Operations Research. 2014:1-9. [25]. Sattarvand, J. and Niemann-Delius, C. (2008). Perspective of metaheuristic optimization methods in open pit production planning. Mineral Resources Management. 24 (4): 143-156. [26]. Shishvan, MS. and Sattarvand, J. (2015). Long term production planning of open pit mines by ant colony optimization. European Journal of Operational Research. 240 (3): 825-836. [27]. Lamghari, A. and Dimitrakopoulos, R. (2012). A diversified Tabu search approach for the open-pit mine production scheduling problem with metal uncertainty. European Journal of Operational Research. 222 (3): 642-652. [28]. Mokhtarian, Asl. and M. Sattarvand, J. (2016). An imperialist competitive algorithm for solving the production scheduling problem in open pit mine. International Journal of Mining & Geo-Engineering. 50 (1): 131-143. [29]. Mohammadi, S., Kakaie, R., Ataei, M. and Pourzamani, E. (2017). Determination of the optimum cut-off grades and production scheduling in multi-product open pit mines using imperialist competitive algorithm (ICA). Resources Policy. 51: 39-48. [30]. Dincer, T. (2001). Application of pit optimisation algorithms beyond open pit limits, 17th International Mining Congress and Exhibition of Turkey-IMCET, 975-395. [31]. Williams, D., Topal, E., Zang, N. and Scott, P. (2008). Development of a rock dump scheduling model using linear programming, Proc, First International Seminar on the management of Rock Dumps, Stockpiles and Heap Leach Pads, Australian Centre for Geomechanics,Perth. 129-137. [32]. Ben-Awuah, E., Askari-Nasab, H. and Awuah-Offei, K. (2012). Production Scheduling and Waste Disposal Planning for Oil Sands Mining Using Goal Programming. Journal of Environmental Informatics. 20: 20-33. [33]. Li, Y., Topal, E. and Williams, D. (2013). Waste rock dumping optimisation using mixed integer programming (MIP). International Journal of Mining, Reclamation and Environment. 27 (6): 425-436. [34]. Fu, Z., Asad, M. W.A. and Topal, E. (2019). A new model for open-pit production and waste-dump scheduling. Engineering Optimization. 51(4): 718-732. [35]. Ramazan, S. and Dimitrakopoulos, R. (2004). Recent applications of operations research and efficient MIP formulations in open pit mining, Transactions of Society for Mining, Metallurgy, and Exploration, 316: 73-78. | ||
|
آمار تعداد مشاهده مقاله: 939 تعداد دریافت فایل اصل مقاله: 689 |
||