A Generalized Mathematical Model for Integrated Production Planning in Drift-and-Fill Mining Operation | ||
| Journal of Mining and Environment | ||
| مقاله 13، دوره 15، شماره 4، دی 2024، صفحه 1395-1408 اصل مقاله (1.61 M) | ||
| نوع مقاله: Original Research Paper | ||
| شناسه دیجیتال (DOI): 10.22044/jme.2024.13578.2510 | ||
| نویسندگان | ||
| Mehdi Rahmanpour* ؛ Golpari Norozi؛ Hassan Bakhshandeh Amnieh | ||
| School of Mining, College of Engineering University of Tehran, Tehran, Iran | ||
| چکیده | ||
| Drift-and-fill mining is a variation of cut-and-fill mining method. Drift-and-fill mining method refers to the excavation of several parallel drifts in ore. Excavation of a new drift could start when its adjacent drifts are backfilled or not excavated. The amount of ore material and its grade depends on the excavation sequence of drifts. As the number of drifts increases, one will need a model to optimize the drift excavation and backfilling sequence. This paper introduces a mathematical model to determine the optimal drift-and-fill sequence while the safety constraints, excavation, and backfilling capacities and their dependencies are satisfied. The model seeks to minimize the deviations from some predefined goals, and it handles the long-term and short-term constraints in separate and integrated scenarios. An application of the model is presented based on the data available from a lead/zinc underground mining project. There are 91 drifts in the selected level. Based on the monthly planning horizon, the integrated model leads to the slightest deviations in both the mining rate and average grade, and the deviation from the predetermined annual goals is negligible. For the case where long-term and short-term plans are determined separately, the deviation is approximately 10%. | ||
| کلیدواژهها | ||
| Optimization؛ Underground Mining Methods؛ Drift-and-fill mining؛ Integrated production planning؛ Production deviations | ||
| مراجع | ||
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[1]. Chanda, E.C.K. (1990). An application of integer programming and simulation to production planning for a stratiform ore body. Mining Science and Technology. 11(2): 165-172.
[2]. Wooller, R. (1992). Production scheduling system. Transactions of the Institution of Mining and Metallurgy. Section A, 101: 47-554.
[3]. Pourrahimian, Y., & Askari-Nasab, H. (2013). A multi-step approach for block cave production scheduling optimization. International Journal of Mining Science and Technology. 23(5): 739-750.
[4]. Chowdu, A., Nesbitt, P., Brickey, A., & Newman, A.M. (2022). Operations research in underground mine planning: a review. INFORMS Journal on Applied Analytics. 52(2):109-132.
[5]. Shami-Qalandari, M., Rahmanpour, M., & Mirabedi, S.M.M., (2022). Determining a resilient stope boundary for underground mass mining projects. Rudarsko-geološko-naftni zbornik. 37(5): 103-116.
[6]. Sotoudeh, F., Ataei, M., Kakaie, R., & Pourrahimian, Y. (2020). Application of sequential gaussian conditional simulation to underground mine design under grade uncertainty. Journal of Mining and Environment (JME). 11(3): 695-709.
[7]. Nehring, M., Topal, E., Kizil, M., & Knights, P. (2012). Integrated short- and medium-term underground mine production scheduling. Journal of the South African Institute of Mining and Metallurgy. 112: 359-372.
[8]. Jawed, M. (1993). Optimal production planning in underground coal mines through goal programming: A case study from an Indian mine. In: Elbrond, J., & Tang, X. (Eds.). Proceedings of the 24th International APCOM Symposium, CIM, Montreal. 44–50.
[9]. Newman, A.M., Rubio, E., Caro, R., Weintraub, A., & Eurek, K. (2010). A review of operations research in mine planning. Interfaces. 40: 222- 245.
[10]. Trout, L.P. (1995). Underground mine production scheduling using mixed integer programming. In: Proceedings of the 25th International APCOM Symposium. 395- 400.
[11] Nehring, M. (2006). Stope sequencing and optimization in underground hard rock mining. Bachelor thesis. The University of Queensland. Brisbane.
[12]. Little, J., Knights, P., & Topal, E. (2013). Integrated optimization of underground mine design and scheduling. Journal of the Southern African Institute of Mining and Metallurgy. 113: 775-785.
[13]. O’Sullivan, D., & Newman, A. (2015). Optimization-based heuristics for underground mine scheduling. European Journal of Operational Research. 241: 248-259.
[14]. Terblanche, S., & Bley, A. (2015). An improved formulation of the underground mine scheduling optimisation problem when considering selective mining. ORiON. 31: 1-16.
[15]. Huang, S., Li, G., Ben-Awuah, M., Afum, B.O., & Hu, N., (2020). A robust mixed integer linear programming framework for underground cut-and-fill mining production scheduling. International Journal of Mining, Reclamation and Environment. 34(6): 397-414.
[16]. Foroughi, S., Khademi, J., Monjezi, M., & Nehring, M., (2019). Simultaneous optimization of stope layout and production scheduling in sublevel stoping method. Iranian Journal of Mining Engineering- IRJME. 14(43): 81-90.
[17]. Shenavar, M., Ataee-pour, M., & Rahmanpour, M. (2020). A new mathematical model for production scheduling in sub-level caving mining. Journal of Mining and Environment (JME). 11(3): 765-778.
[18]. Sari, Y.A., & Kumral, M. (2021). Clustering-based iterative approach to stope layout optimization for sublevel stoping. Journal of the Southern African Institute of Mining and Metallurgy. 121(3): 97–106.
[19]. Kumral, M., & Sari, Y.A., (2020). Underground mine planning for stope-based methods. In: AIP Conf. Proceedings of the 2nd International Conference on Earth Science, Mineral, and Energy.
[20]. Topal, E., (2008). Early start and late start algorithms to improve the solution time for long-term underground mine production scheduling. The Journal of the Southern African Institute of Mining and Metallurgy. 108: 99-107.
[21]. Rahmanpour, M., Osanloo, M., & Mirabedi, S.M.M. (2022). Estimating mining time-span to improve the solution time in long-term production planning. International Journal of Mining & Geo-Engineering. 56(2): 159-165.
[22]. Morin, M., Bamber, A. & Scoble, M. (2004). Systems analysis and simulation of narrow-vein mining method with underground preconcentration. In: Proceedings Second International Symposium on Narrow-Vein Deposits. Westmount, Canada. 359-369.
[23]. Mohseni, M., Ataei, M. & KhalooKakaie, R. (2018). A new classification system for evaluation and prediction of unplanned dilution in cut-and-fill stoping method. Journal of Mining and Environment. 9(4): 873-892.
[24]. Manriquez, F., Perez, J., & Morales, N. (2020). A simulation–optimization framework for short-term underground mine production scheduling. Optimization and Engineering. 21(3): 939–971.
[25]. Brickey, A.J., Chowdu, A., Newman, A., Goycoolea, M., & Godard, R. (2021). Barrick’s Turquoise Ridge gold mine optimizes underground production scheduling operations. INFORMS J. Appl. Analytics. 51(2): 106–118.
[26]. Nehring, M., & Topal, E. (2007). Production schedule optimisation in underground hard rock mining using mixed integer programming. In: Project Evaluation Conference. 19-20 June. Melbourne, Victoria. The Australasian Institute of Mining and Metallurgy. 169–175.
[27]. Nehring, M., Topal, E., & Knights, P. (2010). Dynamic short-term production scheduling and machine allocation in underground mining using mathematical programming. Min. Technol. 119: 212–220
[28]. Ogunmodede, O., Lamas, P., Brickey, A., Bogin, J.G., & Newman, A. (2022). Underground production scheduling with ventilation and refrigeration considerations. Optimization and Engineering. 23: 1677–1705.
[29]. Campeau, L.P., & Gamache, M. (2020). Short-term planning optimization model for underground mines. Computers & Operations Research. 115: 104642.
[30] Campeau, L.P., Gamache, M., & Martinelli, R. (2022). Integrated optimization of short- and medium-term planning in underground mines. International Journal of Mining, Reclamation and Environment. 36(4): 235-253.
[31]. Stephan, G. (2011). Cut-and-fill Mining. Chapter 13.5. In: Darling, P. (Ed.) SME mining engineering handbook, 3rd edition. Society of Mining, Metallurgy, and Exploration Inc. (SME). 1365-1373
[32]. Swan, G., & Brummer, R.K. (2001). Backfill design for deep, underhand drift-and-fill mining. In: Minefill 2001: Proceedings of the 7th International Symposium on Mining with Backfill. USA, 359-368.
[33]. Dawson, L., Yumlu, M., & English, M. (2008). Drift and fill - the high value, high recovery mining system. Narrow Vein Mining Conference, Ballarat, Vic, 14 - 15 October. 187-194
[34]. Neves, J., Araujo, C. & Soares, A. (2021). Uncertainty integration in dynamic mining reserves. Mathematical Geosciences. 53: 737-755.
[35]. Spearing, A.S., Ma, L. & Ma, C.A. (2022). Mine design, planning and sustainable exploitation in the digital age. CRC Press. 262-263.
[36]. Peng, C., Liu, Y., Zhu, M., Hou, K., Liu, X., Li, G., Yin, Y. & Liu, Z. (2023). Mechanical response and failure characteristics of granite under unloading conditions and its engineering application. Periodica Polytechnica Civil Engineering. 67(2): 505-517.
[37]. Ran, J.J. (2019). Safe mining practices under wide spans in underground non-caving mines–Case studies. International Journal of Mining Science and Technology. 29(4): 535-540.
[38]. Hu, Y., Han, B., Zhang, B. & Li, K. (2023). Force analysis and strength determination of the cemented paste backfill roof in underhand drift cut-and-fill stopping. Applied Sciences. 13(2): 855, 1-17.
[39]. Keita, A.M.T., Jahanbakhshzadeh, A. & Li, L. (2022). Numerical analysis of the failure mechanisms of sill mats made of cemented backfill. International Journal of Geotechnical Engineering. 16(7): 802-814.
[40]. Goodwin, G.C., Seron, M.M., Middleton, R.H., Zhang, M., Hennessy, B.F., Stone, P.M., & Menabde, M. (2006). Receding horizon control applied to optimal mine planning. Automatica. 42(8): 1337-1342. | ||
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