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Automatic generation of feasible mining pushbacks for open pit strategic planning

X. Bai, Denis Marcotte, Michel Gamache, D. Gregory and A. Lapworth

Article (2018)

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Cite this document: Bai, X., Marcotte, D., Gamache, M., Gregory, D. & Lapworth, A. (2018). Automatic generation of feasible mining pushbacks for open pit strategic planning. Journal of the Southern African Institute of Mining and Metallurgy, 118(5), p. 515-530. doi:10.17159/2411-9717/2018/v118n5a8
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Abstract

The design of pushbacks in an open pit mine has a significant impact on the mine's profitability. Automatic generation of practical pushbacks is a highly desirable feature, but current automatic solutions fail to sufficiently account for complex geometric requirements of pushbacks, including slopes, phase bench and bottom width, smoothness, and continuity. In this paper, we present a tool to fill this gap. Our proposed algorithm is based on modification of sets of blocks obtained by parametric optimization of the pit using a maximum flow method. A set of geometric operators is developed to modify the sets to present a feasible geometry for mining. The geometric operators are essentially derived from mathematical morphological tools. Case studies show that the proposed method generates practical pushback designs that meet all geometric constraints. The algorithm can be used to create a solution for medium-size pits in minutes. This significantly improves the efficiency of designing pushbacks for open pit mines.

Uncontrolled Keywords

pushbacks, geometric constraints, bench width, open pit planning, image processing, mathematical morphology

Open Access document in PolyPublie
Subjects: 1400 Génie minier et minéral > 1400 Génie minier et minéral
1400 Génie minier et minéral > 1401 Génie minier
Department: Département de mathématiques et de génie industriel
Département des génies civil, géologique et des mines
Research Center: GERAD - Groupe d'études et de recherche en analyse des décisions
Funders: CRSNG/NSERC - Engage and Engage Plus Grants, Mitacs Accelerate, Datamine Software Inc., CRSNG/NSERC
Grant number: RGPIN-2015- 06653
Date Deposited: 17 Mar 2021 10:55
Last Modified: 18 Mar 2021 01:20
PolyPublie URL: https://publications.polymtl.ca/4765/
Document issued by the official publisher
Journal Title: Journal of the Southern African Institute of Mining and Metallurgy (vol. 118, no. 5)
Publisher: The Southern African Institute of Mining and Metallurgy
Official URL: https://doi.org/10.17159/2411-9717/2018/v118n5a8

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