DOI https://doi.org/10.36487/ACG_repo/2535_33
Cite As:
Campos, RM, Soares, PR, Cambraia, DV & Manaia, DM 2025, 'Void model construction for enhanced mine planning and geomechanical stability
at Fazenda Brasileiro mine', in JJ Potter & J Wesseloo (eds),
SSIM 2025: Fourth International Slope Stability in Mining Conference, Australian Centre for Geomechanics, Perth,
https://doi.org/10.36487/ACG_repo/2535_33
Abstract:
This paper presents a comprehensive methodology for developing void models in open cut mining operations, with application to sites transitioning from underground to surface extraction. The approach combines historical mine data, geotechnical investigations, and advanced scanning technology to accurately map subsurface voids. Key aspects include processing historical stope records, implementing targeted drilling programs, and evaluating backfill characteristics through reverse circulation drilling. The methodology emphasises continuous model refinement to address geomechanical changes and ensure operational safety during concurrent open cut and underground mining activities. Implementation resulted in 25% decrease in unplanned ore loss through proactive risk management and optimised resource allocation. Examples of geotechnical incidents include crown pillar collapses, uncontrolled subsidence, and rib pillar failures. Geostatistical void density models were used to prioritise drilling locations, eliminating redundant investigation in low-risk areas.
Keywords: void modelling, open cut, underground mining, void scanning, geotechnical engineering
References:
AMIRA International 2018, Guide to Good Practice for Geotechnical Data Management and Utilisation.
Brady, BHG & Brown, ET 2006, Rock Mechanics For Underground Mining, 3rd edn, Springer Science & Business Media, Dordrecht.
Bieniawski, ZT 1989, Engineering Rock Mass Classification, John Wiley, New York.
GEM Systems 2023, GSM-19 Overhauser Magnetometer/Gradiometer – Technical Specifications, Markham.
Grenon, M & Hadjigeorgiou, J 2012 ‘Applications of integrated laser scanning in underground mines’, Transactions of the Institutions of Mining and Metallurgy, vol. 121, no. 3, pp. 117–122.
Hadjigeorgiou, J, Grenon, M & Turcotte, P 2015, ‘Application of drone-based LiDAR mapping in underground mining’, Mining Technology, vol. 124, no. 4, pp. 213–222.
Pakalnis, R 2016, Empirical Design Methods - UBC Geomechanics Module, The University of British Columbia, Vancouver.
Rubinstein, RY & Kroese, DP 2008, Simulation and The Monte Carlo Method, 2nd edn, Wiley, New York.