DOI https://doi.org/10.36487/ACG_repo/2465_85
Cite As:
Ramires, J, Reardon, D & Gosche, K 2024, 'Implicit modelling workflow for a geotechnical model for rapid integration and its calibration for application at Tropicana gold mine', in P Andrieux & D Cumming-Potvin (eds),
Deep Mining 2024: Proceedings of the 10th International Conference on Deep and High Stress Mining, Australian Centre for Geomechanics, Perth, pp. 1291-1308,
https://doi.org/10.36487/ACG_repo/2465_85
Abstract:
Spatial modelling of geotechnical variables is vital to guide mine designs by highlighting risks and opportunities in advance. Specifically for open stope underground mines, the modelling of the rock mass quality using Q’ (Potvin 1988) and uniaxial compressive strength (UCS) allows the estimation of stable stope spans and minimum pillar requirements. The resulting extraction ratios (ER%) are loaded into the geotechnical model for rapid integration (GMRi) and provided to mine planners before design of the stoping areas. This process has been successfully semi-automated at Tropicana gold mine (TGM) in Australia by AngloGold Ashanti (AGA). The current rock mass modelling methodology uses implicit links to combine the geological model and geotechnical datasets in a single modelling project. This paper aims to present an implicit modelling workflow to update the GMRi and the application of this process at TGM to allow forecasting of declining extraction ratios at depth many years in advance, providing the opportunity for the business to proactively consider alternative mining methods.
Keywords: implicit modelling, extraction ratio, rock mass modelling, geotechnical model for rapid integration
References:
Banff, C 2018, Tropicana Equotip Correlation Update – BS Drill Program, internal document for AngloGold Ashanti.
Briggs, T 2023, ‘AngloGold Ashanti at the 2023 Diggers and Dealers Conference’, paper presented at Diggers and Dealers Forum, Kalgoorlie, 7–9 August.
Clark, L & Pakalnis, R 1997, ‘An empirical design approach for estimating unplanned dilution from open stope hanging walls and footwalls’, 99th Annual AGM–CIM Conference.
Fernandes, S, Reardon, D & Cowan, M 2024, ‘Stope design calibration at Boston Shaker underground mine for applications to bulk mining in a shallow dipping orebody’, in H Schunnesson (ed.), Proceedings of the 9th International Conference And Exhibition On Mass Mining (MassMin 2024).
Hamman, ECF, du Plooy, DJ & Seery, JM 2017, ‘Data management and geotechnical models’, in J Wesseloo (ed.), Deep Mining 2017: Proceedings of the Eighth International Conference on Deep and High Stress Mining, Australian Centre for Geomechanics, Perth, pp. 461–487,
Isaaks, EH & Srivastava, RM 1989, An Introduction to Applied Geostatistics, Oxford University Press, New York.
Lunder, PJ & Pakalnis, R 1991, ‘Determination of the strength of hard-rock mine pillars’, CIM Bulletin, vol. 90, no. 1013, pp. 51–55.
Mathews, K, Hoek, E, Wyllie, D & Stewart, S 1981, Prediction of Stable Excavations for Mining at Depth Below 1000 Metres in Hard Rock, DSS File No. 17SQ.23440-0-90210, Report to Canada Centre for Mining and Energy Technology (CANMET), Department of Energy and Resources, Ottowa.
Norwegian Geotechnical Institute 2015, Using the Q-system for Rock Mass Classification and Support Design.
Potvin, Y 1988, Empirical Open Stope Design in Canada, PhD thesis, The University of British Columbia, Vancouver.
Reardon, D 2023, Havana Underground Feasibility Study, internal document for AngloGold Ashanti.