Authors: Orrego, C; Viegas, G; Tennant, D; Stonestreet, P

Open access courtesy of:

DOI https://doi.org/10.36487/ACG_repo/2465_77

Cite As:
Orrego, C, Viegas, G, Tennant, D & Stonestreet, P 2024, 'Geological and historically based numerical assessment of seismic hazard in an evolving block cave 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. 1179-1192, https://doi.org/10.36487/ACG_repo/2465_77

Download citation as:   ris   bibtex   endnote   text   Zotero


Abstract:
We developed a workflow to calibrate and forecast seismic hazard and its evolution, generated by seismic activity in known geological structures located next to an evolving block cave mine and corresponding mineinduced stresses. This approach is particularly relevant in caving mines with several mining sectors, where learnings from rock mass behaviour and the associated seismic response of the earlier blocks are used to characterise, back-analyse and forecast future blocks’ seismic hazard, and can also be applicable to other types of underground mines. The methodology considers the geological/geotechnical characterisation of the geological structures such as continuity, planarity, roughness and other associated properties as observed in drillcore and mapping data. Together with observed seismicity, it allows for the ranking of structures by their potential to generate large seismic events. The methodology relies heavily on numerical modelling to track the changes of the stress field due to the cave evolution and its effects on the identified geological structures. The structures are modelled explicitly using interfaces to assess the slip potential and estimate the associated seismic source parameters. The geomechanical model is calibrated using the observed seismicity during previous cave development and then used to forecast (forward analysis) the maximum slip potential of currently seismically inactive structures due to stress evolution (and resulting unclamping) once future block caves are developed. Based on the estimated time-evolving maximum slip potential and associated seismic source parameters, site-specific ground motion prediction equations are used to forecast peak ground motion for critical infrastructure and other sites of interest, allowing an early assessment of seismic hazard based on the geological/geotechnical characteristics of the existing geological structures. The seismic hazard assessment is developed during the study/design stages, allowing for testing multiple scenarios and aiding in minimising the seismic hazard in areas of interest.

Keywords: seismic hazard, numerical modelling, ranking of seismic structures, block caving

References:
Assatourians, K & Atkinson, GM 2013, ‘EqHaz: an open-source probabilistic seismic-hazard code based on the Monte Carlo simulation approach’, Seismological Research Letters, vol. 84, no. 3, pp. 516–524.
Carter, TG, Rogers, SF, Taylor, JJL & Smith, J 2015, ‘Unravelling structural fabric — a necessity for realistic rock mass characterisation for deep mine design’, in Y Potvin (ed.), Design Methods 2015: Proceedings of the International Seminar on Design Methods in Underground Mining, Australian Centre for Geomechanics, Perth, pp. 317–338,
1511_19_Carter
Dennison, PJE, & van Aswegen, G, 1993, ‘Stress modelling and seismicity on the Tanton fault: a case study in a South African Gold Mine’, Rockbursts and Seismicity in Mines 93: Proceedings of the 3rd International Symposium, A.A. Balkema, Rotterdam, pp. 327–335.
Ghazvinian, E, Fuenzalida, M, Orrego, C & Pierce, M 2020, ‘Back analysis of cave propagation and subsidence at Cadia East Mine’,
in R Castro, F Báez & K Suzuki (eds), MassMin 2020: Proceedings of the Eighth International Conference & Exhibition on Mass Mining, University of Chile, Santiago, pp. 535–550,
Gutenberg, B & Richter, CF 1944, ‘Frequency of earthquakes in California’, Bulletin of the Seismological Society of America, vol. 34, no 4, pp. 185–188.
Hanks, TC & Kanamori, H 1979, ‘A moment magnitude scale’, Journal of Geophysical Research, vol. 84, pp. 2348–2350.
Institute of Mine Seismology 2024, Vantage, computer software, https://www.imseismology.org/vantage
Lawrence, DA 1984, ‘Seismicity in the Orange Free State gold mining district’, in NC Gay & EH Wainwright (eds), RaSiM1, SAIMM symposium series no. 6, pp. 121–130.
Malovichko, DA 2017, ‘Assessment and testing of seismic hazard for planned mining sequences’, 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. 61–77,
Malovichko, D, Van Aswegen, G & Clark, R 2012, ‘Mechanisms of large seismic events in platinum mines of the Bushveld Complex (South Africa), The Journal of The Southern African Institute of Mining and Metallurgy, vol. 112, pp. 419–429.
Mendecki, AJ 2016, Mine Seismology Reference Book: Seismic Hazard, Institute of Mine Seismology, Kingston.
Ortlepp, WD 1992, ‘Note on fault-slip motion inferred from a study of micro-cataclastic particles from an underground shear rupture’, Pure and Applied Geophysics, vol. 139, no. 3/4, pp. 677–695.
Ortlepp, WD 1993, ‘High ground displacement velocities associated with rockburst damage’, in RP Young (ed.), RaSiM3, A.A. Balkema, Rotterdam, pp. 101–106.
Tennant, DE 2022, The Importance of Structural Modelling as a Key Input to Mitigate Seismic Geohazards in Deep Block Cave Mines, Using the Example of the Newcrest Cadia East Mine in New South Wales, Australia, master’s thesis, The University of Queensland, Brisbane.




© Copyright 2024, Australian Centre for Geomechanics (ACG), The University of Western Australia. All rights reserved.
View copyright/legal information
Please direct any queries or error reports to repository-acg@uwa.edu.au