Use of inelastic continuum models to assess mine seismicity levels
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Authors: Séguineau de Préval, C; Ouellet, A; Andrieux, P Open access courtesy of:
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DOI https://doi.org/10.36487/ACG_repo/2465_76
Cite As:
Séguineau de Préval, C, Ouellet, A & Andrieux, P 2024, 'Use of inelastic continuum models to assess mine seismicity levels', in P Andrieux & D Cumming-Potvin (eds), Deep Mining 2024: Proceedings of the 10th International Conference on Deep and High Stress Mining, pp. 1165-1178, https://doi.org/10.36487/ACG_repo/2465_76
Abstract:
Inelastic numerical models are increasingly used to understand seismic data. Yet the stochastic nature of seismic events, the inherent simplification of the rock mass in numerical models and computational limitations make it unrealistic to ‘predict’ single seismic events. The global seismic response (i.e. seismic events within a given time frame and space frame) can, however, be correlated to numerical model outputs also compiled within a time frame and space frame. A tool is proposed to anticipate, from 3D inelastic continuum modelling results, time periods in the life of mine (LOM) susceptible to generating higher seismicity levels. This is achieved by processing the numerical results against catalogues of recorded seismic events, hence defining a ‘seismic response index’ (SRI). The SRI must not be considered a prediction tool for seismic events but rather an indication of whether a given mining sequence is likely to trigger an induced seismic response and, if so, how severe. The seismic response associated to historical mining which is used to establish the SRI is quantified based upon an aggregation of source parameters (total energy and local magnitude [ML]) from a collection of seismic events occurring after a stope blast and correlated with various numerical indicators extracted from a mine-scale FLAC3D simulation.
Keywords: continuum inelastic 3D modelling, seismicity, seismic response, deep mining, life of mine simulation
References:
Andrieux, P, Hudyma, M, O'Connor, C, Li, H, Cotesta, L & Brummer, R 2008, ‘Calibration of large-scale three-dimensional non-linear numerical models of underground mines using microseismic data’, First International FLAC/DEM Symposium, Minneapolis.
Beck, D, Levkovitch, V & Simser, B 2012, ‘Explicit discontinuum simulation for probabilistic forecasting of fault slip and rock mass seismic potential’, in Y Potvin (ed.), Deep Mining 2012: Proceedings of the Sixth International Seminar on Deep and High Stress Mining, Australian Centre for Geomechanics, Perth, pp. 373–387,
Beck, D, Reusch, F & Arndt, S 2007, ‘Estimating the probability of mining-induced seismic events using mine-scale, inelastic numerical models’, in Y Potvin (ed.), Deep Mining 2007: Proceedings of the Fourth International Seminar on Deep and High Stress Mining, Australian Centre for Geomechanics, Perth, pp. 31–41,
Cotesta, L, O'Connor, CP, Brummer, RK & Punkkinen, AR 2014, ‘Numerical modelling and scientific visualisation – integration of geomechanics into modern mine designs’, in M Hudyma & Y Potvin (eds), Deep Mining 2014: Proceedings of the Seventh International Conference on Deep and High Stress Mining, Australian Centre for Geomechanics, Perth, pp. 377–394,
Dehkhoda, S, Beck, D & Levkovitch, V 2023, ‘Numerically simulated rate of energy release and its correlation with measured seismic potency’, Proceedings of the ISRM 15th International Congress on Rock Mechanics and Rock Engineering & 72nd Geomechanics Colloquium – Challenges in Rock Mechanics and Rock Engineering, International Society for Rock Mechanics, Lisbon.
Diederichs, MS 1999, Instability of Hard Rockmasses: The Role of Tensile Damage and Relaxation, PhD thesis, University of Waterloo, Waterloo.
ITASCA 2023a, FLAC3D, computer software, version 9.0, Minneapolis.
ITASCA 2023b, Itasca Software Guide - FLAC - FLAC Theory and Background - Theoretical Background - Numerical Implementation - Energy Calculations, Minneapolis.
Jarufe, J, Wesseloo, J, Potvin, Y & Dhanér, C 2020, ‘Numerical modelling calculation of probabilistic seismic hazard in cave mining’, 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. 1225–1234,
Kalenchuk, KS 2022, ‘2019 Canadian Geotechnical Colloquium: Mitigating a fatal flaw in modern geomechanics: understanding uncertainty, applying model calibration, and defying the hubris in numerical modelling’, Canadian Geotechnical Journal, vol. 59, no. 3, pp. 315–329,
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, DA 2019, ‘Calibrating and testing of the forecasts of seismic hazard for planned mining sequences’, in J Wesseloo (ed.), MGR 2019: Proceedings of the First International Conference on Mining Geomechanical Risk, Australian Centre for Geomechanics, Perth, pp. 245–258,
Martin, CD 1993, The Strength of Massive Lac du Bonnet Granite Around Underground Openings, PhD thesis, University of Manitoba, Winnipeg.
Sellers, EJ, Kataka, MO & Linzer, LM 2003, ‘Source parameters of acoustic emission events and scaling with mining-induced seismicity’, Journal of Geophysical Research: Solid Earth, vol. 108, no. B9,
Tierney, SR & Morkel, IG 2017, ‘The optimisation and comparison of re-entry assessment methodologies for use in seismically active mines’, 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. 183–196,
Westley-Hauta, RL & Meyer, S 2022, ‘Characterisation of seismic activity at a kimberlite block caving operation in a complex geological setting in Quebec, Canada’, in Y Potvin (ed.), Caving 2022: Proceedings of the Fifth International Conference on Block and Sublevel Caving, Australian Centre for Geomechanics, Perth, pp. 1101–1120,
Woodward, K, Wesseloo, J & Potvin, Y 2017, ‘The spatial and temporal assessment of clustered and time-dependent seismic responses to mining’, 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. 157–171,
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