Shnorhokian, S, Mitri, HS & Moreau-Verlaan, L 2014, 'Analysis of microseismic cluster locations based on the evolution of mining-induced stresses', in M Hudyma & Y Potvin (eds), Proceedings of the Seventh International Conference on Deep and High Stress Mining
, Australian Centre for Geomechanics, Perth, pp. 709-722.
Numerical modelling is increasingly being used in the mining industry as part of the planning process. Its areas of application range from the estimation of in situ stresses at planned locations of underground facilities, to the effects of stope sequence alternatives on drift instability. In terms of the size of their study area, numerical models can range from a section of a given level to mine-wide dimensions, with an increase in complexity and input information requirements. Microseismic activities induced by mining operations can be studied using mine-wide numerical models that have been properly calibrated. In this paper,mining-induced seismicity at the Vale Garson Mine is examined between 2006 and 2008 with a numerical model constructed in FLAC3D. Two sets of microseismic activities are used as a basis of the study; events from the microseismic database with energy outputs greater than 100 kJ, and events that have resulted in rockbursts within developments, regardless of their energy outputs, for a total of 24 events. In the first phase of the study, the coordinates and location error of each event, as obtained from the microseismic database, are used to construct a location cube defining the maximum boundaries within which the actual coordinates must lie. Based on the 24 location cubes plotted, four microseismic clusters are identified. In the second phase, the mine-wide model is calibrated based on laboratory results of rock samples, borehole data of rock mass properties, and an in situ stress measurement point on 4900L (1,495 m). The historical stope sequence followed at the mine is replicated in the model from 2001 to 2008. Mining-induced stresses within the location cubes of two clusters are examined using the maximum shear stress, brittle shear ratio, and the continuous change in differential stress (CC-DS) when compared to pre-mining conditions. It is shown that all event location cubes studied register an abrupt increase in CC-DS some time before or during the occurrence of that event. In the final phase, the most microseismically active zone in one of the geological units is compared to relatively quiet zones in terms of CC-DS conditions. It is shown that theCC-DS values are mostly constant in the latter zone, while they typically undergo abrupt and sudden changes in the active one prior to microseismic events. Hence, a new method of analysis with the potential of predicting the location of microseismic clusters is introduced.
Abdul-Wahed, MK, Al Heib, M & Senfaute, G 2006, ‘Mining-induced seismicity: seismic measurement using multiplet approach and numerical modelling’, International Journal of Coal Geology, vol. 66, no. 1-2, pp. 137-147.
Bewick, RP, Valley, B, Runnalls, S, Whitney, J & Krynicki, Y 2009, ‘Global approach to managing deep mining hazards’, in M Diederichs & G Grasseli (eds), Proceedings of the Third Canada-US & Twentieth Canadian Rock Mechanics Symposium: ROCKENG09, University of Toronto, Toronto, paper 3994.
Brace, WF, Paulding, BW Jr & Scholz, C 1966, ‘Dilatancy in the fractures of crystalline rocks’, Journal of Geophysical Research, vol. 71, no. 16, pp. 3939-3953.
Brady, BHG & Brown, ET 2006, Rock Mechanics for Underground Mining, 3rd edn, Springer, Dordrecht.
Castro, LAM 1996, Analysis of stress-induced damage initiation around deep openings excavated in a moderately jointed brittle rock mass, PhD thesis, University of Toronto, Toronto.
Castro, LAM, Bewick, RP & Carter, TG 2012 ‘An Overview of Numerical Modelling Applied to Deep Mining’, in R Azevedo (ed.), Innovative Numerical Modelling in Geomechanics, CRC Press – Taylor & Francis Group, London.
Castro, LAM, McCreath, DR & Oliver, P 1996, ‘Rockmass damage initiation around the Sudbury neutrino observatory cavern’, in M Aubertin, FP Hassani & H Mitri (eds), Second North American Rock Mechanics Symposium, American Rock Mechanics Association, Alexandria, pp. 1589-1595.
Castro, LAM, Grabinsky, MW & McCreath, DR 1997, ‘Damage initiation through extension fracturing in a moderately jointed brittle shear rock mass’, International Journal of Rock Mechanics and Mining Sciences, vol. 34, no. 3-4, pp. 110e.1-e13.
Cook, NGW 1976, ‘Seismicity associated with mining’, Engineering Geology, vol. 10, no. 2-4, pp. 99-122.
Diederichs, MS 1999, Instability of Hard Rock Masses: the Role of Tensile Damage and Relaxation, PhD thesis, University of Waterloo, Ontario.
Gibowicz, SJ 1990, ‘Seismicity induced by mining’, Advances in Geophysics, vol. 32, pp. 1-74.
Gibowicz, SJ & Lasocki, S 2000, ‘Seismicity induced by mining: ten years later’, Advances in Geophysics, vol. 44, pp. 39-181.
Hasegawa, HS, Wetmiller, RJ & Gendzwill, DJ 1989, ‘Induced seismicity in mines in Canada – an overview’, Pure and Applied Geophysics, vol. 129, no. 3-4, pp. 423-453.
Hazzard, JF & Young, RP 2004, ‘Dynamic modelling of induced seismicity’, International Journal of Rock Mechanics and Mining Sciences, vol. 41, no. 8, pp. 1365-1376.
Hudyma, MR 2008, Analysis and Interpretation of Clusters of Seismic Events in Mines, PhD thesis, The University of Western Australia, Perth.
Itasca Consulting Group, Inc. 2014, FLAC3D: Fast Lagrangian Analysis of Continua in 3 Dimensions, Itasca Consulting Group, Inc., Minneapolis,
Jaeger, JC, Cook, NGW & Zimmerman, RW 2007, Fundamentals of Rock Mechanics, 4th edition, Blackwell Publishing Limited, Oxford.
Kijko, A & Funk, CW 1996, ‘Space-time interaction amongst clusters of mining induced seismicity’, Pure and Applied Geophysics, vol. 147, no. 2, pp. 277-288.
Maloney, S & Cai, M 2006, In situ stress determination – Garson Mine, MIRARCO Project report 06-015, Mining Innovation Rehabilitation and Applied Research Corporation (MIRARCO), Sudbury.
Marsan, D, Bean, CJ, Steacy, S & McCloskey, J 1999, ‘Spatio-temporal analysis of stress diffusion in a mining-induced seismicity system’, Geophysical Research Letters, vol. 26, no. 24, pp. 3697-3700.
Martin, CD & Chandler, NA 1994, ‘The progressive fracture of Lac-du-Bonnet granite’, International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts, vol. 31, no. 6, pp. 643-659.
Martin, CD 1997, ‘Seventeenth Canadian Geotechnical Colloquium: the effect of cohesion loss and stress path on brittle rock strength’, Canadian Geotechnical Journal, vol. 34, no. 5, pp. 698-725.
Martin, CD, Kaiser, PK & McCreath, DR 1999 ‘Hoek-Brown parameters for predicting the depth of brittle failure around tunnels’, Canadian Geotechnical Journal, vol. 36, no. 1, pp. 136-151.
McGarr, A, Simpson, D & Seeber, L 2000, ‘Case histories of induced and triggered seismicity’, in PC Jennings, H Kanamori & WHK Lee (eds), International Handbook of Earthquake and Engineering Seismology Part A, Academic Press, Waltham.
McKinnon, SD 2006, ‘Triggering of seismicity remote from active mining excavations’, Rock Mechanics Rock Engineering, vol. 39, no. 3, pp. 255-279.
Mendecki, AJ 1993, ‘Real time quantitative seismology in mines: keynote lecture’, in RP Young (ed.), Proceedings of the Third International Symposium on Rockburst and Seismicity in Mines, Balkema, Rotterdam, pp. 287‐296.
Mercer, RA & Bawden, WF 2005a, ‘A statistical approach for the integrated analysis of mine induced seismicity and numerical stress estimates, a case study – Part I: developing the relations’, International Journal of Rock Mechanics and Mining Sciences, vol. 42, no. 1, pp. 47-72.
Mercer, RA & Bawden, WF 2005b, ‘A statistical approach for the integrated analysis of mine induced seismicity and numerical stress estimates, a case study – Part II: evaluation of the relations’, International Journal of Rock Mechanics and Mining Sciences, vol. 42, no. 1, pp. 73-94.
Mikula, P, Heal, D, Hudyma, M & Potvin, Y 2008, ‘Generic seismic risk management plan for underground hardrock mines’, Phase Three Mine Seismicity and Rockburst Risk Management (MSRRM) Project, 2006-2008 Technical Report, prepared by Australian Centre for Geomechanics, Perth.
Spottiswoode, SM 1989, ‘Perspectives on seismic and rockburst research in the South African gold mining industry: 1983-1987’, Pure and Applied Geophysics, vol. 129, no. 3-4, pp. 673-80.
Vasak, P, Suorineni, FT, Kaiser, PK & Thibodeau, D 2004, ‘Hazard map approach using space-time clustering analysis of mine-induced microseismicity’, Proceedings of the Annual Canadian Institute of Mining, Metallurgy & Petroleum Conference – Mining North, Canadian Institute of Mining, Metallurgy & Petroleum, Westmount.
Verdon, JP, Kendall, J-M, White, DJ & Angus, DA 2011, ‘Linking microseismic event observations with geomechanical models to minimise the risks of storing CO2 in geological formations’, Earth and Planetary Science Letters, vol. 305, no. 1-2,pp. 143–52.
Wiles, TD, Lachenicht, R & van Aswegen, G 2001, ‘Integration of deterministic modelling with seismic monitoring for the assessment of rockmass response to mining: Part I – Theory’, in G van Aswegen, RJ Durrheim & WD Ortlepp (eds), Proceedings of the Fifth International Symposium on Rockburst and Seismicity in Mines, South African Institute of Mining and Metallurgy, Johannesburg, pp. 379-387.