Authors: Baig, AM; Bosman, K; Urbancic, TI

Open access courtesy of:

DOI https://doi.org/10.36487/ACG_rep/1704_18_Baig

Cite As:
Baig, AM, Bosman, K & Urbancic, TI 2017, 'Temporal changes in stress state imaged through seismic tomography', 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. 269-273, https://doi.org/10.36487/ACG_rep/1704_18_Baig

Download citation as:   ris   bibtex   endnote   text   Zotero


Abstract:
In order to understand how the rock mass evolves with extraction in the particularly highly stressed environment of a sill pillar in a hard rock mine in North America, we investigate the utility of seismic tomography as an interpretive tool. We use a rich dataset of blasts to highlight the compressional wave variations in the rock. To understand the optimal spatial resolution, we use checkerboard tests with our input ray path distributions. Although there are areas within the sill pillar that are prone to smearing, we are able to resolve subtle variations in velocity structure. By considering different time periods, we image temporal changes in seismic velocity that we relate to the stress state and damage in the rock. Specifically, we consider data recorded during three sequential time intervals, each consisting of three months of data, associated with the excavation of a stope during the start of the second interval. We observe a high-velocity anomaly in the first time interval that is located to the edge of the future stope. After mining, the high-velocity regions migrate to the other side of the stope and then disperse to the edges of the resolvable area. Equating highvelocity anomalies with high stress gives us the ability to characterise the evolving stress state in the mine and potentially an approach that can be used to avoid hazardous situations.

Keywords: sill pillar, high stress mining, seismic tomography

References:
Crowley, JW, Baig, AM & Urbancic, TI 2015, ‘4D tomography and deformation from microseismic data’, Proceedings of the 85th Annual Meeting of the Society of Exploration Geophysics, New Orleans, Louisiana.
Ma, X, Westman, EC, Fahrman, BP & Thibodeau, D 2016, ‘Imaging of temporal stress redistribution due to triggered seismicity at a deep nickel mine’, Geomechanics for Energy and the Environment, vol. 5, pp. 55–64.
Maxwell, S & Young, R 1996, Seismic imaging of rock mass responses to excavation, Elsevier.
Mercier, J-P, de Beer, W, Mercier, J-P & Morris, S 2015, ‘Evolution of a block cave from time-lapse passive source body-wave traveltime tomography’, Geophysics, vol. 80, pp. WA85–WA97.
Rawlinson, N & Sambridge, M 2003, ‘Seismic traveltime tomography of the crust and lithosphere’, Advances in Geophysics, vol. 46, pp. 81–198.
Rawlinson, N & Sambridge, M 2005, ‘The fast marching method: an effective tool for tomographic imaging and tracking multiple phases in complex layered media’, Exploration Geophysics, vol. 36, pp. 341–350.
Silver, PG, Daley, TM, Niu, F & Majer, EL 2007, ‘Active source monitoring of crosswell seismic travel time for stress-induced changes’, Bulletin of the Seismological Society of America, vol. 97, pp. 281–293.
Westman, E, Luxbacher, K & Schafrik, S 2012, ‘Passive seismic tomography for three-dimensional time-lapse imaging of mininginduced rock mass changes’, The Leading Edge, vol. 31, pp. 338–345.
Young, R & Maxwell, S 1992, ‘Seismic characterization of a highly stressed rock mass using tomographic imaging and induced seismicity’, Journal of Geophysical Research, vol. 97, pp. 12361–12373.




© 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