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Microseismic tools for the analysis of the interaction between open pit and underground developments
conference contribution
posted on 2010-01-01, 00:00 authored by J Reyes-Montes, Bre-Anne SainsburyBre-Anne Sainsbury, W Pettitt, M Pierce, R P YoungThe transition from surface to underground mining presents a series of technical and operational challenges,
in particular those arising from the interaction between the cave and the overlying pit. Seismic monitoring
provides a unique means to obtain near real-time information about the development of the fracturing
process induced by the mining operations. This paper presents the analysis of temporal, spatial and source
size patterns in the seismicity recorded during undercutting and production at the Palabora Mine leading to
slope failure in the open pit above, and relates these results to full-scale analysis of the rock mass behaviour
in three-dimensional numerical models. Based on the application of the techniques described herein, it is
shown that the back analysis of the seismic data provides a prediction technique that could now be employed
during the planning stages of a mining operation. It is hoped that by employing these new techniques it
would be possible to incorporate results from predicted fracture network behaviour into engineering designs
in similar future mining operations and thus provide a means to predict and mitigate against large scale
failure as observed at the Palabora Mine.
in particular those arising from the interaction between the cave and the overlying pit. Seismic monitoring
provides a unique means to obtain near real-time information about the development of the fracturing
process induced by the mining operations. This paper presents the analysis of temporal, spatial and source
size patterns in the seismicity recorded during undercutting and production at the Palabora Mine leading to
slope failure in the open pit above, and relates these results to full-scale analysis of the rock mass behaviour
in three-dimensional numerical models. Based on the application of the techniques described herein, it is
shown that the back analysis of the seismic data provides a prediction technique that could now be employed
during the planning stages of a mining operation. It is hoped that by employing these new techniques it
would be possible to incorporate results from predicted fracture network behaviour into engineering designs
in similar future mining operations and thus provide a means to predict and mitigate against large scale
failure as observed at the Palabora Mine.