Automatic data selection, worker exclusion zones and an attempt to identify precursory activity in real time: Routine and research activities in seismology at Sibanye-Stillwater Ltd

The Southern African Institute of Mining and Metallurgy
R. I. L. Ferreira P. Lenegan R. Masethe
Organization:
The Southern African Institute of Mining and Metallurgy
Pages:
8
File Size:
1603 KB
Publication Date:
Jan 12, 2025

Abstract

Underground mining in high rock-stress environments can induce unanticipated dynamic rockmass deformation, posing a serious risk to the workforce. Data collected by seismic networks are imperative for the design-as-you-mine process. Often an inappropriate assessment of the seismic hazard is done when unnecessary data are included in analytical techniques, particularly short-term time frames. Depending on the methodology or application of data analysis and interpretation, some of the information may not be relevant and even detract from the objective. By using the spatial event clusters associated with active workplaces to define the shape and size of the polygons for data selection for subsequent analysis, a problematic subjective component can be eliminated. The mining of tabular reefs in South Africa, be they gold- or platinum group metals, is very extensive, and underground workplaces are often widespread. Production stoppages are very costly, especially for marginal mines, so there is just cause not to evacuate an entire operation’s workforce following the occurrence of a large mining-induced seismic event. A rationale based on the damaging peak particle velocities (PPV) of the past seismicity can exclude the unaffected underground personnel and allow a quick orderly withdrawal where required. Micro-deformation may precede rockbursting, which can occur on-shift close to the workface. A mine-wide array of geophones suitable for the accurate location and analysis of seismicity may not be able to detect these higher-frequency emissions. Inexpensive but fit-for-purpose accelerometers, providing real-time, continuous measurement of acoustic rockmass deformation near the workplace, integrated through underground and surface communications networks, are shown to record ‘rock-talk’, clearly distinguishable from the instrument background noise, which can be in the order of hours leading up to an imminent damaging seismic event.
Citation

APA: R. I. L. Ferreira P. Lenegan R. Masethe  (2025)  Automatic data selection, worker exclusion zones and an attempt to identify precursory activity in real time: Routine and research activities in seismology at Sibanye-Stillwater Ltd

MLA: R. I. L. Ferreira P. Lenegan R. Masethe Automatic data selection, worker exclusion zones and an attempt to identify precursory activity in real time: Routine and research activities in seismology at Sibanye-Stillwater Ltd. The Southern African Institute of Mining and Metallurgy, 2025.

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