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

- 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:
(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 LtdMLA: 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.