The purple area (Figure 2) of activities in the flowchart indicates the critical data required for seismic risk management. With the exception of seismic data, all other data is generally available in some form at most mine sites. The advanced practice in data collection will have a wide range of data, properly organised in databases with good visualisation, facilitating easy access and regular uses in multiple analyses across all databases.
The purple area of activities in the flowchart indicates the critical data required for seismic risk management. With the exception of seismic data, all other data is generally available in some form at most mine sites. The advanced practice in data collection will have a wide range of data, properly organised in databases with good visualisation, facilitating easy access and regular uses in multiple analyses across all databases.
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[[1. Data collection – geological]]
rect 34 89 199 162 [[1._Geological|]]
rect 216 28 463 162 [[2._Mining|]]
<p style="margin-left: 40px;">[[1.1.1 Structural model – basic]]</p>
rect 483 29 735 160 [[3._Geotechnical|]]
rect 756 29 974 160 [[4._Seismic|]]
<p style="margin-left: 40px;">[[1.1.2 Structural model – advanced]]</p>
<p><strong><em>GAP #1; Seismic monitoring:</em></strong> Mines are limited in terms of the number of seismic monitoring sensors they can install due to cost, access and data generated by each sensor. Ideally, a very dense array of sensors would enable greater data precision and open new and improved techniques to manage seismic risks.</p>
<p>How to fil the gap: New development in hardware and automation of seismic data processing.</p>
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Latest revision as of 17:48, 10 June 2020
Data Collection
The purple area of activities in the flowchart indicates the critical data required for seismic risk management. With the exception of seismic data, all other data is generally available in some form at most mine sites. The advanced practice in data collection will have a wide range of data, properly organised in databases with good visualisation, facilitating easy access and regular uses in multiple analyses across all databases.