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Short vs Long Term Analysis

This window is designed to contrast short-term grid-based parameters with long-term cumulative parameters, enabling more informed interpretation of seismic response and rock mass behaviour.

For many parameters—such as stress proxies—the most relevant time frame is relatively short (for example, weeks to months). These short-term indicators are effective at highlighting current stress conditions and recent changes in the rock mass from production activities or large seismic events.

However, stress indicators alone can be misleading in areas that have already experienced significant deformation. In such cases, long-term cumulative deformation provides essential context, as heavily damaged regions may no longer respond to stress changes. The appropriate time scale for cumulative deformation is typically much longer and may extend to the full life-of-mine.

Interface and Time Scales​

To manage the complexity introduced by using two different time scales, this window is separated from the Standard Analysis window.

The date ranges for the analysis are defined in Short vs. Long Term Analysis → Panels → Short vs Long Dates.

Key interface features include:

  • Separate grid markers for long-term cumulative parameters, with independent controls for colour and scale
  • Clear labelling of parameters and controls that apply specifically to the long-term analysis
  • Long term events and isosurfaces series in 3D view.
  • By default, any parameter or control not explicitly labelled as long-term applies to the short-term time period

Side-by-Side Comparison​

The display can be split into multiple 3D views for direct comparison of short-term and long-term results. This allows users to view different parameters, time windows, or interpretations side-by-side, supporting more robust spatial and temporal assessment.

  • Split the screen by clicking the Split button on the top right corner.
  • Ctrl + Drag the 3D view tab in the newly created split window.
  • Independently manipulate each view.

This dual-timescale approach ensures that short-term stress indicators are interpreted within the appropriate long-term deformation context, improving the reliability of hazard identification and decision-making.