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Omori Analysis Tools

Introduction​

The main window of this app is the Modified Omori Law window, which includes:

  • Model Fitting
  • Parameter Analysis
  • Vallejos Re-entry Analysis

Modified Omori Law Tab​

MOL - Model Fitting​

This window is dedicated to performing a best-fit of the Modified Omori Law to the events associated with a selected blast.

The MOL analysis window lets you fit responses to blasting with the Modified Omori Law.

MOL - Parameter Analysis​

The statistical and spatial distributions of the MOL parameters are assessed based on the saved parameters from the MOL best-fit.

The MOL results window shows the distribution of MOL parameters for fitted blast responses.

MOL - Valejos Re-entry Analysis​

The re-entry assessment is based on the work by Vallejos and McKinnon (2010) and can be used in real time assessment of re-entry or for the back analysis of historical data to develop re-entry protocols.

The re-entry analysis window utilises the methods described by Vallejos and McKinnon (2010) to compare the selected responses with the database of modelled responses. This can be used to identify abnormal responses.

Learning Exercises​

  1. Open the MOL Analysis window
    1. How many blasts have MOL parameters assigned (p, K, c)?
    2. Find a blast with more than 20 events that hasn't been modelled yet and fit the MOL
    3. Try to do at least 5 fits
  2. Open the MOL Results window
    1. Plot the all blasts with a modelled MOL in 3D
    2. Colour by p-value, is there a pattern in space?
    3. Colour by K-value, is there a pattern in space? Does it seem higher where you have good system sensitivity?
    4. Tick just your three most recent blasts with a modelled MOL, where do they sit on the overall distributions of p and K? About average? Towards the top? Towards the bottom?
  3. Open the Re-entry Analysis window
    1. Tick a recent blast
    2. When did it start to move horizontally through the percentile curves?
    3. When did it drop below the Tmc line?
    4. When did it drop below the Background line?

Additional Resources​

Blasting​

Blast Editor​

0:03:45

You will need blast data to use this app. This video shows you how to manage your blast information.

References​

Vallejos, J.A. and McKinnon, S.D. (2010), 'Temporal evolution of aftershock sequences for re-entry protocol development in seismically active mines'. In: Van Sint, J.M. and Potvin, Y. (eds). 5th International Seminar on Deep and High Stress Mining, 2010 Santiago, Chile. Australian Centre for Geomechanics, pp. 199-214.

Morkel, IG & Rossi-Rivera, P 2017, ‘The implementation and quantification of the Vallejos and McKinnon re-entry methodology', in, Proceedings of the Eighth International Conference on Deep and High Stress Mining, 2017, Australian Centre for Geomechanics.

Tierney, S & Morkel, IG 2017, ‘The optimisation and comparison of re-entry assessment methodologies for use in seismically active mines', in, Proceedings of the Eighth International Conference on Deep and High Stress Mining, 2017, Australian Centre for Geomechanics.