Hazard Assessment
Overview
The grid-based seismic hazard assessment app assesses the current seismic hazard for the mine based on the recent seismic history. The spatial distribution of -value and event density for the recent history is performed and used as input to a probabilistic evaluation of the spatial distribution of the seismic hazard. The results of this calculation are presented in space in several ways through iso surfaces and volumetric rendering.
The probabilistic distribution of the peak-particle velocity is calculated for minodes and seismic hazard map in terms of the probabilistic evaluation of the strong ground motion being produced. The minodes can be interrogated and the contribution of different sources evaluated.
Videos
The Hazard Assessment application provides a statistical description of the potential for large events within the rock mass and for strong ground motions at excavations. There are documentation pages below to describe each window in the app. There are also linked theory pages that dive deeper into how everything is calculated.
Data
- Seismic suite data
- Strong ground motion relationship - using PPV data
Key Learning Process
- Setup hazard calculations
- Hazard isosurfaces
- Evaluate hazard on excavations
- Track hazard over time
- Assess fault-related hazard
- Investigate frequency-magnitude relationships
- Check most important grid points contributing to a minode
- Sensitivity analysis
- Review Strong Ground Motion Relationship
Authors
Principal - Johan Wesseloo, Paul Harris, Stuart Tierney
Contributing - Daniel Cumming-Potvin, Audrey Goulet
Citation
Wesseloo, J, Harris, P, Tierney, S, Cumming-Potvin, D, & Goulet, A 2024, mXrap software app, Mine Seismicity - Hazard Assessment, Australian Centre for Geomechanics, Perth, https://mxrap.com/
Further Resources
Publications
Grid-based Hazard:
Wesseloo, J 2018, 'The spatial assessment of the current seismic hazard state for hard rock underground mines', Rock Mechanics and Rock Engineering, vol. 51, no. 6, pp. 1839-1862.
Wesseloo, J 2014, 'Evaluation of the spatial variation of b-value', The South African Institute of Mining and Metallurgy, vol. 114, no. October 2014, pp. 823-828. Wesseloo, J, Woodward, K & Pereira, J 2014, 'Grid-based analysis of seismic data', The South African Institute of Mining and Metallurgy, vol. 114, no. October 2014, pp. 815-822.
Wesseloo, J., 2020. Addressing misconceptions regarding seismic hazard assessment in mines: b-value, Mmax, and space-time normalization. Journal of the Southern African Institute of Mining and Metallurgy, 120(1), pp.67-80.
MUL:
Kijko, A & Singh, M 2011, 'Statistical tools for maximum possible earthquake magnitude estimation', Acta Geophysica, vol. 59, no. 4, pp. 674-700.
Lasocki, S & Urban, P 2011, 'Bias, variance and computational properties of Kijko's estimators of the upper limit of magnitude distribution, Mmax', Acta Geophysica, vol. 59, no. 4, pp. 659-673.
App usage:
Koulibaly, A.S., Jalbout, A., Saeidi, A., Audet, D., Martel, M., Tremblay, K. and Dikonda, R., 2024, September. Geoseismic strategy for monitoring seismic hazard at Westwood mine. In Deep Mining 2024: Proceedings of the 10th International Conference on Deep and High Stress Mining (pp. 219-238). Australian Centre for Geomechanics.
Disley, NV 2014, 'Seismic risk and hazard management at Kidd Mine', in M Hudyma & Y Potvin (eds), Deep Mining 2014: Proceedings of the Seventh International Conference on Deep and High Stress Mining, Australian Centre for Geomechanics, Perth, pp. 107-121, https://doi.org/10.36487/ACG_rep/1410_05_Disley
Morkel, I.G. and Wesseloo, J., 2017, November. The effect of sensor bandwidth limitations on the calculation of seismic hazard for mines. In Proceedings of the Ninth International Symposium on Rockbursts and Seismicity in Mines (pp. 42-49). Ediarte SA, Envigado, Columbia.