Project Details
Grant Program
Collaborative Research Grants Program 2020-2022
Project Description
The purpose of this research is to develop a real time seismic wave velocity tracking artificial intelligence tool to enhance seismic event source location accuracy in underground mines. In underground mining, the conditions of the rockmasses and voids are constantly changing, and hence the wave velocities through these media keep changing. Seismic monitoring systems require a given velocity in the source location algorithms to determine event source locations. Currently, the input seismic velocities in seismic monitoring systems are fixed, when in reality, they should be changing to reflect the changing ground conditions due to mining activities. Because the accuracy of event sources depends on the input velocity, an input velocity that does not reflect the ground condition at a given time will result in inaccurate source locations. This research aims at solving this problem to improve mine safety and productivity. Physical laboratory scale models and artificial intelligence will be used. The laboratory results will be validated with field trials.
Short title | Real time seismic wave velocity tracking |
---|---|
Acronym | RSWVT |
Status | Finished |
Effective start/end date | 1/1/20 → 12/31/24 |
Keywords
- Real time
- Rockburst and sesimicity
- Underground mining
- Artificial Intelligence
- Source locations
- Laboratory tests
- Physical models
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