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This project attempts to improve the interpretation of Ground Penetrating Radar (GPR) data collected during
active potash mining in the Saskatoon area Patience Lake “A” Zone stratigraphy, to map the salt-beam thickness of the roof for making more informed mine safety decisions. The aim of this project is to identify cofounding geological anomaly that exist within the back of the mining roof through analysis of the GPR data using techniques like signal processing and Artificial Intelligence (AI) on both actual GPR data from the mines as well as simulated data from a GPR simulation software tool.
Raman Paranjape
Nutrien
Engineering
Agriculture; Mining
University of Regina
Accelerate
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