New Methods for Automated Assessment GPR in Potash Mining

This project attempts to improve on a Ground Penetrating Radar (GPR) based assessment system that is used to evaluate the thickness of the salt layer in the roof of Potash mining rooms to enhance mine safety. The goal is to improve the operation of the algorithm by studying the GPR signatures of known geological structures which can affect the operation of the algorithm and hence the evaluation of the roof thickness in order to adjust for these structures. This work will involved signal processing and analysis and will examine actual GPR data from the mines as well as simulated data from a GPR simulation software tool.

Faculty Supervisor:

Raman Paranjape

Student:

Victor Okonkwo

Partner:

Nutrien

Discipline:

Engineering - other

Sector:

Mining and quarrying

University:

Program: