Application of automated core scanning and artificial intelligence to predict geometallurgical and geoenvironmental parameters of gold deposits

This project combines two cutting-edge technologies, automated core scanning and artificial intelligence (AI), to improve the efficiency and accuracy of mineral processing in the mill as well as mine waste management. The goal is to streamline the process and ensure that the minerals are processed in the most effective way possible. Then, the objective is to differentiate problematic mine wastes from inert ones to better manage them. The automated drill core scanning system can provide fast and detailed information about the minerals in the drill core samples from the underground. This information is critical in determining the composition and distribution of the minerals, which is crucial in selecting the best mineral processing methods and mine waste management options. The information is then fed into the AI algorithms, which analyze the data and determine the most efficient and effective way to process the minerals in the mill. This means that the mineral processing methods can be optimized in real-time, leading to better results and increased efficiency. With the ability to quickly and accurately determine the best processing method, this project can minimize waste, reduce processing time and energy consumption, and increase the overall success of the operation. This innovative approach to mineral processing and waste management is set to change the game and deliver improved outcomes for the mining industry.

Faculty Supervisor:

BenoÎt Plante;Bernard Giroux

Student:

Partner:

Agnico Eagle Mines Limited

Discipline:

Earth science

Sector:

Mining

University:

Université du Québec en Abitibi-Témiscamingue

Program: