Unstructured data refers to data that is present in reports, web pages, newspapers and other media. Such data is the most common data that we see around us and yet no modern tools exist to extract information from it. In this project we will develop techniques to extract the data and apply it to geoscientific reports in order to aid in the discovery of new mines and other geoscience applications.
Wastes produced by mines include tailings and waste rock. Tailings are crushed rock produced by mineral extraction and are typically disposed as slurry. Waste rock is coarse material excavated to create mine openings that have no economic value. These wastes are often stored on the surface in tailings impoundments or waste rock piles and they pose important environmental and geotechnical risks. Backfilling the openings of underground mines with treated wastes has become a common practice.
Shear zone-hosted, or orogenic, gold deposits are a significant mineral resource in the Superior Province of Canada. This study will investigate the nature and genesis of gold mineralisation in the Red Lake area of the Uchi subprovince. Recent exploration by Bounty Gold Corp. has identified Au mineralisation in the Laird Lake area close to the giant deposits of Red lake. This study will characterise the nature and tectonic setting of the host rocks to the mineralisation in order to provide a framework for subsequent studies into the Au-bearing fluids themselves.
Destress blasting is a rockburst control technique where highly stressed rock is lightly blasted to reduce stress. This technique is currently used in Canadian mines to reduce stresses around mine production openings. In this research project, the intern will build a numerical model to simulate the destress blasting that will be undertaken at a Canadian nickel mine to extract a highly stressed ore pillar. The aim of the numerical modelling analysis is to determine the stresses in the ore pillar after the destress blasts and then to evaluate the risk of rockbursts and the safety of mining.
The goal of this project is to create a statistical model to forecast the future price of steel, which will rely on sector indexes and material prices. We will identify which variable has the most explanatory power. Multiple models will be created to identify the one that performs best. In order to increase the accuracy of the information generated by the model, risk forecasting will be added. The resulting model is meant to aid internal buyers in decision making. As our partner buys over 100 M USD worth of steel annually, an improvement in profits will be of great benefit to him.
E-waste is one of the fastest growing waste streams in the world in terms of volume and its environmental impact on the planet. Printed circuit boards represent a major portion of the e-waste that contains higher values. The metal fraction from the circuit boards is extracted for its value while the non-metal fraction is often landfilled. The proposed research looks into the disposal guidelines for landfills and incineration and quality requirements for being used as a filler and secondary materials source will also be studied.
Have you ever wondered what is underground below your feet? In this project, the intern will work at CRM Geotomography Technologies on developing a compact detector that will make it possible to construct 3D images of underground structures. The concept is similar to an X-ray, except that naturally occurring particles called atmospheric muons are used instead of electromagnetic waves. This technique is useful whenever it is necessary to scan volumes of underground earth.
The main purpose of this research project is to integrate wind power with cryogen production, which could be one of the most low-carbon and economic methods to generate and store energy. As it can be transported and stored relatively easily, the cryogen becomes an energy vector, like a fuel, that can be used to transport energy from one place to another. The major motivation for the development of this concept comes from the need for high volumes of cold ventilating air for deep mines.
The proposed research focuses on imaging spectroscopy of geological materials encountered at mineral deposits. Imaging spectroscopy (also known as hyperspectral imaging) in the geosciences traditionally utilizes airborne or spaceborne platforms but ground-based studies at outcrop and smaller scales are becoming more common. This technique collects reflectance data as images, and allows quick analysis of specific mineralogical properties that are visually undetectable (e.g., phyllosilicate mineralogy).
This project aims at exploiting existing geophysical and petrophysical data to develop an integrated geological model of the 5-8 block of the Raglan mine in Northern Quebec. In contrast to previously conducted analysis of individual datasets, a weighted stochastic inversion of combined datasets will be conducted. Determining the synergies between the diverse rock parameters will lead to improved knowledge about the geometry and material properties of the 5-8 block. Ultimately, this will result in enhanced metal recovery and economic benefits to the Raglan mine and the greater community.