Feature extraction using 3D data acquired with a mobile scanning system designed for underground mining

The uGPS Rapid Mapper™ is a laser system mounted on a mining vehicle which acquires 3D images of tunnels in underground mines. Currently, engineers use the images for mine design and operations. This research project will create two new applications for the images acquired by the system: mapping of the geology of the tunnel walls (identifying different rock types, minerals veins and fractures) and making a tally of man-made objects (such as rock bolts, pipes and ventilation tubes).

Selective recovery of antimony and arsenic from copper sulphide concentrate

Many copper deposits contain significant amount of arsenic and antimony and being overlooked because of it. These impurities are currently subject to smelters penalty. Development of an efficient technology for removal of these impurities and converting them as sellable products will make a number of deposits economic that are currently not being mined. The current research will assist in identifying the most efficient technology for treating such complex minerals and to meet the rising demand for clear copper concentrates.

Developing advanced ore sorting sensing systems for gold deposits

This research focuses on novel sensor-based algorithms for sorting rocks and categorizing them as good (valuable) and bad (worthless) rocks. The sensors in the sorter will “see” the rocks characteristics, whether it’s their color or atomic density or the desired element and send a command to a mechanical arm, for example, to separate the two types of rock from each other.

Cyanide-Free Leaching of Gold Using Iodine/Iodide based lixivinat

Iberian Minerals is a junior mining company, based in Canada. The Company recently acquired Mineworx Technologies, based in Vancouver, British Columbia and is now focused on various mining technologies. One such technology we are developing is an eco-friendly, non-cyanide based leach extraction for gold processing utilizing iodine as a complexing agent. The research and development undertaken will study the feasibility of a new approach to a sustainable process in gold mining, which will see an immediate positive ecological impact on pollution through the non-use of highly toxic cyanide.

Real-time ultra-deep mining geotechnical hazard prediction using statistical algorithms

This project aims to develop, and implement a code for real-time geotechnical hazard assessment and reporting for ultra-deep mining. This pilot project will be tested on a real mining site the Glencore’s Nickel Rim South Mine near Sudbury. This algorithm will represent a step-change in the capability to assess and manage geotechnical risk in mining, which will have particular value in the high-stress geotechnical operating conditions of ultra-deep mines.

Study the effect of magnetic liner on ball milling efficiency utilizing DEM modelling

HMR-Canada has introduced magnetic liners for grinding mills that will improve the mill performance and efficiency. Mill liners have two main functions. First they protect the mill shell from wear and deliver energy to the material by lifting the material in a trajectory that creates the energy needed to break the rocks.
Magnetic liners in specific add other functions to the liners. They attract scats and magnetic minerals that form a renewable protective layer, which would increase life span of liners and shell, easier and faster to install.

Geologically-constrained geophysical inversions of a kimberlite pipe: A new approach to diamond exploration

Diamond-bearing kimberlites are enigmatic deposits due to their complex volcanic plumbing systems and variable preservation. Diamond concentrations will vary greatly with deposit-type, however, it is often difficult to effectively distinguish between types (without drilling) due to alteration or poor preservation. Furthermore, while geophysical methods are well established and effective techniques for kimberlite exploration, they require independent and costly constraints (e.g., drill hole data) to limit the number of geologically plausible targets.

Deep learning for tooth wear monitoring of mining shovels

The main objective of this project is using deep learning algorithm to enhance the current state of the art tooth wear monitoring system used in mining shovels. Unlike the current approach, the proposed deep learning method operates by building a model from input images in order to make data-driven predictions. We use deep learning approach to identify the pixels that belong to the teeth-line in each video frame taken by camera located on the mining device.

CryoDrive: The effects that implementation of cryogenic engines would have on underground mining processes

Cryogenic engines, such as the Dearman engine, produce work and substantial cooling with zero emissions at the point of use, due to their liquid nitrogen ?fuel? supply. Background work has shown that technically, (power, turn down ratio, responsiveness, torque), there are few identifiable factors that would prevent this type of engine from being very effective if installed in underground mining vehicles.

Atmospheric Acid Emissions, Climate Change, and Coastal Salmon Stream Ecosystems in British Columbia - Year Two

Atmospheric acid emissions are increasing in north coastal British Columbia from increased metallurgical smelting, marine fossil fuel transport, and development of liquefied natural gas. Acid deposition can cause episodic acidification of streams when acidic compounds are flushed into streams after snowmelt and precipitation events over hours to weeks. Many salmon-bearing coastal streams are likely sensitive to episodic acidification, but these events are poorly quantified in western Canada.

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