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.

Sulfur deportment in ferronickel production via Rotary Kiln-Electric Furnace process

Pyrometallurgical processes have long been used for producing ferronickel alloy. Rotary kiln – Electric furnace (RKEF) is one of the most important technologies for producing ferronickel. The process involves partial reduction of the ore in the rotary kiln with the addition of fuels and reductants. During the process, some impurities present in the fuels and reductants are introduced to the rotary kiln product (clacine). The presence of impurities, especially sulfur would significantly affect physical and mechanical properties of product.

Advancing Unstructured Data Extraction and its Use in Geoscience

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.

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