Tribo-electrostatic Separation of Potash

Over two years a post-doctoral fellow will investigate the electrostatic separation of potash. This will be accomplished experimentally by triboelectrically charging different materials, with and without conditioning agents, and then testing different separation techniques. Separation techniques will include electrostatic separation and a fines removal process.

Orebody Heterogeneity Assessment for Sensor Based Sorting

Teck Resources Limited is searching for a method to characterize and quantify the heterogeneity of ore based on numerous parameters. Naturally, when characterizing an ore body’s heterogeneity, the variability in the deposit can contribute towards the sortability of the deposit.
The main objective of this research is to investigate a method to quantify the sortability and ore heterogeneity in a systematic manner with clear ranking criteria.

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.

Process Optimization of Electrokinetic Transport Phenomena for Remediation of Oil Sands Tailings

The research project would involve developing and executing an experimental program to optimize the application of electrokinetic dewatering technology for oil sands tailings called EKS-DT developed by ElectroKinetic Solutions (EKS). This research will involve conducting a series of high priority experiments for process optimization and innovation. Three main research categories involving electrokinetic tailings consolidation modelling, optimum electrode design and optimum power sequencing have been identified as crucial areas for improving the technology.

Improving Resource Estimation and Reconciliation with Machine Learning

Models quantifying the grade and tonnage of mineral deposits form the basis of important and costly decisions for planning, optimization and extraction of a natural resource. Models are initially generated from sparse exploration sampling; however, information is continuously collected until resource extraction. Predicted values that reconcile well with true values following extraction instill confidence in the production forecasts.

Variations of Redox conditions across the Cambrian-Ordovician GSSP (Green Point Formation) in western Newfoundland (Canada): implications from the Trace element, Mo-, U-, C-, S- and N-isotope signatures

The specific investigation of the redox conditions of the Green Point Formation sediments will allow modelling the paleoceanographic conditions on a global basis particularly because the investigated formation is the Cambrian?Ordovician GSSP, which adds to the value of the contributions of the study to understanding the global distribution of source rocks around that time interval.

Optimizing Chemical Usage at the Barkerville Gold Mine

The Barkerville Gold Mine will host an intern to conduct a study to optimize chemical usage to extract gold and treat effluents. The gold mine obtains ore from a range of deposits with different mineralogical properties. The intent is to minimize chemical use and therefore reduce effluent treatment requirements thereby reducing overall environmental liabilities and increasing productivity.

Investigation of a Vertical Roller Mill for Metal Ore Processing

This research focuses on dry comminution technologies and specifically on the Vertical Roll Mill. Goldcorp recently announced a new initiative referred to as H2zero with the goal of reducing water usage in their mining operations by 80 to 100%. The study will compare energy usage in comparison to conventional wet ball mill grinding. The study will investigate the effect of dry comminution with the VRM on downstream flotation by comparing the effects of physical properties of the ground product and surface chemistry in comparison to wet grinding in ball mills.

Comparing chemical suppressants for the control of fugitive dust emission on mine hauls roads

Dust generated from haul roads poses a health and safety threat to mine sites. Traditionally, water has been applied on mine haul roads to control the dust. Using chemical surfactants to form a solution of chemical suppressants has been considered as a more effective method to control fugitive.

Machine learning applied to drilling in open pit mines

The project involves identifying changes in mineralization during the drilling of the blast holes. During drilling, an experienced driller is able, to a certain extent, to detect signals that indicate that a zone change is occurring: vibration in the cabin, rotation rate, etc.