Development of a Novel Marine Icing Prediction Model

All shipping and marine activity is subject to risks, such as flooding and capsize in extreme seas. Shipping in cold winter conditions is subject to additional risks, such as ice accretion on the topsides, which in extreme cases can cause capsize. The catastrophic capsize of smaller vessels due to icing is still taking place, with the subsequent loss of life (Arctic Operations Handbook 2013). The consequences of a capsize in a remote area has a large financial and regulatory impact as well as subsequent environmental damage to the ice prone areas.

Innovative Designs in Methane Sourcing

The purpose of this project is to change the way piplelines are sourced for potential leaks. Currently, gas sniffers that detect gas near the pipeline monitor subsea pipelines. However, these sniffers do not differentiate between gas types and are unable to determine the source of the detected gas. Therefore, sniffers are unable to confirm if the detected gas is thermogenic methane leaking from the pipeline or an alternative nearby gas. This can lead to costly false positives that make the process inefficient.

Numerical Simulation and Experimental Validation of a Large Scale Industrial Biochar plant

Slow pyrolysis is a process to convert biomass residues to valuable biochar products, which are used in agricultural, wastewater treatment, animal feed, carbon sequestration etc. IRSI focused on identifying optimal pathways for converting biomass into high quality biochar with maximum energy efficiency and minimal environmental degradation. This project focusses on modelling and simulation of a large-scale biochar reactor in order to enhance the efficiency of pyrolysis processes and increase the reliability of biochar products for the global market place.

Advanced Analysis Setup of Next Generation XRT Algorithms

The research project will include a study using dual energy X-ray transmission (DE-XRT) technology to investigate how to improve the current DE-XRT analysis. To conduct the research, large amounts of samples will be taken from different types of deposits and operations. The research will evaluate various data mining methods to generate algorithms using the data from DE-XRT technology and hence improving the sorter efficiency. The findings from research can help benefit SDE by providing solutions to improve algorithm generation using DE-XRT technology and benefit the mining industry.

Data Analytics for Social Network Marketing

Influencer marketing is a new and innovative way for brands to target their customers on social media in a highly accurate and trusted way. Brand partners work with hundreds of influencers over a period of time, which is called a campaign, to create marketing material. This marketing material is shared by both the brand and influencer to the audience of the influencers, who are followers on social networking platforms such blogs, YouTube, Instagram, and Facebook. A key challenge in influencer marketing is to identify influencers with the greatest social networking reach.

Understanding DETA in the Strathcona Tailings Area

Glencore is considering the use of DETA (diethylenetriamine), a mineral processing reagent, to improve process performance in Strathcona Mill, located near Sudbury, Ontario. DETA forms soluble complexes with nickel and copper ions, and can cause the concentration of these metal ions to exceed the value permitted in the final effluent.

Automated Condition Rating of Power Transmission Infrastructure

Increasing dependence on electricity has given an extra weight to the importance of power transmission line reliability. Service reliability can be improved with proper monitoring techniques and maintenance procedures. Improved condition assessment techniques can help avoid unexpected component failures of power transmission lines by assisting in assessment of current physical state of the system or components compared to its original condition.

Creating shared value with communities in the early Mine life-cycle: The case of Erdene Resource Development Corporation in Mongolia

There is a significant body of research on Corporate Social Responsibility in the mining sector. However, little empirical data exists about what works well across stages of the mine life cycle, particularly during early exploration.

Upgrading of heavy and high-contaminant Hydrofaction™ Oil, to fuels blendstock with the use of Catalytic Steam Cracking

The Project’s objective is to continue the upgrading work executed in the previous MITACS Converge project with a larger focus on more challenging biocrude oils such as heavy fractions, high viscosity, high nitrogen, high ash oils that are produced from feedstocks such as “feed gate residues” in the form of manures, biosludges and organics from municipal waste. The performance objective remains to optimize and scale up the upgrading of Hydrofaction™ Oil to blendstocks for transport fuels.

Patient localization and identification using a Bluetooth-based sensor network

In general, hospital based medical personnel usually have little or no objective data describing an individual patient?s pre, intra and post-operative (perioperative) movement and activity. We are developing low cost and easily deployable technologies to monitor patient activity patterns and the associated intensities. We want to objectively identify medically important indicators of normal versus abnormal postoperative evolution.