5G mobile networks will support a wide range of services beyond traditional voice and data services, such as augmented/virtual reality, autonomous vehicle control, and smart cities, which will open new revenue streams for the mobile network operators. Network slicing is an enabling technology for partitioning the physical network into multiple network slices, each tailored to […]

The overall objective of this project is to diversify the YWCA’s revenue stream in a strategic way that provides both sustainability and alignment with the organization’s values. Pursuing this project will raise questions such as; can the YWCA’s rental spaces compete with current rental space trends? What value will the project add to the downtown […]

The main objective of this project is to comprise a document that illustrates a recommended program framework for SGI to implement that will measure and monitor Corporate Claims. This will be accomplished through conducting research of industry best practices within the insurance sector and comparing and contrasting these practices with one another. Additionally, information will […]

This research work will establish a systematic workflow for analyzing transient equilibrium foamy oil phase behavior by coupling the CCEC tests, depletion rate and presence of water-in-oil emulsion which are seldom performed for heavy oil. It will provide a strong connection and comparison with previously studies which was conducted in the absence of water-in-oil emulsion. […]

COVID-19 has impacted almost every industry. Many businesses have been adversely affected as consumer’s habits have changed due to safety regulations, closures, and financial constraints. As the world is beginning to adjust to what is our ‘new normal’, Cadence has an opportunity for success. As Cadence is largely based online, they already have an advantage […]

This project works to classify contaminants found in residential curb-side recycling. This is done automatically using computer vision techniques. As recycling is tipped into the recycling truck, cameras take pictures of the recycling and computer vision software works to identify contaminants found in the load. With municipalities equipped with this fine-grained data, they will have […]

Precision.ai is building solutions to minimize chemical consumption while maintaining weed control through Intelligent UAV based application. Precision.ai has working survey drones that can fly a field, capture images and use AI to map weeds to be sprayed later. Precision.ai also has “See & spray” drones that can fly a field, identify weeds and spray […]

Brine water is often produced in mineral extracting processes. It can cause damage to soil and biota when being spilled during storage and transportation. The damage can last for decades. Even after a mineral extracting process is closed, the damage of soil structure and composition would still not be recovered. The long-lasting devastation may cause […]

Carbon capture and storage is a feasible, reliable and economic approach to reduce CO2 emission. Llydiminster area on the boarder of the provinces of Saskatchewan and Alberta is an area with significant heavy oil production and a large amount of CO2 resources from thermal operated heavy oil production facilities and oil upgraders. Deploying CCU technology […]

Our proposed study will research on the combination of vibration stimulation with cyclic solvent injection to reveal the associated interaction mechanisms between solvent and heavy oil, and to determine the optimal vibration frequency for heavy oil displacement recovery at actual reservoir conditions. This research project mainly focuses on the experimental tests of sandpack flooding with […]

Brine water is often produced in mineral extracting processes. It can cause damage to soil and biota when being spilled during storage and transportation. The damage can last for decades. Even after a mineral extracting process is closed, the damage of soil structure and composition would still not be recovered. The long-lasting devastation may cause […]

This project aims to provide Canadian petroleum companies a comprehensive big-data-analytics tool that concludes the essential controlling parameters which enable successful experimental and numerical studies on CO2-based solvent injection processes in post-CHOPS reservoirs. The proposed database includes relevant experimental research work that expand through multiple experimentation scales, as well as relevant numerical research work that […]