Oil sands tailings, a mixture of clay, sand, water and residual oil, is a by-product from the oil sands mining and extraction process in Alberta, Canada. This mixture is hydraulically transported and stored in engineered structures built with coarse sands separated from the oil sands tailings. The dimensions of these structures depend on the storage capacity retaining oil sands tailings. The structural integrity of these structures is governed by the strength of the coarse sands or their liquefaction potential.

With increasing international competition and environmental pressures, Canadian oil sands producers must develop new technologies to more competitively deliver their product to market that have lower greenhouse gas (GHG) emissions. Flow Control Devices (FCDs) are one such technology. These devices are placed in the injection and production wells and enable more efficient access to the reservoir. The result is improved economics and thermal efficiency which directly is tied to GHG emissions.

Carbon Capture and Storage is projected to play a key role in achieving the federal government’s target of reducing Canada’s greenhouse gas emissions to net-zero by 2050. CMC Research Institutes, in partnership with the University of Calgary, has established the Containment and Monitoring Institute Field Research Station (FRS), a state-of-the-art testbed facility to develop, test and validate monitoring technologies, and to accelerate innovation and commercialization of geological carbon storage domestically and internationally.

This research will develop a novel freeway control approach for the era of co-existence of connected and autonomous vehicles (CAVs) and human-driven vehicles (HDVs). Fully connected and autonomous vehicles can navigate roads without a human driver and connect and interact with other vehicles, roadside infrastructure, and their environment. It is anticipated that the technology will be made available to consumers in the very near future. However, generic market adaption and phasing out of the current vehicle fleet is likely to take years or even decades.

Hepatitis B virus (HBV) infection can lead to chronic infection (CHB) in unvaccinated children having no cure. This has devastating consequences such as liver cancer. Studying the early kinetics of infection will yield a better understanding of progression to chronicity. A certain species of woodchucks (groundhogs), infected by the related woodchuck hepatitis virus, form an excellent model to study HBV. The current proposal aims to observe the kinetics of WHV infection and interaction of virus with host cells of the woodchuck.

Bovine respiratory disease (BRD) is the most important disease of feedlot cattle, which remains the leading cause of disease-induced economic loss in the Canadian cattle industries. BRD is induced by bacterial pathogens including the Gram-negative (G-) bacteria Mannheimia haemolytica, Pasteurella multocida, and Histophilus somni. Even with current prevention and control measures targeting associated pathogens, the clinical impact of BRD continues and the resulted morbidity and mortality are still high.

A clinical pathway for primary care Obstructive sleep apnea (OSA) management has been developed in Calgary to address specific barriers to OSA management by primary care physicians (PCPs) that were identified in a series of stakeholder consultation activities. This study’s primary goal is to maximize use of the clinical pathway to support evidence-based primary care OSA management. The results of this study will support more effective implementation of the pathway in the Calgary Zone and facilitate its scale and spread across Alberta.

Methane is a potent greenhouse gas (GHG) with global warming potential estimated at between 28 and 36 times that of carbon dioxide over 100 years. In the upstream natural gas supply chain, there are many components all of which suffer from methane and other GHG emissions including drilling and completion operations, production and processing operations, and storage and local transport operations.

Educators and Entrepreneurs often live in two separate worlds, but the reality is, many entrepreneurs cross into the role of educators when they begin offering learning experiences to their customers. This research project, Bridging the Gap Between Education and Entrepreneurship, aims to address the problem of subject matter experts not knowing how to turn their knowledge into digestible learning experiences for participants.

The proposed research focuses on optimizing the partner organization’s innovative passive solar greenhouses. We propose a distributed learning and automation system (DLAS) that collects sensing data from multiple greenhouses. The DLS learns an optimal predictive model by aggregating the local models from multiple edge devices. The DLAS keeps improving the model as more sensing data is available. The predictive model will be used for automating the control of multiple greenhouses.