Carbon nanofiber is a material with extraordinary mechanical, thermal, electrical, and chemical properties. It has applications in a wide variety of industries including transportation vehicles, concrete, electronic devices, textiles, ink, coatings, lubricants, tires, and agriculture. Yet, the production of carbon nanofibers is an expensive and energy-intensive process. This project targets to develop Carbonova cycle, a […]

In the last decade optimization is expanded in many applications from food production to sophisticated applications such as engine fuel efficiency. In the proposed package, it is tried to apply optimization techniques along with physics based analytical and semi-analytical methodologies to create a compelling framework which can help thermal-process based oil industry to reduce their […]

Safety critical software systems such as those that control nir navigntion nre subject to very high standards of quality. They need to explicitly provide system requirements nnd make sure there nre enough test cases that nssure an acceptable level of quality, per requirement. However, with the current fnst pace ofsollworo development, sometimes the program and […]

The greatest river in Calgary, Bow River, is an important source of water for industrial, agricultural and living activities for city and people of Calgary. With the incredibly fast of urbanization in Calgary, the natural landscapes are gradually replaced by impervious areas, such as urban streetscapes, houses and buildings. While the amount of water that […]

The Project’s objective is to continue with development and optimization of the promising HTL biocrude upgrading approach that has been executed during the previous MITACS Converge/Accelerated project. The activities are going to be focus on in-situ hydrogen production to limit external cost of hydrogen and process optimization for the obtention of Jet and Marine fuel […]

Autism spectrum disorder (ASD) is a kind of chronic neurodevelopmental disorders that detrimentally affect the behavior and development in children. There is a tight need for efficient treatment. Scientific evidences have shown that the gut microbiota as well as their metabolites may mediate the responsiveness to changes in diet (e.g. ketogenic diet). However, clinically relevant […]

The aim of this research and development project for the intern student is to assist in validation tests (both in-vitro and in-vivo) of a GI sampling capsule device being developed by the organization and translate the testing results and the new knowledge to technical documents for the potential customers and partners of the organization. In-vitro […]

Oil recovery from underground reservoirs with small pore-scales can have environmental impacts that can be minimized with prior knowledge of the physics behind fluids/fluids and fluids/rock interaction and the type of fluid to employ for oil extraction. Currently, these analyses can be performed in laboratories at reservoir conditions with rock samples in large pressurized vessels […]

This project will involve the development and validation of simulation models suitable for studying, designing and implementing a small-sized power system with reduced fuel expenditure and carbon (iv) oxide emissions, for oil and gas extraction activities. The successful implementation of the project will further Audacious Energy Corp.’s knowledge to launch and test a Minimum Viable […]

The extraction, storage, conveyance, and refining of petroleum hydrocarbon liquids (or nonaqueous phase liquids (NAPLs)) often result in their accidental release into the environment. Consequently, NAPLs will travel into subsurface soils and may enter groundwater, further exacerbating the extent of contamination. Aside from being energy-intensive, disruptive of the environment, and incur treatment durations that may […]

In this study, an integrated model will be developed to forecast oil and gas productions in the next 20 years for Canadian basins. Using the output of the model, supply costs estimation, economic impact analysis and GHG emissions calculation will be conducted over the forecast period from 2020 to 2040. The developed integrated model will […]

The aim of the proposed project is to develop a machine learning classification that predicts energy from turbulent flow atmospheric systems. Being able to predict turbulent flows is of great importance since the atmosphere features strongly in the invisible infrastructure of aviation from established navigation waypoints to conduit airways – the highways in the sky. […]