Development of a UV-LED disinfection system for ice-machines.

Contamination by microorganisms is a well-known problem for commercial ice machines. Frequent applications of sterilizing chemicals are necessary to keep the ice machines sanitary, a costly and time-consuming process. The sources of this contamination are microorganisms associated with the water used as the source for ice production, the incoming air to the ice machine, and the interior surfaces of the ice machine. Disinfection of contamination sources using ultraviolet (UV) radiation inactivates microbes prior to their establishment inside the ice machine.

Characterization of Natural Organic Matter from Various Sources

BioLiNE Corporation is a technology innovator, focused on providing advanced, science-based solutions for sustainable crop production. BioLiNE® products have consistently demonstrated superior results helping farmers grow healthier crops with higher yield and exceptional quality. One of the active ingredients in some of our products is fulvic acid, an extremely complex organic acid produced in nature through the process of humification.

Development of novel catalytic systems for green-house gas abatement

The use of fossil fuels for energy has led to the significant emission of greenhouse gases from the stationary and automobile sources. Methane (CH4) is an abundant source of fuel found in large quantities in natural gas reserves or produced synthetically is an alternative fuel for motor vehicles, large track transportation, marine application because of its low carbon emission per energy produced. However, methane is a potent green house gas and needs to be fully converted to CO2 to prevent its release into the atmosphere.

An Integrated model of Geomechanics and a Multiporosity Reservoir Simulator to Investigate Improved Recovery Techniques in Shale Reservoirs-Part 2

Shale reservoirs have become a very important source of hydrocarbons, especially in North America. Shales are rocks with very low permeability and therefore, produce the hydrocarbons stored in them is difficult. In order to do it, oil companies have to inject high pressurized fluids to break the rock. But, by using this unique strategy, most hydrocarbons are being left in the subsurface. This work aims to use mathematical and numerical models to investigate different methods that can lead to recover a bigger portion of the hydrocarbons stored in shale reservoirs.

Development of a highly accurate machine learning algorithm constrained by well-log data and its application in Lithological classification

The drilling success rate is the most important goal for any oil/gas company. For a start-up company, any failure in drilling will be a disaster. To this end, the Petro-Lin Energy Corp. wishes that through the combination of mature hydrocarbon prediction techniques and new research results such as machine learning, the success rate of hydrocarbon prediction, the theoretical basis for well placement can be provided in Roncott oil-field, which will improve the success rate in drilling.

Synthesis of CO2-Based Polymers for Carbon Capture

Carbon dioxide is produced from the combustion of fossil fuels and as a by-product of many chemical processes. The increasing concentration of CO2 in the atmosphere has now been decisively linked to global climate change. The use CO2 as a carbon-building block has attracted much attention due to its low cost, ease availability, and its potential to substitute fossil fuel-based feedstocks, in addition to the clear positive environmental effect of removing it from the atmosphere.

Pore Pressure Prediction, Hydraulic Fracture Propagation and Huff-and-Puff Gas Injection in Multiple-Porosity Shale Reservoirs

Shale reservoirs store gigantic volumes of petroleum (oil and gas). However, because of the complex nature of the reservoir rock, it is difficult to recover the oil and/or gas stored in shales. Under normal conditions, it is possible to extract only as much as 10% of the resources in place, thus leaving behind a huge potential that promises to satisfy the energy needs of Canada for several decades.

Develop data analysis software for improving operation management in making drinking water for small and rural communities

The project is to develop a middleware system for improving drinking water management system. The middleware integrates multiple data sources in addition to the real-time network data, including information of weather from satellite/ radar and water quality of surface water from remote sensing and then analyze them. It's smart algorithms will predict and prioritizes events depending on the severity of the problem.

Making Stronger and Lighter Wallboard

The ultimate goal of this project is to produce stronger and lighter gypsum wallboards through more sustainable production procedure. The wallboard production plant is divided in three sections: upstream where the raw gypsum is received, midstream where the raw gypsum is processed to produce Calcium Sulfate Hemihydrate (stucco), and downstream where the final wallboard product is produced. The main focus of this internship will be on the downstream section. We will try to improve the wallboards through controlling their chemical composition and physical structure.

Simulation of the foamy oil flow during the solution gas drive production of heavy oils - Year two

Foamy oil behavior is a unique phenomenon associated with cold production of heavy crude oils. It is believed that the foaming mechanism has a significant impact on the abnormally high production rate of viscous crude oils observed in many heavy oil producing reservoirs through solution gas drive.
Due to the non-equilibrium nature of the foamy oil flow, the mathematical modeling of this process involves few challenges. The main non-equilibrium process exist between solution gas and free gas that leads to a significant supersaturation of dissolved gas in the oil phase.