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.
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.
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.
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.
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.
In an effort to ensure pipelines continue to operate in a safe condition, various inspections and assessments are completed on a continual basis during their operating lifespan. These assessments include radiographic or ultrasonic examinations, forms of non-destructive examination (NDE), of circumferential girth welds formed between multiple pipe sections.
Rechargeable aqueous zinc sodium dual-ions batteries are considered as alternatives of lithium ion batteries because of their safety and low-cost. As an available cathode for the zinc sodium dual-ions batteries, sodium manganese oxide (NMO) shows relatively high specific discharge capacity. Polyaniline (PANI) is promising for coating NMO to stabilize the NMO system because it can supress the crystalline structure collapse. Metanilic acid is promising for doping PANI to increase the conductivity of PANI.
The aim of this proposed research is the development of an efficient technology to convert carbon dioxide (CO2) via Dry Reforming of Methane (DRM) to produce value-added products. DRM, one the promising CO2 utilization technologies, has gained much attention as not only it reduces greenhouse gases (GHG), but also converts them to a valuable product, syngas. There are two main knowledge gaps associated with DRM process, which hinders the industrial application: 1. Catalyst deactivation, and 2. The high energy requirement for the CO2 conversion reaction.
This project will develop practical workflows, algorithms and programming codes for inferring unknown reservoir properties from distributed temperature and acoustic sensing data. In-situ pressure and flow conditions can be interpreted from downhole fiber signals gathered in real time, which are used to estimate unknown heterogeneous reservoir parameters continuously. Machine learning methods will be incorporated to facilitate the handling of large amount of measured data and computations more efficiently.
The focus of this study is on the understanding of the cellular interactions with polymeric drug carrier for intraarticular injection of therapeutic. The degradability of the Eupraxia’s polymeric drug carrier will be studied in contact with macrophages and/or enzymes. At each time point in the cell study the polymer surface will be characterized by SEM, and the enzymes and ROS production will be measured to compare to the control groups.