A critical issue in the oil and gas industry is to quantify the composition of fluids flowing back from the hydraulic fracturing process. This quantification is usually carried out by a manual process (frequently via a visual test) to estimate the water and oil produced from a well flow back process. A sample of these onsite tests are sent to laboratories for chemical analysis. This process has been the status quo for decades. This approach is manual, prone to error, and does not lend itself to sophisticated real time analysis.
This project is designated to the development of information and communication systems for advanced irrigation systems. An optimal wireless network planning algorithm will be developed to select the optimal locations for relay station placement at a minimum cost. Due to the potential GPS measurement errors in the irrigation area, robust optimization technique will be applied for the optimal irrigation command calculation.
The agriculture sector is one of the major pillars in the Canadian economy based in cereal, pastureland for cattle, and biofuel (wheat, canola and barley), and was estimated to be a $7 billion industry in 2015 in Alberta. It is also one of the most economically risky activities since the value of the yield is affected by market fluctuations and it is often affected by extreme weather episodes, especially hail storms in the summer, that provoke important yield losses.
Hydrofaction™ is Steeper Energy’s proprietary hydrothermal liquefaction technology that converts low value biomass residues to renewable crude oil using supercritical water and homogeneous catalysis. Steeper Energy Canada (SEC) is focused on identifying optimal pathways for upgrading Hydrofaction™ Oil into renewable diesel and jet fuels. Amidst plummeting crude oil prices, such renewable fuels still command attractive ‘green’ economic premiums as well as policy support for their climate and rural development deliverables.
The Project’s objective is to continue the upgrading work executed in the previous MITACS Converge project with a larger focus on more challenging biocrude oils such as heavy fractions, high viscosity, high nitrogen, high ash oils that are produced from feedstocks such as “feed gate residues” in the form of manures, biosludges and organics from municipal waste. The performance objective remains to optimize and scale up the upgrading of Hydrofaction™ Oil to blendstocks for transport fuels.
Diagnosing and managing concussions have become an increasing priority in sports medicine. The King-Devick test is a screening assessment of neurological functioning detecting impaired eye movements and saccades. During the 2016 Canadian Football League (CFL) season, all players will undergo pre-season (baseline) and post-injury testing with the King-Devick test in addition to the CFLs standardized medical evaluation for concussion. This project will conduct a sensitivity and specificity analysis of the King-Devick test to evaluate its effectiveness in diagnosis concussions.
This project will refine an existent technology developed by us for freeze-drying biological and medical solutions to produce powders. Freeze-dried bio-medical powders are used in pharmaceuticals as well as for food. The technology we will refine in this project is called atmospheric spray freeze drying (ASFD) and has the potential to be faster and more economical than current methods and to work for a wider variety of substances than allowed for by current methods. In this project, we will refine the monitoring and control components of the ADFD technology.
Reservoir operators typically determine flow releases by assessing the available storage and demand and then applying a rule?of?thumb. Thus, in spite of numerous previous and current computer modelling studies, the use of computer models in real?time reservoir operation on a district level is virtually nonexistent. The resulting water savings offer the opportunity to increase river flows, making greater volumes of water available to irrigated agriculture to reduce drought risks, or support irrigation sector expansion that meets all water licenses and in?stream water?quality objectives.
The main goal of this project is to develop a general set of computational solutions that could be used to prevent and manage emergency situations in transportation and water management networks by developing a monitoring and predictive model. This monitoring and predictive model will be based on topological data analysis (TDA) in a fashion similar to the model used in systems biology but here applied to Big Data provided by transportation, communication and water management systems.
Wetlands are habitats for many fishes, aquatic invertebrates, waterfowl, and other wildlife. Wetlands are also important for peoples daily lives. They can renovate freshwater, store flood, and provide fishery resources. However, wetlands are being destroyed and polluted at alarming rates worldwide. This research tries to understand the current wetlands extent and states in mid-Alberta, Canada. We use an emergent Unmanned Aerial System (UAS) and cutting-edge computer techniques to map wetland vegetation species and communities.