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Skip to Search Results- 50Department of Civil and Environmental Engineering
- 20Department of Chemical and Materials Engineering
- 15Department of Mechanical Engineering
- 13Department of Computing Science
- 12Department of Electrical and Computer Engineering
- 5Department of Agricultural, Food, and Nutritional Science
- 5Chalaturnyk, Rick (Civil and Environmental Engineering)
- 4Huang, Biao (Chemical and Materials Engineering)
- 4Nouri, Alireza (Civil and Environmental Engineering)
- 3Leung, Juliana (Civil and Environmental Engineering)
- 3Prasad, Vinay (Chemical and Materials Engineering)
- 3Sadrzadeh, Mohtada (Mechanical Engineering)
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Spring 2019
Heavy oils and extra heavy oils in Alberta that are currently extracted through thermal recovery primarily employ Steam Assisted Gravity Drainage (SAGD). Sand control devices (SCDs) such as Slotted Liners (SLs) and Wire Wrap Screens (WWSs) have been used extensively in wells producing from...
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Spring 2016
Different models have been proposed to describe two- and three-phase flow at the edge of a steam chamber developed during a SAGD process. However, two-dimensional scaled SAGD experiments and recent micro model visualizations demonstrate that steam-condensate is primarily in the form of...
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Analytical Solution for SAGD with Consideration of Temperature Variation along the Edge of a Steam Chamber
DownloadSpring 2017
Steam-assisted gravity drainage (SAGD) is a widely-used method for heavy-oil and bitumen recovery. Analytical models were presented in the literature for bitumen-production rate and steam-to-oil ratio (SOR) for SAGD. They often overestimate bitumen-production rate substantially. Various...
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Fall 2021
The warm vaporized solvent injection process has been proposed as a more environmentally friendly alternative to steam-based technologies for bitumen recovery. The process typically involves injecting heated solvent vapor into a horizontal injector; the solvent condenses and dissolves into...
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Spring 2022
Artificial Neural Network (ANN) has gained great interest in industrial applications due to their supremacy in modelling complex process behaviour. Applications of ANN include process modelling, optimization and fault diagnosis. However, pure data-driven approaches that use only observations to...
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Fall 2015
In this thesis, we consider two closely related clustering problems, Min Sum k-Clustering (MSkC) and Balanced k-Median (BkM). In Min Sum k-clustering, one is given a graph and a parameter k, and has to partition the vertices in the graph into k clusters to minimize the sum of pairwise distances...
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Assessment of Human Trunk Kinetics Using a Multi-Segment Model: An Approach to Minimize the Propagation of Experimental Errors
DownloadSpring 2018
Evaluating several pathological conditions such as low-back pain, scoliosis, herniated discs, and postural stability after spinal cord injury or chronic stroke requires a deep understanding of the inter-spinal interactions. Assessing the kinetics of the human head-arms-trunk (HAT) could provide...
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Spring 2017
Optimizing an objective function over convex sets is a key problem in many different machine learning models. One of the various kinds of well studied objective functions is the convex function, where any local minimum must be the global mini- mum over the domain. To find the optimal point that...
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Breaking with tradition: Fischer—Tropsch gas loops and modelling vapor—liquid—liquid equilibrium
DownloadFall 2015
Fischer—Tropsch gas loops have been in use for nearly a century, producing synthetic fuels and petrochemicals. Yet there still remain many opportunities to expand its uses, update the gas loop with new technology, as well as better understand at a fundamental level the way the products behave....
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Fall 2014
This study investigates the role hybrid poplar may play in reducing the cost of achieving self-sustaining status in herds of boreal caribou, an ecotype of woodland caribou, Rangifer tarandus caribou found in northeast Alberta. Boreal caribou are currently listed as threatened both provincially...