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Skip to Search Results- 10SAGD
- 2Optimization
- 1Bitumen
- 1CO2/H2S corrosion
- 1Chance Constrained Model Predictive Control
- 1Clinoptilolite
- 3Huang, Biao (Chemical and Materials Engineering)
- 1De Klerk, Arno (Chemical and Material engineering)
- 1Forbes, Fraser (Chemical and Materials Engineering)
- 1Kuznicki, Steve M.(Chemical and materials engineering)
- 1Li, Zukui (Chemical and Materials Engineering)
- 1Luo, Jingli (Chemical and Materials Engineering)
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Fall 2019
Interfacial activity of SAGD PW endogenous surfactants, humic acids (HAs), and their interaction dynamics with naphtha-diluted Alberta oil sand bitumen (AOSB) present in model SAGD produced water has been addressed in the first part of this PhD thesis. Dynamic interfacial tension σ(t) between oil...
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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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Spring 2017
Model Predictive Control (MPC) is widely applied in the process industry nowadays. Chemical processes are corrupted by all kinds of uncertainties, such as measurement noises, disturbances and parameter uncertainties. Without consideration of uncertainties, conventional MPC will cause various...
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Spring 2018
Steam-assisted gravity drainage (SAGD) is an enhanced oil recovery (EOR) technology widely used in Canada. Data available in SAGD industrial processes contain valuable information for monitoring, soft sensing, control, and optimization. This thesis focuses on data mining and optimization in the...
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Fall 2017
The present research was conducted with the intent of evaluating the degradation of OCTG (Oil Country Tubular Goods) steel used in SAGD (Steam Assisted Gravity Drainage) applications, and developing a promising surface modification method and a novel composite coating using a technique that will...
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Fabrication of Graphene-based Nanocomposite Membranes for Treatment of Process-affected Water
DownloadSpring 2020
Membrane separation processes are extensively used for separation of solutes such as ions, colloids, macromolecules, and organic matter from water. Among various membrane technologies, ultrafiltration (UF) and nanofiltration (NF) are progressively being employed for elimination of organic matter...
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Investigation and Optimization of Corrosion-resistant Electroless Ni-P Coating in Steam-assisted Gravity Drainage System
DownloadFall 2020
The boosting energy demand has propelled the increasing utilization of oil and gas resources, but severe corrosion occurs on traditional carbon steel materials. Driven by the harsh service conditions in steam-assisted gravity drainage system (SAGD) operations, a promising corrosion-resistant...
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Natural Clinoptilolite Composite Coated Stainless Steel Tubular Membranes for Water Softening and Desalination
DownloadSpring 2015
Water is an essential resource for life and sources of fresh water are limited. As population and industries are increasing around the world the need for reuse the water is increased. One of the most important industries in Alberta, Canada is oilsands industry. Steam assisted gravity drainage...
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On Organic Liquid Crystal Transfer from Bitumen-Rich to Water-Rich Phases: A Combined Laboratory and SAGD Field Study
DownloadSpring 2014
Hydrocarbon-based liquid-crystal domains were observed in unreacted heavy fractions extracted from Athabasca bitumen and bitumen derived hydrocarbon resource fractions. Transfer of these organic crystalline domains to the water-rich phase during SAGD production is explored here because there...
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Robust Gaussian Process Regression and its Application in Data-driven Modeling and Optimization
DownloadFall 2015
Availability of large amounts of industrial process data is allowing researchers to explore new data-based modelling methods. In this thesis, Gaussian process (GP) regression, a relatively new Bayesian approach to non-parametric data based modelling is investigated in detail. One of the primary...