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Grant: Alliance Grants

Université d'Ottawa

$136,000.00

Fluid Dynamics Model of a LC-Fining Heavy Oil Hydroprocessor

EF 2024-25

Résumé
The LC-Fining® unit is a fluidized bed hydroprocessor used by both Syncrude Canada Ltd and North West Redwater Partnership to upgrade Canadian bitumen to synthetic crude oil via catalytic hydrogenation. The project's overall goal is to develop a fluid dynamics model of the reactor that predicts the impact of operational changes (e.g., treat gas flow rate, bitumen feed composition, catalyst type) on both steady fluidization operation (impacts capacity utilisation rate) and liquid volume fraction (impacts single-pass conversion and Conradson carbon residue removal). An outcome of using the model is the determination of operating conditions that increase the feed heaviest oil fraction and net throughput, which in turn raises the overall process synthetic crude oil yield and quality. Less operational upsets/cutbacks and greater space-time yields lead to better process energy efficiencies and reduced impact on the environment including greenhouse gas emissions. Optimization of economic return and environmental impact are central to the responsible development of the Canadian oil sands industry, which is a major contributor to the country's gross domestic product and energy security. This research project will have both multiphase computational fluid dynamics and experimental campaigns, leveraged by existing unique equipment and specialized instrumentation. Model-based guidelines for catalyst addition and fluidization interlock settings will be proposed for an expanded range of operating conditions. Finally, students will work in a diverse and inclusive environment partaking in the operation of pilot-scale high pressure equipment, detailed mathematical modelling, and professional communication/interaction with partners for comprehensive training.
Programme
Alliance Grants
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
590561-2023
Name nom
Macchi, Arturo A
Department département
Chemical and Biological Engineering
Organization id
28
Institution établissement
Université d'Ottawa
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2023
Award amount
136000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
300
Area of application group en
Energy resources
Area of application group fr
Ressources d'énergie
Area of application en
Energy resources (including production, exploration, processing, distribution and use)
Area of application fr
Ressources d'énergie (production, exploration, traitement, distribution et utilisation de l'énergie)
Research subject code
1801
Research subject group en
Chemical engineering
Research subject group fr
Génie chimique
Research subject en
Reaction fundamentals and reactor design
Research subject fr
Principes des réactions et conception de réacteurs
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Fluid Dynamics Model of a LC-Fining Heavy Oil Hydroprocessor
Keywords
bitumen; computational fluid dynamics; feed properties; fluidization; hydroprocessing; lc-fining unit; multiphase flow; phase holdups; reactor model
Application summary
The LC-Fining® unit is a fluidized bed hydroprocessor used by both Syncrude Canada Ltd and North West Redwater Partnership to upgrade Canadian bitumen to synthetic crude oil via catalytic hydrogenation. The project's overall goal is to develop a fluid dynamics model of the reactor that predicts the impact of operational changes (e.g., treat gas flow rate, bitumen feed composition, catalyst type) on both steady fluidization operation (impacts capacity utilisation rate) and liquid volume fraction (impacts single-pass conversion and Conradson carbon residue removal). An outcome of using the model is the determination of operating conditions that increase the feed heaviest oil fraction and net throughput, which in turn raises the overall process synthetic crude oil yield and quality. Less operational upsets/cutbacks and greater space-time yields lead to better process energy efficiencies and reduced impact on the environment including greenhouse gas emissions. Optimization of economic return and environmental impact are central to the responsible development of the Canadian oil sands industry, which is a major contributor to the country's gross domestic product and energy security. This research project will have both multiphase computational fluid dynamics and experimental campaigns, leveraged by existing unique equipment and specialized instrumentation. Model-based guidelines for catalyst addition and fluidization interlock settings will be proposed for an expanded range of operating conditions. Finally, students will work in a diverse and inclusive environment partaking in the operation of pilot-scale high pressure equipment, detailed mathematical modelling, and professional communication/interaction with partners for comprehensive training.