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Grant: Alliance Grants

University of Alberta

$105,585.00

Computational fluid dynamics (CFD) simulations of water flushing in oil sands hydrotransport pipeline

EF 2023-24

Résumé
Hydrotransport pipelines are used in oil sands industry to simultaneously ablate lumps, and transport and condition oil sands ore before bitumen extraction. Water flushing the pipeline is essential for pipe cleaning, safe operation and clogging presentation. An enormous volume of clean water is required to remove the oil sands slurry from the pipeline, leading to high cost from the flushing operation. This project will develop computational fluid dynamics (CFD) models to simulate and analyze the process of flushing oil sands slurry in hydrotransport pipeline at high flow velocity. The validated models that can predict the flushing efficiency for a range of particle size distribution, pipe inner diameters by using water with and without microbubbles. The oil sands industry will benefit from the predictive models, as the models can be used to assist optimization of flushing technology with reduced consumption of water. Efficient use of flushing water to achieve the same cleaning purpose will bring tangible economic and environmental benefits for oil sands industry, including reduced greenhouse gas emission and reduced load for utilities that are used to produce warm flushing water, and reduced inventory to tailing ponds. This three-year project will provide excellent training opportunities for three co-op students, two PhD students and a postdoctoral fellow through close engagement with industrial partner.
Programme
Alliance Grants
Bénéficiaire
Emplacement
Alberta, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
588262-2023
Name nom
Zhang, Xuehua XH
Department département
Chemical and Materials Engineering
Organization id
9
Institution établissement
University of Alberta
Province en
Alberta
Province fr
Alberta
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2023
Award amount
105585
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
202
Area of application group en
Natural resources (economic aspects)
Area of application group fr
Ressources naturelles (aspects économiques)
Area of application en
Mineral resources ( prospecting, exploration, mining, extraction, processing)
Area of application fr
Ressources minérales (prospection, exploration, mines, extraction et préparation)
Research subject code
1805
Research subject group en
Chemical engineering
Research subject group fr
Transport processes
Research subject en
Génie chimique
Research subject fr
Procédés de transfert
Application title
Computational fluid dynamics (CFD) simulations of water flushing in oil sands hydrotransport pipeline
Keyword
CFD simulation; high speed imaging; horizontal pipeline; microbubbles; oil sands; sediments; slurry; water flushing
Application summary
Hydrotransport pipelines are used in oil sands industry to simultaneously ablate lumps, and transport and condition oil sands ore before bitumen extraction. Water flushing the pipeline is essential for pipe cleaning, safe operation and clogging presentation. An enormous volume of clean water is required to remove the oil sands slurry from the pipeline, leading to high cost from the flushing operation. This project will develop computational fluid dynamics (CFD) models to simulate and analyze the process of flushing oil sands slurry in hydrotransport pipeline at high flow velocity. The validated models that can predict the flushing efficiency for a range of particle size distribution, pipe inner diameters by using water with and without microbubbles. The oil sands industry will benefit from the predictive models, as the models can be used to assist optimization of flushing technology with reduced consumption of water. Efficient use of flushing water to achieve the same cleaning purpose will bring tangible economic and environmental benefits for oil sands industry, including reduced greenhouse gas emission and reduced load for utilities that are used to produce warm flushing water, and reduced inventory to tailing ponds. This three-year project will provide excellent training opportunities for three co-op students, two PhD students and a postdoctoral fellow through close engagement with industrial partner.