Grant: Alliance Grants
University of Alberta
$300,000.00
Smart Automation for Bitumen Extraction and Oil Refining Processes
EF 2024-25
Résumé
The unique nature of bitumen extracting and heavy oil refining operations creates a host of technical challenges that generally cannot be resolved using conventional methodologies. Rather, state-of-the-art solutions are required, and these often emerge from the collaboration between companies and academia. This motivates the university, oil sands operators and refinery operators to form a partnership through the NSERC program. Satisfied and impressed by the cutting-edge research in our past NSERC CRD and IRC programs, core organizations from oil sands and refining industries-Imperial Oil, Shell Canada and Syncrude Canada-wish to progress their collaboration with the University through the NSERC Alliance program.
The goal of this partnership is three-fold: continue the research from our previous Industrial Research Chair program; establish scientific foundations for advanced control of bitumen extraction and oil refining processes; provide scientific leadership to the industry in the area of process systems engineering and associated digital transformations. A key element to achieving these goals is the advancement of automation systems. This proposal endeavours to explore advanced data analytics and machine learning technologies and apply them to process industries, potentially leading to a transformation of process control practice. Through such a collaborative research partnership program, we will assist the industries in identifying and removing factors that limit operational efficiency in all stages involved in mining, in-situ recovery, bitumen extraction, upgrading, refining and utilities, and meeting the challenges of reducing production cost and environmental impact. Our integrated program will enable collaboration with the industry to convert research outcomes into implemented solutions and train highly qualified personnel with excellent job prospects. As a result, Canada will be better positioned to meet its future energy industry needs.
Programme
Alliance Grants
Bénéficiaire
Emplacement
Alberta, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
561080-2020
Name nom
Huang, Biao B
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
2024
Competition year année de concours
2020
Award amount
300000
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
301
Area of application group en
Energy resources
Area of application group fr
Ressources d'énergie
Area of application en
Oil, gas and coal
Area of application fr
Pétrole, gaz et charbon
Research subject code
1800
Research subject group en
Chemical engineering
Research subject group fr
Génie chimique
Research subject en
Chemical engineering
Research subject fr
Génie chimique
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
Smart Automation for Bitumen Extraction and Oil Refining Processes
Keywords
advanced control; automation; computer vision; fault detection; machine learning; oil sands; optimization; process control; process data analytics; refinery
Application summary
The unique nature of bitumen extracting and heavy oil refining operations creates a host of technical challenges that generally cannot be resolved using conventional methodologies. Rather, state-of-the-art solutions are required, and these often emerge from the collaboration between companies and academia. This motivates the university, oil sands operators and refinery operators to form a partnership through the NSERC program. Satisfied and impressed by the cutting-edge research in our past NSERC CRD and IRC programs, core organizations from oil sands and refining industries-Imperial Oil, Shell Canada and Syncrude Canada-wish to progress their collaboration with the University through the NSERC Alliance program.
The goal of this partnership is three-fold: continue the research from our previous Industrial Research Chair program; establish scientific foundations for advanced control of bitumen extraction and oil refining processes; provide scientific leadership to the industry in the area of process systems engineering and associated digital transformations. A key element to achieving these goals is the advancement of automation systems. This proposal endeavours to explore advanced data analytics and machine learning technologies and apply them to process industries, potentially leading to a transformation of process control practice. Through such a collaborative research partnership program, we will assist the industries in identifying and removing factors that limit operational efficiency in all stages involved in mining, in-situ recovery, bitumen extraction, upgrading, refining and utilities, and meeting the challenges of reducing production cost and environmental impact. Our integrated program will enable collaboration with the industry to convert research outcomes into implemented solutions and train highly qualified personnel with excellent job prospects. As a result, Canada will be better positioned to meet its future energy industry needs.