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Grant: Alliance Grants

Memorial University of Newfoundland

$50,400.00

Continuously evolving Newfoundland offshore model

FY 2023-24

Summary
Canada is fortunate to host the energy resources that we've come to depend on to power our lives as well as the mineral resources that will be needed to green our economy and the carbon storage sites required to help tackle climate change. In particular, the offshore margins of the province of Newfoundland and Labrador have the potential to satisfy all of these needs, with the added benefit of a long legacy of offshore exploration that has generated the data necessary to evaluate the potential to employ these resources and sites to fight climate change and support a sustainable future for Canada. Through this proposed partnership with offshore industry experts (Oil and Gas Corporation of Newfoundland and Labrador (OilCo), Petroleum Geo-Services (PGS), and TGS Canada Corporation (TGS)), student researchers at Memorial University of Newfoundland will develop and build a Continuously Evolving Newfoundland Offshore Model (CENOM) by combining all of the existing datasets and using the power of machine learning to unlock the full potential of these datasets. The resulting modern-day "digital twin" offshore model will help us identify regions with enhanced potential for critical minerals and carbon storage sites, and to look back through geological time using computer reconstructions and simulations. These pursuits will ultimately contribute to our fundamental understanding of how continents break apart and ocean basins form.
Program
Alliance Grants
Location
Newfoundland and Labrador, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
577532-2022
Name nom
Welford, Joanna Kim JK
Department département
Earth Sciences
Organization id
89
Institution établissement
Memorial University of Newfoundland
Province en
Newfoundland and Labrador
Province fr
Terre-Neuve-et-Labrador
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2022
Award amount
50400
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
1203
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Earth sciences
Area of application fr
Sciences de la terre
Research subject code
4301
Research subject group en
Geophysics
Research subject group fr
Structure and dynamics of the earth's interior
Research subject en
Géophysique
Research subject fr
Structure et dynamique de l'intérieur de la terre
Application title
Continuously evolving Newfoundland offshore model
Keyword
carbon sequestration; faulting; geophysics; machine learning; North Atlantic; offshore; plate kinematics; tectonics
Application summary
Canada is fortunate to host the energy resources that we've come to depend on to power our lives as well as the mineral resources that will be needed to green our economy and the carbon storage sites required to help tackle climate change. In particular, the offshore margins of the province of Newfoundland and Labrador have the potential to satisfy all of these needs, with the added benefit of a long legacy of offshore exploration that has generated the data necessary to evaluate the potential to employ these resources and sites to fight climate change and support a sustainable future for Canada. Through this proposed partnership with offshore industry experts (Oil and Gas Corporation of Newfoundland and Labrador (OilCo), Petroleum Geo-Services (PGS), and TGS Canada Corporation (TGS)), student researchers at Memorial University of Newfoundland will develop and build a Continuously Evolving Newfoundland Offshore Model (CENOM) by combining all of the existing datasets and using the power of machine learning to unlock the full potential of these datasets. The resulting modern-day "digital twin" offshore model will help us identify regions with enhanced potential for critical minerals and carbon storage sites, and to look back through geological time using computer reconstructions and simulations. These pursuits will ultimately contribute to our fundamental understanding of how continents break apart and ocean basins form.
Memorial University of Newfoundland - $50,400 Grant (… | Canada Spends