Grant: Alliance Grants
Mount Allison University
$204,500.00
Integration of Geophysical and Geological Information Through Novel Inverse Methods Designed for Mineral Exploration
EF 2023-24
Résumé
Most large and easily accessible mineral deposits have been found and exploited. To continue to supply critical mineral resources central to global industries, mineral exploration must move to deposits that are deeper or smaller, and therefore are more challenging to identify and characterize using geophysical methods. Geophysical inversion is an imaging approach that provides information about the subsurface physical properties of the Earth (density, conductivity, etc.) based on measurements of physical fields (gravity, electromagnetic, etc.). That physical property information can be interpreted to identify and characterize the mineral content inside the Earth. To do this successfully, there must be a tight integration between the geophysical and geological data typically collected for mineral exploration. This research will look at novel state-of-the-art geophysical inversion methods and develop approaches for such tight integration. Specifically, we will research surface-geometry inversion methods, which parameterize the Earth in terms of surfaces between different rock units. This parameterization is more consistent with geologists' understandings of the Earth, and has high potential to allow the tight integration of geophysical and geological information that we seek. Surface-geometry inversion methods are becoming more common but little work has thoroughly assessed approaches for using these methods to integrate geophysical and geological information; that will be the primary objective of this research project. A secondary objective is to further improve current computational aspects of surface-geometry inversion methods by researching the mathematical optimization approaches that are required to perform the inversions. This work will develop sophisticated modelling methods and related software that can be immediately adopted by mineral exploration companies in Canada, and thereby strengthen Canada's position as a global supplier for critical minerals.
Programme
Alliance Grants
Bénéficiaire
Emplacement
New Brunswick, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
586758-2023
Name nom
Lelievre, Peter G
Department département
Mathematics and Computer Science
Organization id
74
Institution établissement
Mount Allison University
Province en
New Brunswick
Province fr
Nouveau-Brunswick
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2023
Award amount
204500
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
4304
Research subject group en
Geophysics
Research subject group fr
Applied geophysics
Research subject en
Géophysique
Research subject fr
Géophysique appliquée
Application title
Integration of Geophysical and Geological Information Through Novel Inverse Methods Designed for Mineral Exploration
Keyword
constrained inversion; electromagnetics; geology; geophysics; gravity; inversion; joint inversion; magnetics; mineral exploration
Application summary
Most large and easily accessible mineral deposits have been found and exploited. To continue to supply critical mineral resources central to global industries, mineral exploration must move to deposits that are deeper or smaller, and therefore are more challenging to identify and characterize using geophysical methods. Geophysical inversion is an imaging approach that provides information about the subsurface physical properties of the Earth (density, conductivity, etc.) based on measurements of physical fields (gravity, electromagnetic, etc.). That physical property information can be interpreted to identify and characterize the mineral content inside the Earth. To do this successfully, there must be a tight integration between the geophysical and geological data typically collected for mineral exploration. This research will look at novel state-of-the-art geophysical inversion methods and develop approaches for such tight integration. Specifically, we will research surface-geometry inversion methods, which parameterize the Earth in terms of surfaces between different rock units. This parameterization is more consistent with geologists' understandings of the Earth, and has high potential to allow the tight integration of geophysical and geological information that we seek. Surface-geometry inversion methods are becoming more common but little work has thoroughly assessed approaches for using these methods to integrate geophysical and geological information; that will be the primary objective of this research project. A secondary objective is to further improve current computational aspects of surface-geometry inversion methods by researching the mathematical optimization approaches that are required to perform the inversions. This work will develop sophisticated modelling methods and related software that can be immediately adopted by mineral exploration companies in Canada, and thereby strengthen Canada's position as a global supplier for critical minerals.