Grant: Applied Research and Development Grants - Level 2
Saskatchewan Polytechnic
$75,000.00
Using Machine Learning to locate geological deposits
FY 2023-24
Summary
Saskatchewan Polytechnic (SP)'s Digital Integration Centre of Excellence (DICE) and geological experts at Peter Lucas Project Management Inc. (PL) will collaborate on the development of a digital system to locate aggregate sources with a large gravel content. Gravel is a non-renewable resource that is used in almost every aspect of construction. The identification of sources of gravel and the corresponding management of it is important to many different industries. The project will examine the use of machine learning (ML) and or neural network algorithms to determine the probability of a location on a map containing gravel. This resulting technology can help find more sources, will increase supply, save costs, and reduce greenhouse gases due to minimized hauling. The work done in this project expands on previous collaborations between SP DICE and PL that have shown promise.
Program
Applied Research and Development Grants - Level 2
Recipient
Location
Saskatchewan, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
571003-2021
Name nom
Blum, Susan SC
Department département
Head Office
Organization id
44957
Institution établissement
Saskatchewan Polytechnic
Province en
Saskatchewan
Province fr
Saskatchewan
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2021
Award amount
75000
Program id
CARD2
Program name en
Applied Research and Development Grants - Level 2
Program name fr
Subventions de recherche et développement appliquée - niveau 2
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
1561
Committee name en
Applied Research and Development Grants
Committee name fr
Subventions de recherche et développement appliquée
Area of application code
804
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Communication systems and services (planning, organization, services)
Area of application fr
Systèmes et services de communications (planification, organisation et services)
Research subject code
2705
Research subject group en
Information technology
Research subject group fr
Software and development
Research subject en
Technologie de l'information
Research subject fr
Logiciels et développement
Application title
Using Machine Learning to locate geological deposits
Keyword
aggregate; geological formations; geology; gravel pit location; machine learning
Application summary
Saskatchewan Polytechnic (SP)'s Digital Integration Centre of Excellence (DICE) and geological experts at Peter Lucas Project Management Inc. (PL) will collaborate on the development of a digital system to locate aggregate sources with a large gravel content. Gravel is a non-renewable resource that is used in almost every aspect of construction. The identification of sources of gravel and the corresponding management of it is important to many different industries. The project will examine the use of machine learning (ML) and or neural network algorithms to determine the probability of a location on a map containing gravel. This resulting technology can help find more sources, will increase supply, save costs, and reduce greenhouse gases due to minimized hauling. The work done in this project expands on previous collaborations between SP DICE and PL that have shown promise.
