Grants and Contributions:

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Title:
Unlocking deep learning capabilities for mineral prospectivity mapping with novel geoscience data augmentation techniques
Agreement Number:
GC-130021S
Agreement Value:
$97,712.00
Agreement Date:
Sep 23, 2021 - Mar 31, 2023
Description:
The objective of this project is to develop leading edge geophysical and geological data augmentation tools (Artificial Intelligence and machine learning) to improve the practicality of deep learning methods applied to mineral prospectivity mapping, particularly focusing on the Southern Glennie Domain in Saskatchewan to produce mineral prospectivity maps of gold occurrences and electromagnetic anomalies.
Organization:
Natural Resources Canada
Expected Results:

TGI public geoscience knowledge and new methodologies relevant to the discovery of new Canadian mineral resources is made available and industry and other stakeholder groups.

Location:
MONTREAL, Quebec, CA H3C 3A7
Reference Number:
115-2021-2022-Q2-11278
Agreement Type:
Grant
Report Type:
Grants and Contributions
Recipient Type:
Academia
Additional Information:

Grant or contribution awarded and spanning more than one fiscal year.

Recipient's Operating Name:
Dr. C. L. Bérubé
Recipient's Legal Name:
CORPORATION DE L'ÉCOLE POLYTECHNIQUE DE MONTRÉAL
Research Organization:
Department of Civil, Geological and Mining Engineering
Program:
Targeted Geoscience Initiative
Program Purpose:

Targeted Geoscience Initiative will continue to address significant public geoscience gaps by expanding the industry toolkit for exploration, with further innovative geoscience tools, exploration models and new techniques to more efficiently and effectively detect the presence of buried mineral deposits that will provide better returns on private sector investments.