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Exploiting the potential of legacy data with artificial intelligence for renovating VMS mineral prospectivity models of the renowned Brunswick Belt, Canada

Authors :
Parsa, Mohammad
Lentz, David
Walker, James
Source :
Atlantic Geoscience. Annual, 2022, Vol. 58, p27, 1 p.
Publication Year :
2022

Abstract

The renowned Brunswick belt (BB) that hosts the Brunswick Horizon (BH), the stratigraphic sequence constituting the upper contacts of the Nepisiguit Falls Formation (NFF) with the overlying Flat Landing Brook [...]

Subjects

Subjects :
New Brunswick -- Natural history
Artificial intelligence -- Usage
Rock formations -- Environmental aspects -- Models
Formations (Geology) -- Environmental aspects -- Models
Sulfide minerals -- Environmental aspects -- Models
Artificial intelligence
Earth sciences

Details

Language :
English
ISSN :
25642987
Volume :
58
Database :
Gale General OneFile
Journal :
Atlantic Geoscience
Publication Type :
Academic Journal
Accession number :
edsgcl.716576978

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Authors Abstract Subjects Details