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Direct mineral content prediction from drill core images via transfer learning

Direct mineral content prediction from drill core images via transfer learning

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3051702347

Direct mineral content prediction from drill core images via transfer learning

About this item

Full title

Direct mineral content prediction from drill core images via transfer learning

Publisher

Cham: Springer International Publishing

Journal title

Swiss Journal of geosciences, 2024-12, Vol.117 (1), p.8-26, Article 8

Language

English

Formats

Publication information

Publisher

Cham: Springer International Publishing

More information

Scope and Contents

Contents

Deep subsurface exploration is important for mining, oil and gas industries, as well as in the assessment of geological units for the disposal of chemical or nuclear waste, or the viability of geothermal energy systems. Typically, detailed examinations of subsurface formations or units are performed on cuttings or core materials extracted during dr...

Alternative Titles

Full title

Direct mineral content prediction from drill core images via transfer learning

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_3051702347

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3051702347

Other Identifiers

ISSN

1661-8726

E-ISSN

1661-8734

DOI

10.1186/s00015-024-00458-3

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