VOOZH about

URL: https://www.mindat.org/reference.php?id=236842

⇱ Bérubé, Charles L.; Olivo, Gema R.; Chouteau, Michel; Perrouty, Stéphane; Shamsipour, Pejman; Enkin, Randolph J.; Morris, William A.; Feltrin, Leonardo; Thiémonge, Raphaël (2018) Predicting rock type and detecting hydrothermal alteration using machine learning and petrophysical properties of the Canadian Malartic ore and host rocks, Pontiac Subprovince, Québec, Canada. Ore Geology Reviews, 96. doi:10.1016/j.oregeorev.2018.04.011


👁 Image
Now Featuring: The Bruce Carter Collection at Heritage Auctions, Live May 16th
Log InRegister
AboutSupport UsPhotosDiscussionsSearchLearnMore

Bérubé, Charles L.; Olivo, Gema R.; Chouteau, Michel; Perrouty, Stéphane; Shamsipour, Pejman; Enkin, Randolph J.; Morris, William A.; Feltrin, Leonardo; Thiémonge, Raphaël (2018) Predicting rock type and detecting hydrothermal alteration using machine learning and petrophysical properties of the Canadian Malartic ore and host rocks, Pontiac Subprovince, Québec, Canada. Ore Geology Reviews, 96. doi:10.1016/j.oregeorev.2018.04.011

Reference TypeJournal (article/letter/editorial)
TitlePredicting rock type and detecting hydrothermal alteration using machine learning and petrophysical properties of the Canadian Malartic ore and host rocks, Pontiac Subprovince, Québec, Canada
JournalOre Geology Reviews
AuthorsBérubé, Charles L.Author
Olivo, Gema R.Author
Chouteau, MichelAuthor
Perrouty, StéphaneAuthor
Shamsipour, PejmanAuthor
Enkin, Randolph J.Author
Morris, William A.Author
Feltrin, LeonardoAuthor
Thiémonge, RaphaëlAuthor
Year2018 (May)Volume96
PublisherElsevier BV
DOIdoi:10.1016/j.oregeorev.2018.04.011Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID236842Long-form Identifiermindat:1:5:236842:3
GUID0
Full ReferenceBérubé, Charles L.; Olivo, Gema R.; Chouteau, Michel; Perrouty, Stéphane; Shamsipour, Pejman; Enkin, Randolph J.; Morris, William A.; Feltrin, Leonardo; Thiémonge, Raphaël (2018) Predicting rock type and detecting hydrothermal alteration using machine learning and petrophysical properties of the Canadian Malartic ore and host rocks, Pontiac Subprovince, Québec, Canada. Ore Geology Reviews, 96. doi:10.1016/j.oregeorev.2018.04.011
Plain TextBérubé, Charles L.; Olivo, Gema R.; Chouteau, Michel; Perrouty, Stéphane; Shamsipour, Pejman; Enkin, Randolph J.; Morris, William A.; Feltrin, Leonardo; Thiémonge, Raphaël (2018) Predicting rock type and detecting hydrothermal alteration using machine learning and petrophysical properties of the Canadian Malartic ore and host rocks, Pontiac Subprovince, Québec, Canada. Ore Geology Reviews, 96. doi:10.1016/j.oregeorev.2018.04.011
In(2018) Ore Geology Reviews Vol. 96. Elsevier BV


See Also

These are possibly similar items as determined by title/reference text matching only.

👁 Image
👁 Image
👁 Image
👁 Image
👁 Image
👁 Image
👁 Image
👁 Image
👁 Image
👁 Image
👁 Image
Mindat.org® is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization. Mindat® and mindat.org® are registered trademarks of the Hudson Institute of Mineralogy.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2026, except where stated. Most political location boundaries are © OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph and Ida Chau.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: April 5, 2026 06:05:00
Go to top of page