Mineral Exploration

Winter 2019

Mineral Exploration is the official publication of the Association of Mineral Exploration British Columbia.

Issue link: http://digital.canadawide.com/i/1189730

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Page 20 of 63

W inte r 20 1 9 21 geologists can exploit this predictability if they can recognize these features. This course will explain the patterns, trends and geometry of porphyry system geology, mineralization and vein types, alteration assemblages, mineralogy, geochemistry, physical properties and geophysical signatures, and the tools and methods to use them. This critical information, either individually or integrated, forms the foundation to improved exploration decision-making to vector towards the central and more mineralized part of the porphyry system. Concepts and Application of Machine Learning to Mining Geoscience: A Practical Course Saturday, January 18, and Sunday, January 19 Presented by: Antoine Caté, Ph.D., Senior Consultant, SRK Consulting (Canada); Jean-Philippe Paiement, P.Geo., M.Sc., Director Global Consulting, Mira Geoscience; Erwan Gloaguen, Ph.D., holder of the Canadian Research Chair in Geophysical and Geological Data Assimilation for Modeling, INRS; and Martin Blouin, Ph.D., CEO and Lead AI, Geolearn Over the last five years machine learning has been a growing subject of conversation in the mining industry. From targeting of mineral deposits to a connected mining environment, there is no doubt that artificial intelligence will play a key role in the industry in the near future. However, the subject can seem obscure and is often hard to grasp, which creates apprehensions from geoscientists. This workshop intends to introduce the participants to the applications and evaluation of machine learning in mining geoscience. The main concepts and best practices for applied machine learning to exploration and mining will PHOTOS: VELOUR PRODUCTIONS/AME Mercer.indd 1 2018-10-31 7:13 AM

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