A Machine Learning Zircon Trace Element Tool to Predict Porphyry Deposit Type and Resource Size

• Published in: Journal of geophysical research. Machine learning and computation Vol. 1; no. 4
• Main Authors: Wen, Zi‐Hao, Xu, Bo, Kirkland, Christopher L., Lentz, David R., Hou, Zeng‐Qian, Wang, Tao, Yuan, Mao‐Wen
• Format: Journal Article
• Language: English
• Published: Wiley 01.12.2024
• Subjects: machine learning; porphyry deposit type; resource size; Wunugetushan deposit; zircon trace element

Porphyry deposits are primarily known for their association with base metals like copper and to some extent molybdenum and gold. Here we present machine learning models, based on zircon composition, that provide quantitative distinction between different deposit types and resource sizes. Using a glo...