Geostatistical and Machine Learning-Based Spatial Modeling and Characterization of Rare Earth Elements in Seafloor Deposits

Vitor University Ribeiro de Sá

講演情報

Oral Session

E-1: AI and Big Data Analysis for Geoscience and Resource Exploration (Jointed with 16th International Symposium on Mineral Exploration (ISME-16))

2023年8月18日(金) 14:00 〜 17:15 ROOM1 (Exhibition Hall 1-A)

Chairman:Akihito Kizaki(Akita University)、Taiki Kubo(Kyoto University)、Mohamad Nur Heriawan(Bandung Institute of Technology, Indonesia)

14:45 〜 15:00

[OE1-04] Geostatistical and Machine Learning-Based Spatial Modeling and Characterization of Rare Earth Elements in Seafloor Deposits

*Vitor University Ribeiro de Sá¹, Katsuaki Koike¹ (1. Kyoto University (Japan))

キーワード：Rare earth elments deposits in seafloor, Principal component analysis, Cluster analysis, Geostatistical stochastic simulation, 3D geologic model

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