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Automated Quantitative Characterization REE Ore Mineralogy from the Giant Bayan Obo Deposit, Inner Mongolia, China

Taotao Liu, Wenlei Song

2022enmineralogyREEBayan Oboautomatedcharacterization

Abstract

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Rare earth elements (REEs) are considered critical elements in modern society due to their irreplaceable role in new innovative and energy technologies. The giant carbonatite-related Bayan Obo deposit contributes most REE resources in the world’s market, while its origin is still unclear because of the complicated and diverse REE ore mineralogy and texture. Scanning electron microscopy (SEM)-based automated mineralogy allows for the numeric assessment of rocks and ores’ compositional and textural properties. Here, we use TIMA (TESCAN Integrated Mineral Analyzer) to quantitatively characterize REE ore mineralogy from the deep drill core within the H8 unit (“dolomite marble”) to better understand the deposit. The mineral composition, occurrence, and Ce elemental deportment of the borehole ores at different depths are analyzed to provide insights into the mineralogy and genesis of the Bayan Obo deposit.

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Cite This Work

@article{97bd8640-a754-4087-97b5-0cea22fbe030,
  title={Automated Quantitative Characterization REE Ore Mineralogy from the Giant Bayan Obo Deposit, Inner Mongolia, China},
  author={Taotao Liu and Wenlei Song},
  year={2022},
  language={en}
}
TY  - JOUR
TI  - Automated Quantitative Characterization REE Ore Mineralogy from the Giant Bayan Obo Deposit, Inner Mongolia, China
AU  - Taotao Liu
AU  - Wenlei Song
PY  - 2022
LA  - en
ER  -

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