Volume 92, Issue 2 pp. 614-626
Original Article
Full Access

Metallogenic Correlations for the Fe-Nb-REE Mineralization in the West Mine of the Bayan Obo Deposit, Inner Mongolia, China

Li SU

Corresponding Author

Li SU

China State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology, Beijing 100083 China

College of Mining and Coal Engineering, Inner Mongolia University of Science and Technology, Baotou 100083 Inner Mongdia, China

Corresponding author. E-mail: [email protected]Search for more papers by this author
Suping PENG

Suping PENG

China State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology, Beijing 100083 China

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First published: 27 April 2018
Citations: 4

About the first author:

SU Li, female; born in 1986, Baotou, Inner Mongolia; is a lecturer in Inner Mongolia University of Science and Technology; Ph.D. candidate in China University of Mining and Technology (Beijing) majoring in mineral prospecting and exploration, and the research direction is geology.

Abstract

The West Mine of the Bayan Obo deposit, located in the northern-central part of Inner Mongolia, China, is enriched in Nb, rare earth elements and iron (Nb-REE-Fe) mineral resources. This paper presents a combined method to explore metallogenic correlation of the Nb-REE-Fe mineralization at the Bayan Obo West Mine. The method integrates factor analysis and Back Propagation (BP) neural network technology into processing and modeling of geological data. In this study, the Nb and REE contents of samples were transformed into discrete values to analyze the correlations among the metallogenic elements. The results show weak mineralization correlations between Nb and REEs. Nb and U are closely related in the geochemical patterns, while Fe is closely related to both Th and Mn. LREEs are an important factor for the mineralization of the Bayan Obo deposit, while Fe and Nb can be considered as the results of passive mineralization. On the basis of a metallogenic correlation analysis, the factors affecting the Fe-REE-Nb mineralization were extracted, and the Nb mineralization model was established by the BP neural network. Based on the BP neural network data computing, the variability of the Nb concentration displays a coupled multi-factor nonlinear relationship, which can be used to reveal the inherent metallogenic elemental regularities and predict the degree of element mineralization enrichment in the mining area.

 

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