Application of Multivariate Statistical Analysis in the Study of Bayan Obo Fe-REE-Nb Deposit

This paper employs SPSS software to conduct a comprehensive analysis of the main ore-forming elements in Bayan Obo deposit through correlation analysis, cluster analysis, and factor analysis, with the aim of identifying their symbiotic associations. Meanwhile, Surfer software is used to explore the spatial distribution of ore-forming elements. The results show that the main ore-forming elements in Bayan Obo deposit can be divided into two groups of characteristic paragenetic elements: TFe-ThO2-Nb2O5-Sc2O3 and REO-CaF2, which represent the iron-niobium mineralization and REE-fluorite mineralization, respectively, in the mining area. Futhermore, combined with the geological background analysis, the distribution characteristics of the main ore-forming elements in Bayan Obo deposit are revealed, which provides scientific data and theoretical basis for finding the same type of deposit and promoting the development and utilization of resources.