OPTIMISATION OF KAOLIN DEPOSIT MODELING USING GEOSTATISTICAL METHODS OF SPATIAL INTERPOLATION
Ihor Piskun, Lesia Sitsinska, Roman Ihnatiuk
State University “Zhytomyr Polytechnic”, 10005 Zhytomyr, E-mail: ihor@ztu.edu.ua, lesly311878@gmail.com, krrkp_irm@ztu.edu.ua
Corresponding author: ihor@ztu.edu.ua
ABSTRACT. The paper presents a comprehensive approach to optimising kaolin deposit modelling using geostatistical methods of spatial interpolation. The study focuses on improving the assessment of the spatial distribution of mineral components using the example of the Yosypivka kaolin deposit. To enhance the accuracy of mineral resource forecasting, a comparative analysis of various interpolation methods, including Inverse Distance Weighting (IDW) and Kriging, was conducted, emphasizing their efficiency in modelling the spatial variability of the chemical composition of the raw material.
The primary methodological foundation of the study is geostatistical analysis, which includes variogram analysis, spatial interpolation, and statistical data processing. Key variogram parameters were determined, reflecting the spatial correlation of Al₂O₃, Fe₂O₃, TiO₂, and K₂O contents. The obtained results indicate the feasibility of applying the Ordinary Kriging method for predicting the spatial distribution of mineral components, as it allows for consideration of the anisotropy of geological formations and the spatial dependence of data. Additionally, a correlation analysis of the chemical composition of kaolin raw materials was conducted, revealing medium-intensity relationships between major mineral components, particularly between Al₂O₃ and TiO₂. The identified correlations formed the basis for further modelling using Co-Kriging, enabling the integration of interdependent parameters into the interpolation process and improving the accuracy of the obtained forecasts.
Key words: kaolin deposits, geostatistics, spatial modelling, variogram analysis, Ordinary Kriging, Co-Kriging
https://doi.org/10.58903/dw18921570
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