1887

Abstract

Summary

The study focuses on creating a digital geological model of tin placer deposits in the Sushchany-Perga zone of Ukraine using Micromine software. This region contains significant beryllium, zirconium, rare earth elements, and tin resources. The research employed an integrated approach to digital geological modeling, implementing a multi-stage methodology from data preparation to three-dimensional visualization. Analysis of exploration borehole distribution revealed an optimal network with three northeastern-oriented profiles that identified industrial tin mineralization at 60–120 m depths. The SOLID model demonstrated high-grade ores (>0.2% Sn) concentrated in the central deposit area, forming lens-like bodies 2–8 m thick with distinct anisotropy along the northeastern strike direction (azimuth 45–50°). The three-dimensional wireframe model revealed complex ore body morphology with variable dip angles (15–30°) and continuity over 400 meters, covering approximately 45,000 m2. Several zones of morphological complexity characterized by abrupt thickness variations and structural disruptions were identified, creating horst and graben microstructures that impact ore continuity. The research demonstrates how advanced digital modeling techniques can optimize exploration and development of strategically important tin deposits, contributing to strengthening Ukraine’s mineral resource base.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.2025510217
2025-04-14
2026-02-15
Loading full text...

Full text loading...

/deliver/fulltext/2214-4609/2025/monitoring_2025/Mon25-217.html?itemId=/content/papers/10.3997/2214-4609.2025510217&mimeType=html&fmt=ahah

References

  1. Da-chao, Z. (2011). Application of geological modeling technique with Micromine in a copper-nickel mine. Mining Technology, 11(4), 38–42.
    [Google Scholar]
  2. de Kemp, E. D. (2021). Spatial agents for geological surface modelling. Geoscientific Model Development, 14(5), 3527–3549.
    [Google Scholar]
  3. Gang, L. (2011). A study on the application of Micromine digital mine model to geological mining. Yunnan Geology, 30(3), 371–374.
    [Google Scholar]
  4. Guo, X., Li, J., Jia, Y. H., Yuan, G., Zheng, J. L., Liu, Z. (2023). Geochemistry process from weathering rocks to soils: Perspective of an ecological geology survey in China. Sustainability, 15(2), 1002–1018.
    [Google Scholar]
  5. Kapelista, I., Kireitseva, H., Tsyhanenko-Dziubenko, I., Khomenko, S., Vovk, V. (2024). Review of Innovative Approaches for Sustainable Use of Ukraine's Natural Resources. Grassroots Journal of Natural Resources, 7(3), 378–395.
    [Google Scholar]
  6. Lupashko, T. (2017). Crystal chemistry and genetic features of fluorite from the Sushchano-Perzhanska tectonic zone (Ukrainian Shield). Mineralogical Journal, 39(3), 31–45.
    [Google Scholar]
  7. Mychak, S., Farfuliak, L. (2021). Results of the tectonophysical study in the Sushchany-Perga fault zone of the western part of the Ukrainian Shield. Geoinformatics, 2021(1), 1065–1070.
    [Google Scholar]
  8. Pats, R., Derevska, K., Kozhenevskyi, S. R., Rudenko, K. (2016). Tectonic conditions of granite boulder rocks formation in the geological reserve “Stone Village”: (northern part of Volyn megablock). Geological Journal, 4(357), 59–67.
    [Google Scholar]
  9. von Harten, J., de la Varga, M., Hillier, M., Wellmann, F. (2021). Informed local smoothing in 3D implicit geological modeling. Minerals, 11(11), 1281–1297.
    [Google Scholar]
  10. Yan-fen, L. (2013). Micromine 3D geologic modeling and its geological significance. International Journal of Mining Science and Technology, 23(5), 723–728.
    [Google Scholar]
/content/papers/10.3997/2214-4609.2025510217
Loading
/content/papers/10.3997/2214-4609.2025510217
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error