Institute of Mineral Resources, Tashkent, Uzbekistan

Zh. E. Mukhammedov, Head of Sector, Master of Science
N. A. Abidova, Junior Researcher, Master of Science, nigoraaa8586@gmail.com
N. B. Rakhmonova, Senior Researcher, Doctor of Geological and Mineralogical Sciences
A. Kh. Okhunov, Head of Department, Master of Science
A. T. Kholiyorov, Head of Sector, Doctor of Geological and Mineralogical Sciences

The results of a general statistical analysis are presented as a case-study of the Chukurkuduk deposit, and their significance in estimation of gold reserves is investigated. The relevance, scientific and practical significance, and application of the statistical analysis methods in the field of geology constitute the main focus of this article. The obtained results will serve as a basis for further studies aimed at improving accuracy of gold reserve estimation at the Chukurkuduk deposit and developing recommendations for its efficient exploitation. Dynamics of gold reserves was analyzed using various statistical methods, based on data classification and development of a scientifically grounded approach aimed at increasing reserve estimation accuracy. The study employed both classical and modern statistical methods, including descriptive statistics, variance analysis, trend modeling and geostatistical methods. Using these approaches, the dynamics of data and resource distribution were analyzed, and their relationship with tectonic features was substantiated. The results obtained confirm the high accuracy of geostatistical modeling: the root mean square error based on the cross-validation results was 0.14 g/t, and the correlation coefficient between predicted and actual values was 0.92. This confirms the reliability of the applied interpolation methodology and the validity of the block model. The obtained results have significant scientific and practical importance for the further improvement of geological research and mining processes. Future studies are recommended to focus on application of this methodology to other deposits, data processing using automated algorithms, and implementation of new technological approaches.

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