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SOURCES AND WAYS OF REDUCING THE ERRORS IN THE ESTIMATION OF QUANTITY AND QUALITY OF RESERVES OF ALLUVIAL DEPOSITS

Evgenii Khoiutanov, С. М. Ткач, Yurii Andreev

First published: 2025-08-15https://doi.org/10.5593/sgem2025/1.1/s01.10View metrics

Abstract

The article considers the systematic errors of estimation of reserves and average contents of useful component in exploration of alluvial deposits of nesting, tape, etc. structures. The article identifies and evaluates the main components of systematic errors in the assessment of mineral content, useful and harmful components in alluvial deposits based on theoretical, experimental and generalized published works: insufficient density of the exploration network; error due to unrepresentative sample size. These errors in the sum result in errors of allocation of counting blocks, errors in the average contents of blocks, errors of contouring of industrial sites and in general - to errors of estimation of deposits. This analysis suggests that the main reason for the omission of industrial sites in the deposits as well as the reason for the errors in the estimation of the reserves of useful components (underestimation), are the noted morphological features of the deposits. The article identifies more accurate estimates of systematic errors in calculation of reserves and indicates ways to increase the accuracy of estimation of metal reserves in placers of different morphological types. Geophysical technologies for the identification of the objects under consideration by a corresponding set of related geological factors can be a significant positive advance in this problem. Implementation of new error assessment methods and recommendations for their minimization reduces geological risks and operating costs in mining and processing.

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Publication details

Title
SOURCES AND WAYS OF REDUCING THE ERRORS IN THE ESTIMATION OF QUANTITY AND QUALITY OF RESERVES OF ALLUVIAL DEPOSITS
Authors
Evgenii Khoiutanov, С. М. Ткач, Yurii Andreev
Proceedings
25th International Multidisciplinary Scientific GeoConference Proceedings SGEM2025, Science and Technologies in Geology, Exploration and Sustainable Mining
Publisher
STEF92 Technology
Year
2025
Pages
71-78
SWS Citekey
Khoiutanov202517178
ISSN
1314-2704; 13142704
ISBN
9786197603798
Language
en
Publication type
Conference Paper
Proceedings contents
Open official contents
Keywords
reservesestimationerrorsdensity of the exploration networkunrepresentative sample size
References11

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