Article 5121

Title of the article

Geostatistical analysis of the resource base of the deposit based on wireframe models’ 3D creation of mineralized zones 

Authors

Sergey N. Goncharenko, Doctor of engineering sciences, professor, professor of the sub-department of automated control systems, National University of Science and Teсhnology MISIS (4 Leninsky avenue, Moscow, Russia), E-mail: gs16@mail.ru 

Index UDK

004.02:622.22 

DOI

10.21685/2072-3059-2021-1-5 

Abstract

Abstract. Background. The relevance of the research is due to the need to clarify the corresponding cut-off grades in mineral resources, both for near-surface and deep mineralization of the deposit. This premise is related to the fact that the main risk in relation to the prospects for the development of the mineral resources of the deposit is associated with the quality of the analysis results used in the calculation of reserves. In this regard, the purpose of the work was to carry out a number of verification calculations for the percentage of ore blocks using 3D engineering and geological modeling using geostatistical indicators, which made it possible to find out the presence of a more complex distribution of the ore body grades.
Materials and methods. The work includes an expert assessment of the modern geological interpretation of the mineral resources of the deposit, as well as a procedure for performing the work carried out to calculate them.
Results. A geological model was prepared based on the results of interpretation of well sections and bench plans, and data was digitized in the form of 3D wireframes for sampling and volume estimation. The procedures for statistical and geostatistical analysis have been implemented, which have made it possible to develop approaches to compositing and processing the contents of a useful component.
Conclusions. The developed block model of the field made it possible to classify resources, as well as to assess the adequacy of the resource model by methods of statistical and visual verification of the estimated contents. 

Key words

deposit resource modeling, geostatistical analysis, block model of the deposit, mineralization interpretation, mineralization zones, Kriging’s algorithms 

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References

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Дата создания: 14.05.2021 10:28
Дата обновления: 14.05.2021 10:57