- Abstract:
- The article presents the provisions of the developed methodology for assessing the quality indicators of minerals based on block modeling technologies using modern mining and geological information systems (GGIS). A flowchart for modeling the qualitative indicators of a mineral is proposed and the results of its use are presented on the example of the Gusevogorsky deposit of titanomagnetites and the Serov deposit of complex ores. The presented methodology allows us to zone technological types and grades of ores with high reliability in the quarry space, which contributes to solving the problems of design, planning and production management in conditions of economic uncertainty, deteriorating mining and geological and mining-technological conditions of field development. Based on the analysis of computer modeling techniques, a flowchart has been developed showing the relationship between technological solutions for open-pit mining and modeling stages. The article uses examples to confirm the universality of the proposed method of block modeling of the quality of PI, which can be used at any field to solve specific mining problems. The presented scientific results serve as a basis for the development of methods for managing the quality of mineral raw materials and improving the planning of mining operations in the quality management mode. The proposed methodology is universal and allows for the assessment of the quality indicators of minerals for the selection of rational methods of quality management of mineral raw materials.
- Keywords:
- mining and geological information system, GIS, qualitative characteristics of ores, block modeling, geometrization, geological database
- For citation:
- Yakovlev V. L., Kantemirov V. D., Yakovlev A. M., Titov R. S. Methodology for evaluating geological databases for the purpose of zoning technological types and grades of ores in open-pits. Mine Surveying and Subsurface Use. 2024;(5):12-20. (In Russ.). https://doi.org/10.56195/20793332_2024_5_12_20.
- Information about the authors:
-
- Viktor L. Yakovlev - Corresponding Member of the Russian Academy of Sciences, Adviser of the Russian Academy of Sciences, Dr. Sci. (Eng.), Prof., Institute of Mining, Ural Branch of the Russian Academy of Sciences, Yekaterinburg, Russian Federation, ORCID 0000-0001-5860-9626, e-mail:
This email address is being protected from spambots. You need JavaScript enabled to view it. - Valery D. Kantemirov – Cand. Sci. (Eng.), Quality management laboratory chief, Institute of Mining of Ural branch of RAS, Yekaterinburg, Russian Federation, ORCID 0000-0001-6486-2740, e-mail:
This email address is being protected from spambots. You need JavaScript enabled to view it. - Roman S. Titov – senior researcher, Quality management laboratory, Institute of Mining of Ural branch of RAS, Yekaterinburg, Russian Federation, ORCID 0000-0002-3569-2743, e-mail:
This email address is being protected from spambots. You need JavaScript enabled to view it. - Andrei M. Yakovlev – Cand. Sci. (Eng.), senior researcher, Quality management laboratory, Institute of Mining of Ural branch of RAS, Yekaterinburg, Russian Federation, ORCID 0000-0001-8285-6387, e-mail:
This email address is being protected from spambots. You need JavaScript enabled to view it.
- Viktor L. Yakovlev - Corresponding Member of the Russian Academy of Sciences, Adviser of the Russian Academy of Sciences, Dr. Sci. (Eng.), Prof., Institute of Mining, Ural Branch of the Russian Academy of Sciences, Yekaterinburg, Russian Federation, ORCID 0000-0001-5860-9626, e-mail:
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