Testing of algorithms for automated processing of geological databases in mineral quality control flowcharts

The toughened requirements imposed on the quality of minerals and processing products, as well as the tendency of drop in the average contents of useful components, increase in harmful impurities, growing mining depths and haulage distances call for modern approaches to the appraisal of geo-resources, to the integrated management and to enhancement of mining efficiency. The article presents the research results on automated processing of detailed and operational exploration information in a unified format of databases of modern mining and geological information systems for solving problems connected with mining quality management and planning. The express analysis algorithm of the variability of mineral quality attributes is based on public information programs and on the high-level programming language Python. Modeling is used to analyze the change in the estimate parameters of mineral quality in different directions of mine field development (longitudinal, transverse) with sections characterized by different steps of mining front advance and excavation panel lengths. The number of wells and sampling intervals are correlated with the calculated coefficients of variation. The mineral quality control flowcharts are proposed for different coefficients of variation and degrees of complexity of ore–rock interfaces.

Yakovlev A. M. Testing of algorithms for automated processing of geological databases in mineral quality control flowcharts. MIAB. Mining Inf. Anal. Bull. 2021;(5—1):248— 257. [In Russ]. DOI: 10.25018/0236_1493_2021_51_0_248.

The article is based on the R&D project implemented within the framework of the Basic Research Program of the Governmental Academies of Sciences, Topic 1: Methods to Take into Account Transient Processes in Mining Deep-Seated Mineral Deposits of Complex Structure, No. 0405-2019-0005.

Yakovlev A. M., researcher, Quality management sector, Institute of Mining of Ural branch of RAS, Ekaterinburg, Russia, quality@igduran.ru.

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