Academic Journal
ГЕОИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ ПРИ МОДЕЛИРОВАНИИ КАЧЕСТВЕННЫХ ХАРАКТЕРИСТИК РУД
| Title: | ГЕОИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ ПРИ МОДЕЛИРОВАНИИ КАЧЕСТВЕННЫХ ХАРАКТЕРИСТИК РУД |
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| Authors: | Титов, Р.C. |
| Publisher Information: | Institute of Mining, Ural Branch of the Russian Academy of Sciences, 2019. |
| Publication Year: | 2019 |
| Subject Terms: | ГИС, горно-геологическая информационная система, mining and geological information system, technological types of ores. block modeling, качество руд, quality of ores, GIS, технологические типы руд, блочное моделирование |
| Description: | The article presents the results of the development of methods of zoning in the quarry space of technological types of ores, taking into account the comprehensive assessment of the quality characteristics of the mineral on the basis of modern geoinformation technologies. To interpret the data in GIS there are 2 main methods: the Express and detailed methods, which require the prior establishment of the geologich-tion databases, and reliably assess and zoning in karyes-re ore quality characteristics. The methods differ in the complexity of implementation, detail and the possibility of adjustments to the constructed models, depending on the established or changed requirements for the quality of the mineral. The presented mining and geological information system makes it possible to zone technological types and grades of ores with high reliability in the quarry space, which contributes to the selection of the most effective method of ore preparation in the mode of ore quality management for specific mining and geological conditions at the stage of mining planning. In modern conditions, GIS with the function of rapid analysis of promising deposits and detailed information about the mining and geological conditions of its development is a necessary tool for preliminary mining and technological calculations and economic assessment of the feasibility of mineral resources development. |
| Document Type: | Article Contribution for newspaper or weekly magazine |
| Language: | Russian |
| DOI: | 10.25635/im.2019.19.42884 |
| Accession Number: | edsair.doi...........0dc58f99265f2edfa717a689892d2573 |
| Database: | OpenAIRE |
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