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TECHNOLOGICAL MINERALOGY
ArticleName Preliminary assessment of technological types of titanomagnetite ores
DOI 10.17580/or.2018.03.10
ArticleAuthor Kantemirov V. D., Yakovlev A. M., Titov R. S., Kozlova M. V.
ArticleAuthorData

Institute of Mining, Ural Branch of the Russian Academy of Sciences (Ekaterinburg, Russia):
Kantemirov V. D., Quality Management Sector Chief, Candidate of Engineering Sciences, ukrkant@mail.ru
Yakovlev A. M., Senior Researcher, quality@igduran.ru
Titov R. S., Senior Researcher, ukrigd15@mail.ru
Kozlova M. V., Technicist

Abstract

In order to develop methodological approaches to substantiation of quality management systems for mineral raw materials and to refine the technologies and criteria for ore types zoning in the quarry space, the possibilities of individual techniques for preliminary assessment of the qualitative properties of ores were analyzed. Using the geological database for the Gusevogorskoye titanomagnetite ore deposit, an analysis of the methods for preliminary assessment of qualitative characteristics of the mineral was performed. A statistical evaluation of the detailed exploration data for the quarries of EVRAZ KGOK OJSC is presented and regression equations are obtained for the interconnection of the grades of valuable components in the ore. Based on the generalization of the existing criteria for the evaluation of titanomagnetite ores of the Gusevogorskoye deposit, the complex dressability index is established, which is then used to build mining and geometric models and to perform ore types zoning on the example of the Northern quarry. Calculations are performed to establish the contrast index for the titanomagnetite ore within the Northern quarry. The results of block modeling using forecast ore contrast values within the horizon of +160 m are presented. The scientific results obtained will serve as the basis for subsequent studies on improving the mine planning methodology in the quality management of mineral raw materials and increasing the efficiency of ore dressing.
The studies were carried out within the framework of State Assignment No.007-00293-18-00, subject No.0405-2018-0002, project No. 18-5-2345-56 titled «Development of the Earth’s interior: Substantiation of ore conditioning methods for deep complex processing of mineral raw materials and increasing metallurgical production performance».

keywords Titanomagnetites, distribution of ore types, statistical analysis, ore contrast, grades, distribution, quarry
References

1. Kornilkov S. V., Dmitriev A. N., Pelevin A. E., Yakovlev A. M. Separate processing of ore at Gusevogorsky deposit. Gornyi Zhurnal. 2016. No. 5. pp. 86–89.
2. Yaskovskiy P. P. Mining and geological conditions in the evaluation of deposits. Moscow: MGGA, 2001. 37 p.
3. Pirogov B. I. Technological mineralogy of iron ores. St. Petersburg: Nauka, 1992. 236 p.
4. Izoitko V. M. Technological mineralogy and ore evaluation. St. Petersburg: Nauka, 1997. 572 p.
5. Petrov S. V., Mishulovich P. М., Smolensky V. V. The principles of building a block geological-and-processing model of mineral deposit. Obogashchenie Rud. 2010. No. 6. pp. 34–38.
6. Pukhalskiy L. Ch. The theory of uranium ores contrast. Moscow: Gosatomizdat, 1963. 176 p.
7. Mokrousov V. A. Ores contrast, its definition and use in the evaluation of dressability. Mineral Raw Material. 1960. Iss. 1. pp. 70–75.
8. Azbel E. I., Baranov E. G., Izoitko V. M., Krapivskiy E. I., Krotkov M. I., Leman E. P., Petrov A. S., Revnivtsev V. I. Preparation of mineral raw materials for enrichment and processing. Moscow: Nedra, 1987. 307 p.
9. Kantemirov V. D., Titov R. S., Yakovlev A. M. Appraisal of titanium magnetite ores mineral composition effect upon magnetic concentration results. Obogashchenie Rud. 2017. No. 4. pp. 36–40.
10. Kozin V. Z. Technological balance of concentrating factories. Ekaterinburg: UGGU Publ., 2017. 150 p.
11. Polyakov O. A. Graphic analytical treatment of minerals separation by X-ray radiometric. Vestnik Zabaykalskogo Gosudarstvennogo Universiteta. 2013. No. 2 (93). pp. 38–48.
12. Ovseichuk V. A., Morozov A. A., Tirsky A. V., Podoprigora V. E. Dependence of uranium ores grading on their contrast by radiometric. Vestnik Zabaykalskogo Gosudarstvennogo Universiteta. 2014. No. 7 (110). pp. 4–10.
13. Konev A. B., Kiseleva S. P., Shtresler K. A., Mironova Zh. V. Problems of mining of non-ferrous metals and gold deposits with pre-enrichment. Zapiski Gornogo Instituta. 2013. Vol. 205. pp. 179–184.
14. Babich I. N. The optimization of technological study of ores by results of the evaluation their contrast in the bowels. Ratsionalnoye Osvoyenie Nedr. 2015. No. 5–6. pp. 45–50.
15. Leuangthong O., Khan K. D., Deutsch C. V. Solved problems in geostatistics. John Wiley & Sons, 2011. 208 p.
16. Monestiez P., Allard D., Froidevaux R. GeoENV III — geostatistics for environmental applications. New York: Springer, 2001. 555 p.
17. Armstrong M. Basic linear geostatistics. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. 155 р.

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