Improving the geometrization reliability of qualitative indicators of phosphate ores during their open mining on the example of the Kovdorskoye apatite and staffelite ore field
https://doi.org/10.32454/0016-7762-2022-64-5-64-72
Abstract
Background. In this paper, available methods for determining the geometry and density of exploration networks used in operational planning are discussed, along with approaches to determining the permissible error limits in the assessment of geological indicators. The Kovdorskoye apatite and staffelite ore field was selected as a research object.
Aim. To determine the rational parameters of an in-mine sampling network for use in operational planning of phosphate ore mining.
Materials and methods. The research was carried out as part of a project on the development of a methodology for operational in-mine sampling of apatite and staffelite ores. Quantitative data were processed and analyzed using the methods of mathematical statistics and cartography.
Results. The conducted geometric autocorrelation and assessment of the anisotropy of variability in the content of components, which determine the quality of mineral raw materials, allowed the author to establish the rational parameters of an operational in-mine sampling network during the extraction of phosphate raw materials from the Kovdorskoye apatite and staffelite ore field.
Conclusion. The absence of a pronounced anisotropy in the content of P2O5 and CO2 in apatite and staffelite ores was established, which implies the feasibility of using a uniform in-mine sampling network. The parameters of such a network were determined, which confirm the need to sample the rock cuttings in each borehole.
About the Author
E. B. Yanitskiy
OJSC “VIOGEM”
Russian Federation
Russian Federation
Evgeniy B. Yanitskiy — Cand. of Sci. (Geography), Deputy General Director for Research and Development, Head of the Laboratory of Mining Geology
86, B. Hmel`nitskogo ave., Belgorod 308007
+7 (4722) 73-25-15
References
1. Alekseev N.F. The problem of geological and industrial assessment of ore deposits // Izvestiya VUZov. Geology and exploration. 1988. No. 6. P. 53—59.
2. Bogatsky V.V. Mathematical analysis of the exploration network. Moscow: Gosgeoltekhizdat, 1963. 212 p.
3. Vasiliev S.P. The method of economic equivalence in determining the frequency of boreholes during detailed exploration for coal in the Moscow Basin // Exploration and protection of mineral resources. 1950. No. 1. P. 29—34.
4. Vikentiev V.A., Voronkov V.A., Kushnarev P.I., Yaskovskiy P.P. On properties of geometrization errors // Proceedings of higher educational establishments. Geology and Exploration. 1979. No. 2. P. 122—128.
5. Guskov O.I., Shumilin M.V. On the application of statistical methods to analyze the density of the exploration network. News of higher educational institutions // Geology and exploration. 1968. No. 6. P. 69—77.
6. Dementiev L.F., Khitrov E.A., Shurubor Yu.V. Application of information measures in oilfield geology // Proceedings. Perm State Research and Design Institute of the Oil Industry “Permnipineft”. 1974. Iss. 10. 155 p.
7. Dunaev V.A., Yanitskiy E.B. Technique for sampling drilling blast hole cuttings during open pit mining of the Kovdorskoye apatite-shtaffelite deposit // Proceedings of higher educational establishments. Geology and Exploration. 2014. No. 1. P. 30—36.
8. Zagibalov A.V. Application of simulation modeling methods for exploration of alluvial gold deposits for the study of errors in delineation and calculation of reserves // Mining Information and Analytical Bulletin. 2010. No. 3. P. 166—176.
9. Zenkov D.A. Methods for determining the density of the exploration network // Soviet Geology. 1957. No. 61. P. 130—143.
10. Kazhdan A.B. On the mathematical description of the variability of geological exploration parameters of ore deposits // Mathematical methods in geology. Moscow: Nedra, 1968. P. 92—99.
11. Kazhdan A.B. Exploration of mineral deposits. Mpscow: Nedra, 1974. 327 p.
12. Kallistov P.L. Variability of mineralization and density of observations during exploration and sampling // Soviet Geology. 1956. No. 53. P. 118—131.
13. Lebedev G.V. Methods for determining the parameters of sampling systems // Bulletin of the Perm University. Geology. 2007. No. 4(9). P. 76—90.
14. Lebedev G.V. On methods for determining the parameters of sampling systems // Geometrization and analysis of geological fields of mineral deposits. Perm, 1981. Iss. 1. P. 14—40.
15. Lebedev G.V., Nabiulin V.I. Technique for determining the optimal observation network under conditions of hidden periodicity of geological fields // Bulletin of the Perm University. Geology. 2008. No. 10(26). P. 83—90.
16. Mambueni P. Application of geological and economic analysis to substantiate the optimal network of exploration of ore deposits (on the example of vein deposits of tin): abstract. dis. … cand. geol-miner. sciences. Moscow, 2004. 23 p.
17. Materon Zh. Fundamentals of applied geostatistics. Moscow: Mir, 1968. 408 p.
18. Miller R.L. Statistical analysis in geological sciences. Moscow: Mir, 1965. 480 p.
19. Mining S.S. Determination of the optimal parameters of the sampling network for drilling and blasting wells in the extraction areas of the Mikhailovskoye field // Mining Information and Analytical Bulletin. 2004. No. 2. P. 191—195.
20. Myagkov V.F., Lebedev G.V. Autocorrelation method for determining distances between samples // Geology of mineral deposits of the Urals and new methods of their study: Proceedings. scientific report. meeting Sverdlovsk, 1974. P. 203—204.
21. Nizguretsky Z.D. Some features of the use of the method of moving averages in geometrization // Collection of works on the study of rock pressure and displacement of rocks. Leningrad: Nedra, 1961. P. 83—91.
22. Redkin G.M. non-stationary anisotropic mathematical modeling of inhomogeneities of systems of mineral raw materials. Moscow: Publishing house of the Association of construction universities, 2007. 500 p.
23. Ruposov V.L. The study of the density of the exploration network in the exploration of iron ore deposits of the Angaro-Ilim type based on simulation: abstract. dis. … cand. geol-miner. sciences. Irkutsk, 2002. 22 p.
24. Smirnov V.I. On the density of the exploration network // Soviet Geology. 1957. No. 58. P. 150—162.
25. Snetkov V.I. Criterion for optimal approximation of geological indicators using Fourier series // Bulletin of the Kuzbass State Technical University. 2005. No. 5. P. 11—15.
26. Snetkov V.I. Substantiation of methods for qualimetric evaluation of reserves of solid minerals: abstract. dis. … doct. tech. sciences. Moscow, 2005. 40 p.
27. Stolchnev V.G. Geometrization of deposits from the standpoint of “non-Euclidean” geometry // Mine surveying and subsoil use. 2004. No. 3. P. 43—62.
28. Yanitskiy E.B. Dunaev V.A. Substantiation of the method of operational testing of apatite-staffelite ores of the Kovdor deposit // Mining Information and Analytical Bulletin. 2015. No. 3. P. 87—97.
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For citations:
Yanitskiy E.B. Improving the geometrization reliability of qualitative indicators of phosphate ores during their open mining on the example of the Kovdorskoye apatite and staffelite ore field. Proceedings of higher educational establishments. Geology and Exploration. 2022;(5):64-72. (In Russ.) https://doi.org/10.32454/0016-7762-2022-64-5-64-72
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