Assessment of Berezkinskoye ore field prospectivity using Micromine software
https://doi.org/10.17073/2500-0632-2022-3-192-202
Abstract
The use of modern computer aided methods, in particular the use of the Micromine software, is an important part of the integrated research for the determination of deposit prospects for various ores. The paper is devoted to the analysis of prospects and estimation of reserves for open-pit and underground mining in the Berezkinskoye ore field. For this purpose, silver reserves were determined as the principal valuable component. The deposit balance reserves were estimated separately for all types of ores in the optimal open pit envelope adopted in the final mining feasibility study (FS of permanent exploration conditions for ore extraction). To vectorize and verify the geological information entered into the database, graphical materials in the form of cross-sections and plans with the corresponding borehole database were georeferenced using the Micromine software. The final inspection was carried out to ensure that the sample depth information entered was consistent with the excavation depth. The database contains information on the location of boreholes and trenches, the design of boreholes, the spatial positioning of the boreholes/trenches axes, the data of sample assays for silver and copper. For underground mining, the delineation of ore bodies was carried out based on the cross-sections identified in the boreholes at a cut-off grade of 10.7 g/t, taking into account the orientation of geological structures. Reliability of the ore bodies delineation was verified in a Micromine three-dimensional model. For open-pit mining, the position of small ore bodies may be clarified by operational exploration with possible subsequent upgrading their reserve categories. The wireframe model of ore zones and bodies was constructed using the outlines obtained by the developed methodology. A wireframe model of faults was based on the Berezkinsky area plans and cross-sections. The construction of the fault wireframe model was performed in several steps. Application of modern geoinformation system (GIS) technologies makes it possible to qualitatively assess the prospects and estimate the reserves at the deposits. The Berezkinskoye deposit ore material composition, metallurgical properties, hydrogeological and geotechnical features were investigated.
About the Authors
I. I. BosikovRussian Federation
Igor I. Bosikov – Cand. Sci. (Eng.), Assoc. Professor of the Oil and Gas Department
Scopus ID 56919738300
Vladikavkaz
R. V. Klyuev
Russian Federation
Roman V. Klyuev – Dr. Sci. (Eng.), Professor of the Department of the Technique of Low Temperature name P. L. Kapitza
Scopus ID 57194206632
Moscow
References
1. Parilov Yu.S. Assessment of Kazakhstan’s subsurface for own silver mineralization. Geology and Bowels of the Earth. 2019;(3):4–19. (In Russ.)
2. Gazeev V.M., Gurbanov A.G., Kondrashov I.A. Mesozoic subalkaline rocks of Central part of the Northern Caucasus: geodynamical typification, geochemistry and minerageny. Geology of the South of Russia. 2019;9(3):47–62. (In Russ.) https://doi.org/10.23671/VNC. 2019.3.36479
3. Maksarov R.A., Prokopiev I.R., Doroshkevich A.G., Redin Yu.О., Malyutina A.V. New data on the mineralogy of the gold-sulfide ore type of the Karalveem deposit, Chukotka. Ores and Metals. 2022;(1):24–43. (In Russ.). https://doi.org/10.47765/0869-5997-2022-10002
4. Podrezov D.R. Methods and models of identification of reserves of technological units of uranium well leaching mine. Caspian Journal: Management and High Technologies. 2020;(2):32–43. (In Russ.). https://doi. org/10.21672/2074-1707.2020.50.2.032-043
5. Abakumov I.V. Revaluation of alluvial deposits residual reserves of boulder chrome ores of the Saranovsky ore field. News of the Ural State Mining University. 2020;(2):74–82. (In Russ.). https://doi. org/10.21440/2307-2091-2020-2-74-82
6. Cohen M.W., Coelho V.N. Open-pit mining operational planning using multi agent systems. Procedia Computer Science. 2021;192:1677–1686. https://doi.org/10.1016/j.procs.2021.08.172
7. Saleki M., Kakaie R. Ataei M. Mathematical relationship between ultimate pit limits generated by discounted and undiscounted block value maximization in open pit mining. Journal of Sustainable Mining. 2019;18(2):94–99. https://doi.org/10.1016/j.jsm.2019.03.003
8. Fedotov G.S., Pastikhin D.V. Influence of access road pattern on mine rock volume within the ultimate pit limit. Mining Informational and Analytical Bulletin. 2019;(6):115–123. (In Russ.). https://doi. org/10.25018/0236-1493-2019-06-0-115-123
9. Fedotov G.S., Pastikhin D.V. Methods of opening position optimization in ultimate pit design. Journal of Sustainable Mining. 2020;(S8):3–13. (In Russ.). https://doi.org/10.25018/0236-1493-2020-3-8-3-13
10. Manikovsky P.M., Vasyutich L.A., Sidorova G.P. Micromine methodology for modeling ore deposits in the GIS Micromine. Transbaikal State University Journal. 2021;27(2):6–14. (In Russ.). https://doi. org/10.21209/2227-9245-2021-27-2-6-14
11. Tretiakova O.G., Tretiakov M.F., Sofronov G.V. Modeling of terrigenous collectors and assessment of forecast resources of placer diamond potential on Khanninsky site with the mining-and-geological information system (GGIS) Micromine. Vestnik of North-Eastern Federal University: Earth Sciences. 2019;4(16):20–30. (In Russ.). https://doi.org/10.25587/SVFU.2020.16.49722
12. Mery N., Emery X., Cáceres A., Ribeiro D., Cunha E. Geostatistical modeling of the geological uncertainty in an iron ore deposit. Ore Geology Reviews. 2017;88:336–351. https://doi.org/10.1016/j.oregeorev.2017.05.011
13. Mehrabi B., Fazel E., Yardley B. Ore geology, fluid inclusions and O-S stable isotope characteristics of Shurab Sb-polymetallic vein deposit, eastern Iran. Geochemistry. 2019;79(2):307–322. https://doi. org/10.1016/j.geoch.2018.12.004
14. Lyashenko V.I., Khomenko O.E., Golik V.I. Friendly and resource-saving methods of underground ore mining in disturbed rock masses. Mining Science and Technology (Russia). 2020;5(2):104–118. (In Russ.). https://doi.org/10.17073/2500-0632-2020-2-104-118
15. Bosikov I.I., Klyuev R.V., Gavrina O.A. Analysis of geological-geophysical materialsand qualitative assessment of the oil and gas perspectives of the Yuzhno-Kharbizhinsky area (Northern Caucasus). Geologiya i Geofizika Yuga Rossii. 2021;11(1):6–21. (In Russ.). https://doi.org/10.46698/VNC.2021.36.47.001
16. Saveliev D.E., Makatov D.K., Portnov V.S., Gataullin R.A. Morphological, textural and structural features of chromitite deposits of main ore field of Kempirsay massif (South Urals, Kazakhstan). Georesursy. 2022;24(1):62–73. (In Russ.). https://doi.org/10.18599/grs.2022.1.6
17. Stolyarenko V.V., Minakov A.V., Ryaboshapko A.G., Minaeva S.V., Alferova V.A. Mineral potential modelling for gold mineralization withinthe mesozoic depressions in the Central Aldan ore-placer region (on the example of the Upper Yakokut ore field). Ores and Metals. 2022;(1):44–76. (In Russ.). https://doi. org/10.47765/0869-5997-2022-10003
18. Klyuev R.V., Bosikov I.I., Mayer A.V., Gavrina O.A. Comprehensive analysis of the effective technologies application to increase sustainable development of the natural-technical system. Sustainable Development of Mountain Territories. 2020;12(2):283–290. (In Russ.). https://doi.org/10.21177/1998-4502-2020-12-2-283-290
19. Tyulenev M.A., Markov S.O., Gasanov M.A., Zhironkin S.A. Numerical Modeling in the Structural Study of Technogenic Rock Array. Geotechnical and Geological Engineering. 2018;36(5):2789–2797. https://doi.org/10.1007/s10706-018-0501-3
20. Hazra T., Samanta B., Dey K. Real option valuation of an Indian iron ore deposit through system dynamics model. Resources Policy. 2019;60:288–299. https://doi.org/10.1016/j.resourpol.2019.01.002
Review
For citations:
Bosikov I.I., Klyuev R.V. Assessment of Berezkinskoye ore field prospectivity using Micromine software. Mining Science and Technology (Russia). 2022;7(3):192-202. https://doi.org/10.17073/2500-0632-2022-3-192-202