USING ECONOMIC INDICATORS IN MEDIUM-TERM MINING PLANNING IN MICROMINE MINING AND GEOLOGICAL INFOR-MATION SYSTEMCROMINE MINING-GEOLOGICAL INFORMATION SYSTEM


https://doi.org/10.17073/2500-0632-2018-2-60-67

Full Text:


Abstract

Mining and geological information systems find growing application at modern mining enterprises, therefore, competent use of the software system functionality and development of appropriate techniques is very important and urgent issue. The paper describes the technique for medium-term planning of underground mining using the example of a copper deposit with applying room-and-pillar mining method in the Micromine mining and geological information system. Special attention is paid to taking into account various economic indicators when determining the sequence and methods of the deposit development. A list of data required for implementation of this technique when planning underground mining in the Micromine software product is presented. The use of the proposed technique allows at the planning stage to determine the main technical and economic indicators, as well as assess effectiveness of the selected direction of mining. The paper provides illustrations of the results of applying the developed technique, as well as examples of reporting documentation in the Micromine mining and geological information system.


About the Authors

A. V. Protsenko
National University of Science and Technology "MISiS"
Russian Federation
4, Leninsky Prospekt, Moscow, Russia, 119991


J. B. Byyrov
Property of companies with state participation (without foreign participation) "Micromine Central Asia"
Kazakhstan

97/A, Ascarova str., Adhesion, Medeus distr., Almaty, The Republic of Kazakhstan, 050059



G. S. Fedotov
National University of Science and Technology "MISiS"
Russian Federation
4, Leninsky Prospekt, Moscow, Russia, 119991


L. Z. Zartenova
Property of companies with state participation "Kazakhmys Corporation"
Kazakhstan

12, Lenin str., distr. named after Kazybek B.I., Karaganda, , The Republic of Kazakhstan, 100012



References

1. Kaputin Yu.Eh. Sistemy kontrolya soder-zhanij (Grade conrol) na gornyh predpriyatiyah [Content control systems (Grade conrol) in mining enterprises]. St. Petersburg, Nedra, 2012, 330 p.

2. Protsenko A.V., Bajrov ZH.B., Zartenova L.G., Protsenko N.V. Algoritm operativnogo planirovaniya na rudnikah s ispol'zovaniem PO MICROMINE. EHkonomika i upravlenie v XXI veke: Tendencii razvitiya. [Algorithm for operational planning at mines using MICROMINE software. Economics and Management in the 21st Century: Development Trends]. Sbornik materialov XXXVII Mezhdunarodnoj nauchno-prakticheskoj konferencii [Coll. of mater. of the XXXVII Int. Sci. and Pract. Conf.]. Novosibirsk, LLC "Center for the Development of Scientific Cooperation", 2017, pp. 143-149.

3. Procenko A.V., Zartenova L.G. Vnedrenie sovremennyh tekhnologij v planirovanie gornyh rabot v TOO "Korporaciya Kazahmys", Respublika Kazahstan [Introduction of modern technologies in mining planning in "Kazakhmys Corporation" LLP, Republic of Kazakhstan]. Problemy osvoeniya nedr v HKHI veke glazami molodyh: sb. mater. 11 Mezhdunar. nauch. shkoly molodyh uchenyh i specialistov [Problems of subsoil development in the 21st century through the eyes of young people: Sat. mater. 11 Intern. sci. schools of young scientists and specialists]. Moscow: IPKON RAN, 2014, pp. 337-340.

4. http://www.micromine.ru/micromine-mining-software (Date of circulation: 01/05/2018).

5. Kaputin Yu.E. Informacionnye tekhnologii planirovaniya gornyh rabot (dlya gornyh inzhenerov) [Information technologies of mining planning (for mining engineers)] St. Petersburg, Nedra, 2004, 334 p.

6. Kaputin Yu.E. Povyshenie ehffektivnosti upravleniya mineral'nymi resursami gornoj kompanii (geologicheskie aspekty) [Improving the management efficiency of mineral resources of the mining company (geological aspects)]. St. Petersburg, Nedra, 2013, 246 p.

7. Rendu J.M. 2014. An introduction to cut-off grade estimation. Second edition (SME). 159 p.

8. Poniewierski J, Negatively Geared Ore Reserves A Major Peril of the Breakeven Cut-off Grade. (PROJECT EVALUATION2016) ADELAIDE, SA, 8–9 MARCH 2016), pp. 1–12.

9. Jack de la Vergne. Hard Rock Miner’s Handbook, Edition 5,2014, 314 p.

10. John Chadwick April International mining. Tomorrow’s underground mine, 2017, pp. 10-28.

11. Lomonosov G.G. Proizvodstvennye processy podzemnoj razrabotki rudnyh mestorozhdenij [Production processes of underground mining of ore deposits]. Moscow, Gornaya kniga [Mining Book], 2013, 517 p.

12. Kaplunov D.R., Ryl'nikova M.V. Kombinirovannaya razrabotka rudnyh mestorozhdenij [Combined mining of ore deposits] Moscow, Gornaya kniga [Mining Book], 344 p.

13. Gurskaya, T.V., Krasavin, A.V., Fedorova, S.V., Khudyakov, P.Yu. Praktiko-orientirovannyj podhod v podgotovke inzhenerov dlya gornodobyvayushchih predpriyat [Practice-oriented approach to mining engineer training]. Moscow, Gornyi Zhurnal, 2018, No. 2, pp. 97-103.

14. Yang W., Zhang M., Mao K. Digitizing and three-dimensional model establishment for Ereen gold ore deposit in Mandal Soum, Selenge Province, Mongolia (2017) Journal of Mines, Metals and Fuels, 65 (11), pp. 610-616.

15. Vasilieva, M.A., Katkov, S.M. Prognozirovanie zon vozmozhnoj tektonicheskoj narushennosti po prochnostnym pokazatelyam porod na baze programmnogo obespecheniya Micromine [Prediction of possible tectonic disturbance zones using rock mass strength characteristics in Micromine] Moscow, Gornyi Zhurnal, 2017, No. 7, pp. 88- 91.

16. Liu, L., Cao, W. Computational 3D modeling on deep structure architecture and implication for ore exploration in the Tongguanshan ore field, Tongling, China. Geotectonica et Metallogenia, 2016, 40 (5), pp. 928-938.

17. Kuznetsov, Yu.N., Stadnik, D.A., Stadnik, N.M., Kurtsev, B.V. Avtomatizirovannoe raspoznavanie geostruktur plastovyh mestorozhdenij [Automatic recognition of the geostructures in the sheet deposits] Moscow, Gornyi Zhurnal, 2016, No. 2, pp. 86-91.

18. Chen J., Tang J., Cong Y., Dong Q., Hao J. Geological characteristics and metallogenic model in the yulong porphyry copper deposit, East Tibet. Acta Geologica Sinica, 2009, 83 (12), pp. 1887-1900.

19. Feng, X.-L., Wang, L.-G., Bi, L. Compartmentation cavability evaluation model of ore body. Yantu Gongcheng Xuebao, Chinese Journal of Geotechnical Engineering, 2009, 31(4), pp. 584-588.

20. Wang, L.-M., Chen, J.-P., Tang, J.-X. 3D positioning and quantitative prediction of Yulong porphyry copper deposit, Tibet, China based on digital mineral deposit model. Geological Bulletin of China, 2010, 29 (4), pp. 565-570.

21. Harcus M. Micromine at Minexpo Mining Magazine, 2012, 204 (6), pp. 22-25.

22. Li R., Wang G., Zhu Y., Qu J. Three dimensional quantitative extraction and integration for geosciences information: A case study of Nannihu Mo deposit area. Proc. of the 16th Int. Association for Math. Geosci.-Geostat. and Geospatial Approaches for the Characterization of Natural Resources in the Environment: Challenges, Processes and Strategies, IAMG 2014, pp. 445-447


Supplementary files

For citation: Protsenko A.V., Byyrov J.B., Fedotov G.S., Zartenova L.Z. USING ECONOMIC INDICATORS IN MEDIUM-TERM MINING PLANNING IN MICROMINE MINING AND GEOLOGICAL INFOR-MATION SYSTEMCROMINE MINING-GEOLOGICAL INFORMATION SYSTEM. Gornye nauki i tekhnologii = Mining Science and Technology (Russia). 2018;(2):60-69. https://doi.org/10.17073/2500-0632-2018-2-60-67

Views: 427

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2500-0632 (Online)