Geological data interpretation at the stage of operational exploration of gold-bearing ore deposits

Increasingly more ore deposits with complex structure are being entered in commercial development at the moment. In this connection and in view of the advanced technology and equipment available for information acquisition in the recent decades, new methods are required for interpretation of geological data. The operational exploration results acquire higher importance in handling problems connected with cost-saving in mineral mining and processing towards efficient subsoil management. At some deposits, it is possible to introduce indirect methods of geological information acquisition. The differences in properties of mineral formations, determined during preparative processes before mining, allow adjustment of boundaries of ore bodies as well as assessment of their structure and composition. For instance, the dedicated hardware/software systems collect data during drilling-and-blasting and, based on the differences in physical and mechanical properties of rocks, identify the boundaries of lithological varieties. This allows adjustment of ore body boundaries. A geological environment is an extremely complex system formed under the influence of numerous factors of different nature. Thus, interpretation of the primary information is one of the top-priority tasks, and the quality of this task solution governs both accuracy and reliability of modeling, and the overall performance of a mine. Many current methods of geological data interpretation neglect the structural features and composition of rock masses. R&D results obtained by the authors allow adjustment of ore body boundaries under difficult geological conditions based on statistical processing of data obtained in the course of drilling-and-blasting. Specification of the geological model, in its turn, can be of assistance in design of more effective systems of sampling during operational exploration and, thereby, in reduction in total cost of production per unit product.

Keywords: mining, geological support of subsoil use, statistics, data processing, operational exploration, blast holes, data rating, ore body.
For citation:

Smirnov P. A., Vorotyntseva I. A., Barabanov N. N., Lagutina A. A., Lozhkin M. O. Geological data interpretation at the stage of operational exploration of goldbearing ore deposits. MIAB. Mining Inf. Anal. Bull. 2021;(7):29-41. [In Russ]. DOI: 10.25018/0236_1493_2021_7_0_29.

Acknowledgements:
Issue number: 7
Year: 2021
Page number: 29-41
ISBN: 0236-1493
UDK: 550.8.053
DOI: 10.25018/0236_1493_2021_7_0_29
Article receipt date: 27.05.2020
Date of review receipt: 02.07.2020
Date of the editorial board′s decision on the article′s publishing: 10.06.2021
About authors:

P.A. Smirnov1, Graduate Student, Technical Support Engineer, Orika CIS JSC, 125315, Moscow, Russia,
I.A. Vorotyntseva1, Graduate Student, e-mail: irina.vorot@yandex.ru,
N.N. Barabanov1, Graduate Student,
A.A. Lagutina1, Graduate Student,
M.O. Lozhkin1, Graduate Student,
1 National University of Science and Technology «MISiS», 119049, Moscow, Russia.

 

For contacts:

I.A. Vorotyntseva, e-mail: irina.vorot@yandex.ru.

Bibliography:

1. Gosudarstvennyy doklad o sostoyanii i ispol'zovanii mineral'no-syr'evykh resursov Rossiyskoy Federatsii v 2018 godu [State report on the status and use of mineral resources and mineral reserves in the Russian Federation in 2018], Moscow, Minprirody Rossii, 2019, 424 p.

2. Guseva N. S. Sekrety zolotodobychi [Secrets of gold mining], Moscow, izd-vo «Gornaya kniga», 2020, 208 p.

3. Strimzha T. P. Prognozirovanie i poisk poleznykh iskopaemykh: uchebno-metodicheskoe posobie dlya vypolneniya kursovogo proekta [Forecast and exploration of minerals: Training course project guide manual], Krasnoyarsk, SFU, 2014, 39 p.

4. Khmelevskoy V. K., Gorbachev Yu. I., Kalinin A. V., Popov M. G., Seliverstov N. I., Shevnin V. A. Geofizicheskie metody issledovaniy. Uchebnoe posobie dlya geofizicheskikh spetsial'nostey vuzov [Geophysical research], Petropavlovsk-Kamchatskiy, izd-vo KGPU, 2004, 232 p.

5. Khakulov V. V. Improvement of drilling-and-blasting pattern design for open pit mines based on self-developing models of rock mass zoning. MIAB. Mining Inf. Anal. Bull. 2010, no. 7, pp. 28—31. [In Russ].

6. Kovalenko V. A., Dolgushev V. G., Nagavitsin V. A. Computer-aided design of drillingand-blasting in open pit mines. Peredovye tekhnologii na kar'erakh KRSU. Sbornik dokladov [Experience of Introduction: Advanced Open Pit Mining Conference Proceedings, Kyrgyz–Russian Slavic University], Bishkek, 2008, pp. 84—91.

7. Cheskidov V., Kassymkanova K.-K., Lipina A., Bornman M. Modern methods of monitoring and predicting the state of slope structures. E3S Web of Conferences. 2019, vol. 105, article 01001. DOI: 10.1051/e3sconf/201910501001.

8. Babich V. V., Zaykov V. V., Lebedev V. I., Plokhikh N. A., Fedoseev G. S. Raspoznavanie obrazov v zadachakh kachestvennogo prognoza rudnykh mestorozhdeniy [Image identification in problems of high-quality forecast of ore deposits], Novosibirsk, Nauka, 1980, 208 p.

9. Falsaperla S., Hammer C., Langer H. Advantages and pitfalls of pattern recognition selected cases in geophysics. Elsevier, 2020. 330 p.

10. Grigor'ev R. V., Potekhin G. N. Computer-aided preparation of geological information in field development by a group of open pit mines. MIAB. Mining Inf. Anal. Bull. 2011, no. 10, pp. 83—96. [In Russ].

11. Potekhin G. N., Kislyakov V. E. Control of normative standards on gold ore resources. Marksheyderiya i nedropol'zovanie. 2015, no. 4, pp. 48—51. [In Russ].

12. Rupyshev M. S. Some problems in mineral reserves appraisal using ore content coefficient. Zolotodobycha. 2016, no. 209, pp. 17—22. [In Russ].

13. Dolgushev V. G. System of automatic drilling-and-blasting design in open pit mining— BastMaker. Gornyy zhurnal Kazakhstana. 2013, no. 11, pp. 28—32. [In Russ].

14. Emery X., Malekic M. Geostatistics in the presence of geological boundaries: Application to mineral resources modeling. Ore Geology Reviews. 2019, vol. 114, pp. 10—15. DOI: 10.1016/j.oregeorev.2019.103124.

15. Wang X., Wang Z., Wang D., Chai L. A novel method for measuring and analyzing the interaction between drill bit and rock. Measurement. 2018, vol. 121, pp. 344—354. DOI: 10.1016/j. measurement.2018.02.045.

16. Kutuzov B. N., Belin V. A. Proektirovanie i organizatsiya vzryvnykh rabot: Uchebnik [Blasting design and implementation, Textbook], Moscow, izd-vo «Gornaya kniga», 2019, 416 p.

17. Zharikov S. N. Vzaimosvyaz' udel'nykh energeticheskikh kharakteristik protsessov sharoshechnogo bureniya i vzryvnogo razrusheniya massiva gornykh porod [Interaction of specific energy characteristics in rotary drilling and blasting of rocks], Candidate’s thesis, Ekaterinburg, IGD UrO RAN, 2011, 25 p.

18. Abbaspour H., Drebenstedt C., Badroddin M., Maghaminik A. Optimize design of drilling and blasting operations in open pit mines under technical and economic modeling. International Journal of Mining Science and Technology. 2018, vol. 28, no. 6, pp. 839—848.

19. Moseykin V. V., Galperin A. M., Cheskidov V. V., Punevsky S. A. Enhancement of automated remote slope monitoring in mines. Gornyi Zhurnal. 2017, vol. 12, pp. 82—86. [In Russ]. DOI: 10.17580/gzh.2017.12.16.

20. Napolskikh S. A., Kryuchkov A. V., Andrievsky A. O., Cheskidov V. V. Remote stability control of hydraulic in wash structures at Stoilensky Mining and Processing Plant. Gornyi Zhurnal. 2017, vol. 10, pp. 52—55. [In Russ]. DOI: 10.17580/gzh.2017.10.11.

21. Cheskidov V. V., Lipina A. V., Manevich A. I., Kurenkov D. S. Status monitoring of sloping structures. Topical Issues of Rational Use of Natural Resources. Proceedings of the International Forum-Contest of Young Researchers 2018. CRC Press, 2019, pp. 41—47. DOI: 10.1201/9780429398063.

Подписка на рассылку

Раз в месяц Вы будете получать информацию о новом номере журнала, новых книгах издательства, а также о конференциях, форумах и других профессиональных мероприятиях.