Заполярный филиал ПАО «ГМК «Норильский никель», Норильск, Россия

Сергунин М. П., начальник отдела геотехнического сопровождения горных работ Центра геодинамической безопасности, SerguninMP@nornik.ru

Описана современная технология MWD, позволяющая измерять и получать данные о физико-механических свойствах горных пород посредством частотных характеристик вибросейсмического сигнала в процессе бурения шпуров в горном массиве. Обоснованы перспективы расширения возможностей данной технологии за счет анализа звукового отклика массива горных пород на ударновращательное воздействие.

1. Mahmoud A. A., Gamal H., Elkatatny S., Chen W. Real-time evaluation of the dynamic Young’s modulus for composite formations based on the drilling parameters using different machine learning algorithms. Frontiers in Earth Science. 2022. Vol. 10. ID 1034704.

2. Elkatatny S. Real-time prediction of the dynamic Young’s modulus from the drilling parameters using the artificial neural networks. Arabian Journal for Science and Engineering. 2022. Vol. 47. pp. 10933–10942.
3. Gamal H., Elkatatny S., Mahmoud A. A. Machine learning models for generating the drilled porosity log for composite formations. Arabian Journal of Geosciences. 2021. Vol. 14, Iss. 23. DOI: 10.1007/s12517-021-08807-4
4. Tian S., Hou S., Ding W., Liang S., Liu D. et al. Rock fracture identification with measurement while drilling data in down-the-hole drills. Bulletin of Engineering Geology and the Environment. 2024. Vol. 83, Iss. 2. DOI: 10.1007/s10064-024-03561-9
5. Ling X., Wang M., Yi W., Xia Q., Sun X. Predicting rock unconfined compressive strength based on tunnel face boreholes measurement-while-drilling data. KSCE Journal of Civil Engineering. 2024. Vol. 28, Iss. 12. pp. 5946–5962.
6. Zhao R., Shi S., Yao R., Yang S. Application of relationship model for the measurement while drilling data to predict rock uniaxial compressive strength for tunneling. Rock Mechanics and Rock Engineering. 2024. Vol. 57, Iss. 9. pp. 7187–7203.
7. van Eldert J., Funehag J., Schunnesson H., Saiang D. Drill monitoring for rock mass grouting: Case study at the Stockholm Bypass. Rock Mechanics and Rock Engineering. 2021. Vol. 54. pp. 501–511.
8. Van Eldert J., Schunnesson H., Saiang D., Funehag J. Improved filtering and normalizing of Measurement-While-Drilling (MWD) data in tunnel excavation. Tunnelling and Underground Space Technology. 2020. Vol. 103. ID 103467.
9. Van Eldert J., Schunnesson H., Johansson D., Saiang D. Application of Measurement While Drilling technology to predict rock mass quality and rock support for tunnelling. Rock Mechanics and Rock Engineering. 2020. Vol. 53, Iss. 3. pp. 1349–1358.
10. Fang Y, Wu Z, Jiang L, Tang H, Fu X. et al. Dynamic numerical simulation and transfer learning-based rapid rock identification during Measurement While Drilling (MWD). Processes. 2024. Vol. 12, Iss. 6. ID 1260.
11. Nagovitsin Yu. N., Novikov V. V., Kuranov A. D., Ilinov M. D. Comparison of nondestructive test and laboratory test data on properties of ore and enclosing rocks at the Oktyabrsky deposit. Gornyi Zhurnal. 2020. No. 6. pp. 42–45.
12. Trofimov A. V., Rumyantsev A. E., Gospodarikov A. P., Kirkin A. P. Non-destructive ultrasonic method of testing the strength of backfill concrete at deep Talnakh mines. Tsvetnye Metally. 2020. No. 12. pp. 28–33.
13. Isheyskiy V.A., Vasiliev A.S. Estimation of parameters correlation in the process of blasting borehole drilling. Vzryvnoe delo. 2021. No. 130-87. pp. 113–126.
14. Isheyskiy V. A., Vasilyev A. S. Processing, analysis and interpretation of blasthole drilling data—Peculiarities and problems. MIAB. 2022. No. 3. pp. 16–33.
15. Isheyskiy V. A., Martinyskin E. A., Vasilyev A. S., Smirnov S. A. Selection of data on drilling-and-blasting in creation of databases of machine learning algorithms. MIAB. 2022. No. 4. pp. 116–133.
16. Regulations for Safe Mining Operations at the Rockburst-Hazardous Talnakh and Oktyabrskoe deposits. Norilsk, 2015.
17. Rules of Safety During Mining and Processing of Solid Minerals : Federal Performance Requirements in Industrial Safety Area : Approved by Rostekhnadzor, Order No. 505 as of 8 December 2020. Available at: https://docs.cntd.ru/document/573156117 (accessed: 25.09.2024).
18. Sergunin M. P., Mushtekenov T. S., Sabyanin G. V., Kuzmin S. V. Identification of unstable rock mass areas by vibroseis survey. Gornyi Zhurnal. 2021. No. 10. pp. 16–20.