Журналы →  Gornyi Zhurnal →  2022 →  №3 →  Назад

PHYSICS OF ROCKS AND PROCESSES
Название Method and equipment for the express-control of fracturing in adjacent rock mass by optical borehole logging
DOI 10.17580/gzh.2022.03.02
Автор Nikolenko P. V., Zaitsev M. G., Chepur M. D.
Информация об авторе

NUST MISIS, Moscow, Russia:

P. V. Nikolenko, Associate Professor, Candidate of Engineering Sciences, p.nikolenko@misis.ru
M. G. Zaitsev, Post-Graduate Student
M. D. Chepur, Post-Graduate Student

Реферат

Safety of mining should be based on reliable and timely information about the structure of the adjacent rock mass. Today, the main sources of such information are the acoustic and telemetering surveys in boreholes. At the same time, ultrasonic logging measurements are highly labor-intensive, and video imaging of borehole walls features complexity and subjectivity of image interpretation. In this paper, we propose a new method based on optical scanning of borehole walls using discrete photosensitive elements. The method allows identifying cracks intersecting the borehole, as well as determining their orientation angles α and β. To implement the method, an eight-channel optical logging probe and a dedicated software have been developed, which make it possible to determine the angles α and β in an automated mode immediately after scanning. Based on the representative sampling of rocks of various genotypes, it is experimentally proved that variations in the roughness and color of the scanned surface have no significant impact on the effectiveness of the proposed method. The laboratory studies show that thy use of the weighted least square method according to the Levenberg–Marquardt algorithm to approximate data from eight photosensitive elements of a logging probe can improve the determination accuracy of crack geometry and to detect fractures with an opening of 0.5 mm and wider at high reliability. Furthermore, the advantages of the method include acquisition of measurement information in the form of logging curves ready for joint processing with the results of the other logging methods, for example, ultrasonic logging.
The study was supported by the Russian Science Foundation, Project No. 21-77-00046.

Ключевые слова Cracks, control, boreholes, rock mass, optical measurements, safety, logging
Библиографический список

1. Shhokin Yu. P. Undermined water-impervious strata discontinuity in potassium mines. Gornyi Zhurnal. 2019. No. 1. pp. 70–75. DOI: 10.17580/gzh.2019.01.15
2. Asanov V. A., Evseev A. V., Pankov I. L., Toksarov V. N. Deformation processes in rock mass and stoping system elements. Gornyi Zhurnal. 2018. No. 6. pp. 13–16. DOI: 10.17580/gzh.2018.06.02
3. Trofimov A. V., Kirkin A. P., Rumyantsev A. E., Yavarov A. V. Use of numerical modelling to determine optimum overcoring parameters in rock stress-strain state analysis. Tsvetnye Metally. 2020. No. 12. pp. 22–27. DOI: 10.17580/tsm.2020.12.03
4. Kobayashi R. Studies on Crack Distribution and Sonic Velocity Change in Rocks. Journal of the Mining and Metallurgical Institute of Japan. 1974. Vol. 90, Iss. 1031. pp. 21–26.
5. Shkuratnik V. L., Bochkareva T. N. Theory of electroacoustic path during the interhole sonic testing of rocks surrounding a worked space. Journal of Mining Science. 1996. Vol. 32, Iss. 6. pp. 476–482.
6. Rasolofosaon P. N. J., Rabbel W., Siegesmund S., Vollbrecht A. Characterization of crack distribution: fabric analysis versus ultrasonic inversion. Geophysical Journal International. 2000. Vol. 141, Iss. 2. pp. 413–424.
7. Tianyang Li, Zizhen Wang, Yu Jeffrey Gu, Ruihe Wang, Yuzhong Wang. Experimental study of fracture structure effects on acoustic logging data using a synthetic borehole model. Journal of Petroleum Science and Engineering. 2019. Vol. 183. 106433. DOI: 10.1016/j.petrol.2019.106433
8. Tianyang Li, Zizhen Wang, Nian Yu, Ruihe Wang, Yuzhong Wang. Numerical study of pore structure effects on acoustic logging data in the borehole environment. Fractals. 2020. Vol. 28, No. 3. 2050049. DOI: 10.1142/S0218348X20500498
9. Liu Yang, Li Yuan, Qiao Lan, Fan Dawei. Dry coupled ultrasonic testing technology and its application in testing rock dynamic and static parameters. Journal of China Coal Society. 2019. Vol. 44, No. 5. pp. 1465–1472.
10. Yang Liu, Lan Qiao, Yuan Li, Guodong Ma, Golosov A. M. Ultrasonic Spectrum Analysis of Granite Damage Evolution Based on Dry-Coupled Ultrasonic Monitoring Technology. Advances in Civil Engineering. 2020. Vol. 2020. 8881800. DOI: 10.1155/2020/8881800
11. Kormnov A. A., Nikolenko P. V. Structural diagnostics of underground excavation roof using ultrasonic noise correlation logging. GIAB. 2016. No. 8. pp. 265–271.
12. Shkuratnik V. L., Nikolenko P. V., Kormnov A. A. Change in the correlation characteristics of acoustic noise in sonic testing of rocks under uniaxial mechanical loading. Gornyi Zhurnal. 2016. No. 6. pp. 60–63. DOI: 10.17580/gzh.2016.06.03
13. Winkler K. W., D’Angelo R. Ultrasonic borehole velocity imaging. Geophysics. 2006. Vol. 71, Iss. 3. pp. 25–30.
14. Rui Yuan, Denglin Han, Yangang Tang, Hongxing Wei, Tao Mo et al. Fracture characterization in oil-based mud boreholes using ima ge logs: exam ple form tight sandstones of Lower Cretaceous Bashijiqike Formation of KS5 well area, Kuqa Depression, Tarim Basin, China. Arabian Journal of Geosciences. 2021. Vol. 14, Iss. 6. 435. DOI: 10.1007/s12517-021-06750-y
15. Ting Lei, Smaine Zeroug, Sandip Bose, Prioul R., Donald A. Inversion of High-Resolution High-Quality Sonic Compressional and Shear Logs for Unconventional Reservoirs. Petrophysics. 2019. Vol. 60, No. 6. pp. 697–711.
16. Enikeev V. N.,Tashbulatov V. D., Gaifullin M. Ya., Guman O. M. Application of downhole acoustic methods for solving problems of solid mineral field development. Karotazhnik. 2011. No. 5(203). pp. 224–237.
17. Williams J. H., Johnson C. D. Acoustic and optical borehole-wall imaging for fractured-rock aquifer studies. Journal of Applied Geophysics. 2004. Vol. 55, Iss. 1-2. pp. 151–159.
18. Ozkaya S. I., Mattner J. Fracture connectivity f rom fracture intersections in borehole image logs. Computers & Geosciences. 2003. Vol. 29, Iss. 2. pp. 143–153.
19. Skvortsov V. Yu., Skobelev A. V. Deep tele video system Argo-tsifra with logging cable. Karotazhnik. 2012. No. 1(211). pp. 110–116.
20. Kozyrev A. A., Konstantinov K. N., Rybin V. V., Bushkov V. K. Experimental determination of the parameters of the stressed state of the adjacent rock mass nearby the open pit wall: Vostochny quarry of the Olimpiadinskoe gold deposit. Problemy nedropolzovaniya. 2018. No. 3(18). pp. 61–69.
21. Yuanming Ji. Infrared radiation with deformation of bolt and rock. Advances in Infrared Imaging and Applications : International Symposium on Photoelectronic Detection and Imaging 2009. Beijing, 2009. Vol. 7383. DOI: 10.1117/12.830941.
22. Wang Weixing, Wang Fengping, Huang Xiaojun, Song Junfang. Rock fracture image acquisition using two kinds of lighting and fusion on a wavelet transform. Bulletin of Engineering Geology and the Environment. 2016. Vol. 75, Iss. 1. pp. 311–324.
23. GOST 2789–73. Surface roughness. Parameters and characteristics. Moscow : Standartinform, 2018. 8 p.
24. Jifeng Bao, Carisa Kwok Wai Yu, Jinhua Wang, Yaohua Hu, Jen-Chih Yao. Modified inexact Levenberg–Marquardt methods for solving nonlinear least squares problems. Computational Optimization and Applications. 2019. Vol. 74, Iss. 2. pp. 547–582.

Language of full-text русский
Полный текст статьи Получить
Назад