Interpretation of the results of georadar sounding of a rock mass using a digital image

DOI: https://doi.org/10.30686/1609-9192-2023-5S-119-124

Читать на русскоя языкеA.I. Kalashnik, A.Y. Dyakov
Mining Institute Kola Science Centre of the Russian Academy of Sciences, Apatity, Russian Federation
Russian Mining Industry №5S / 2023 р. 119-124

Abstract: A methodological approach to interpreting the results of georadar sounding of a rock mass using a digital image is considered. The studies carried out have established that during the georadar probing of the rock masses, distortion of the induced electromagnetic field is observed in areas with different physical properties of the rocks (such as the rock mass heterogeneity, rock fracturing, zones of increased water saturation). The creation of a digital image of the electromagnetic field caused by ground penetrating radar sounding using computer modeling made it possible to significantly reduce the uncertainty in interpretation of the obtained field data through understanding the mechanism of formation of the wave characteristics and comparing synthetic data with the in-situ data. Regularities in formation of the wave patterns of the ground penetrating radar model data (changes in the in-phase axes and amplitude characteristics of the signal) of a rock mass containing structural heterogeneities have been identified. When sounding such a rock mass with the georadar, reflections from the edges of heterogeneities appear in the wave patterns in the form of hyperbola branches. The intensity of the wave field distortion is determined by the contrast of the physical properties of rocks, as well as by the spatial orientation and depth of the heterogeneity, which is a key parameter of georadar sensing. It has been established that the variability of the physical properties of rock masses near disturbances introduces significant distortions into the parameters determined by georadar sounding, including the angle of incidence of disturbances. The considered methodological approach provides the basis for creating a digital image of georadar probing of a rock mass.

Keywords: georadar sounding, rocks, wave field, computer modeling, digital image

For citation: Kalashnik A.I., Dyakov A.Y. Interpretation of the results of georadar sounding of a rock mass using a digital image. Russian Mining Industry. 2023;(5S):119–124. https://doi.org/10.30686/1609-9192-2023-5S-119-124


Article info

Received: 22.11.2023

Revised: 09.11.2023

Accepted: 23.11.2023


Information about the authors

Anatolii I. Kalashnik – Cand. Sci. (Eng.), Head of laboratory, Mining Institute Kola Science Centre of the Russian Academy of Sciences, Apatity, Russian Federation; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Andrey Y. Dyakov – Scientific Researcher, Mining Institute Kola Science Centre of the Russian Academy of Sciences, Apatity, Russian Federation; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.


References

1. Dyakov A.Yu., Kalashnik A.I. Methodical bases of GPR studies of mining facilities. Apatity: Kola Science Centre of the Russian Academy of Sciences; 2021. 110 p. (In Russ). https://doi.org/10.37614/978.5.91137.443.3

2. Zhukov A.A., Prigara A.M., Tsarev R.I., Voroshilov V.A. Solution of mining engineering problems at a potassium salt deposit using geophysical methods. Mining Informational and Analytical Bulletin. 2022;(5-1):82–91. (In Russ.) https://doi.org/10.25018/0236_1493_2022_51_0_82

3. Kalashnik A.I., Zaporozhets D.V., Dyakov A.Yu., Kazachkov S.V., Sokharev V.A. GPR-study of open-pit benches related to rock structure and condition, Zhelezny open pit mine, Kovdorsky mining-and-processing integrated works. Gornyi Zhurnal. 2014;(4):60–64. (In Russ.) Available at: https://rudmet.ru/journal/1298/article/22125/

4. Mel'nikov N.N., Kalashnik A.I., Kalashnik N.A., Zaporozhets D.V. Multi-level geomonitoring of natural-and-technical objects in the mining industry. Journal of Mining Science. 2018;54(4):535–540. https://doi.org/10.1134/S1062739118043977

5. Kharisov T.F., Mel’nik V.V., Kharisova O.D., Zamjatin A.L. Geophysical research of the rock massif in underground mine conditions. Mining Informational and Analytical Bulletin. 2020;(3-1):255–263. (In Russ.) https://doi.org/10.25018/0236-1493-2020-31-0-255-263

6. Nabatov V.V., Utkina A.V. Behavior of the quality factor and its constituents in radar detection of voids at the rock-lining interface. Mining Informational and Analytical Bulletin. 2022;(6):142–155. (In Russ.) https://doi.org/10.25018/0236_1493_2022_6_0_142

7. Musalev D.N., Prokhorov N.N., Klabuk A.M. Experience of GPR application in scientific and engineering supervision of potash mining at the Starobinsk deposit. Gornyi Zhurnal. 2018;(8):42–47. (In Russ.) https://doi.org/10.17580/gzh.2018.08.05

8. Bashkuev Yu.B., Khaptanov V.B., Dembelov M.G. Integration of the GPR and radio-impedance techniques in studies of the Baikal rift zone. Geodynamics & Tectonophysics. 2019;10(3):603–620. (In Russ.) https://doi.org/10.5800/GT-2019-10-3-0429

9. Aleksandrov P.N., Morozov Y.A., Kulakovskij A.L., Matveev M.A., Smulskaya A.I., Sokolova Y.F. Studying of the metamorphic stratum subsurface structure by the georadar method (the Northern Ladoga region). Geophysical Research. 2020;21(1):5–23. (In Russ.) https://doi.org/10.21455/gr2020.1-1

10. Bricheva S.S., Dubrovin I.O., Lunina O.V., Denisenko I.A., Matasov V.V., Turova I.V., Entin A.L., Panin A.V., Deev E.V. Numerical simulation of ground-penetrating radar data for studying the geometry of fault zone. Near Surface Geophysics. 2021;19(2):261–277. https://doi.org/10.1002/nsg.12153

11. Ercoli M., Cirillo D., Pauselli C., Jol H.M., Brozzetti F. Ground-penetrating radar signature of Quaternary faulting: a study from the Mt. Pollino region, southern Apennines, Italy. Solid Earth. 2021;12(11):2573–2596. https://doi.org/10.5194/se-12-2573-2021

12. Bano M., Tsend-Ayush N., Schlupp A., Munkhuu U. Ground-Penetrating Radar Imaging of Near-Surface Deformation along the Songino Active Fault in the Vicinity of Ulaanbaatar, Mongolia. Applied Sciences. 2021;11(17):8242. https://doi.org/10.3390/app11178242

13. Chamyal L.S., Parul Joshi, Swarali Vasaikar, Maurya D.M. Neotectonic characterization of the Narmada-Son Fault (NSF) using field and GPR data, Gujarat, western India. Journal of the Palaeontological Society of India. 2022;67(1):72–84.

14. Kobayashi T., Sun C., Choi J.-H. Near-surface fault investigation by Ground Penetrating Radar (GPR) surveys. Journal of the Geological Society of Korea. 2022;58(4):445–455. https://doi.org/10.14770/jgsk.2022.58.4.445

15. Kobayashi T., Ko K., Choi S.-J., Choi J.-H. Orthogonal dual polarization GPR measurement for detection of buried vertical fault. IEEE Geoscience and Remote Sensing Letters. 2022;19:4022805. https://doi.org/10.1109/LGRS.2022.3156295

16. Bali B.S., Wani A.A. Analysis of neotectonic structures in the piedmont region of Pir Panjal Range NW Himalaya by integrating geomorphic indicators coupled with geophysical transects (GPR). Natural Hazards. 2021;105(2):2869–2882. https://doi.org/10.1007/s11069-020-04428-4

17. Benter A, Moore W., Antolovich M. GPR signal attenuation through fragmented rock. Mining Technology. 2016;125(2):114–120. https://doi.org/10.1080/14749009.2015.1110950