Characteristics of resistivity variation in deep granite and in-situ detection applications

Author:

Fu Zhen,Zhang Yuezheng,Ji Hongguang,Zhang Chunrui,Chen Dongsheng,Qin Yuan

Abstract

AbstractDuring the construction of deep vertical shafts, water inrush and flooding accidents are prone to occur, which seriously affect construction safety. Accurately determining the groundwater conditions is a prerequisite for effectively controlling water hazards and conducting risk management. In order to ensure the accuracy of the resistivity method in deep vertical well water exploration construction, a combination of indoor rock physics, mechanical testing, and on-site engineering measurements was used to analyze the influencing factors of granite resistivity. The corresponding relationship between resistivity and formation integrity was revealed, and water exploration experiments were conducted in the working face of deep underground mines. The results show that: (1) Rock resistivity is influenced by metallic minerals, saturation, temperature, ion content of fracture water, and joints. Regarding deep subsurface detection issues, the main factors affecting the detection results are water content and rock integrity. (2) During the loading process, rock resistivity exhibits significant stage response characteristics, which are closely related to rock integrity and damage accumulation. (3) A degradation model for aquifer zoning based on resistivity benchmark line was established. When the formation resistivity is higher than the benchmark line, it indicates a well-integrated formation with low water content. (4) Resistivity cloud maps and zoning degradation models can be used to visually determine and evaluate the occurrence status of formations and the effectiveness of grouting.

Funder

National Key Research and Development Program of China

Publisher

Springer Science and Business Media LLC

Reference31 articles.

1. Cai, M. F. et al. Development strategy for co-mining of the deep mineral and geothermal resources. Strategic Study Chin. Acad. Eng. 23(06), 43–51 (2021).

2. Hou, K. K. et al. Application of different in-situ stress test methods in the area of 2005 m shaft construction of Sanshandao gold mine and distribution law of in-situ stress. Rock Soil Mech. 43(04), 1093–1102 (2022).

3. Dong, L. J., Zhu, H. Y., Yan, F. F. & Bi, S. J. Risk field of rock instability using microseismic monitoring data in deep mining. Sensors 23(3), 1300–1315 (2023).

4. Wang, S. R., Liu, H. Y., Li, L. C. & Zhang, C. G. Editorial: Geological disasters and its prevention in deep mining. Front. Earth Sci. 10(7), 1841–1843 (2022).

5. Ji, Y., Dong, D. L., Mei, A. S. & Wei, Z. L. Study on key technology of identification of mine water inrush source by PSOLightGBM. Water Supply 22(10), 7416–7429 (2022).

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