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Characteristics of resistivity variation in deep granite and in-situ detection applications.
Fu, Zhen; Zhang, Yuezheng; Ji, Hongguang; Zhang, Chunrui; Chen, Dongsheng; Qin, Yuan.
Afiliação
  • Fu Z; Beijing Key Laboratory of Urban Underground Space Engineering , University of Science and Technology Beijing, Beijing, 100083, China.
  • Zhang Y; National Engineering Research Center of Deep Shaft Construction, Beijing, 100013, China.
  • Ji H; Beijing Key Laboratory of Urban Underground Space Engineering , University of Science and Technology Beijing, Beijing, 100083, China. yuezheng2005366@163.com.
  • Zhang C; National Engineering Research Center of Deep Shaft Construction, Beijing, 100013, China. yuezheng2005366@163.com.
  • Chen D; Beijing Key Laboratory of Urban Underground Space Engineering , University of Science and Technology Beijing, Beijing, 100083, China.
  • Qin Y; National Engineering Research Center of Deep Shaft Construction, Beijing, 100013, China.
Sci Rep ; 14(1): 6120, 2024 Mar 13.
Article em En | MEDLINE | ID: mdl-38480782
ABSTRACT
During 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.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article