This study explores the application of Distributed Acoustic Sensing (DAS) technology for passive seismic monitoring of near-borehole environment at the Verkhnekamskoye potassium salt deposit. By utilizing fiber-optic cables, DAS systems allow obtaining continuous high-resolution data, offering an alternative to traditional geophones. The research focuses on analyzing the energy distribution of ambient noise along boreholes to infer geological features such as fractures and lithological variations. Results indicate that ambient noise energy curves correlate with rock mass acoustic impedance, with higher noise energy levels typically found in fractured and cavernous rocks acting as waveguides, and lower levels in homogeneous rocks like clay. Additionally, a comprehensive analysis of the directional characteristics of optical cables is carried out. Data recorded in four wells utilizing both straight and spiral-wound fibers to ensure uniform sensitivity to seismic waves. The obtained data is analyzed and the energy curves of ambient noise for various frequency ranges are derived. The results of the analysis show the potential of DAS technology to detect and characterize subsurface geological features. The results confirm the feasibility of using DAS technology as a robust tool for seismic monitoring in challenging environments. Its ability to provide continuous, high-density data without the need for active seismic sources presents significant advantages compared to conventional geophones. Future advancements in DAS technology could enhance its applications in geophysical surveys.

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Spectral Analysis of Passive DAS Data for Monitoring of an Undermined Massif at a Salt Deposit

  • Aleksandr V. Chugaev,
  • Artemii D. Tezikov,
  • Anna B. Trapeznikova

摘要

This study explores the application of Distributed Acoustic Sensing (DAS) technology for passive seismic monitoring of near-borehole environment at the Verkhnekamskoye potassium salt deposit. By utilizing fiber-optic cables, DAS systems allow obtaining continuous high-resolution data, offering an alternative to traditional geophones. The research focuses on analyzing the energy distribution of ambient noise along boreholes to infer geological features such as fractures and lithological variations. Results indicate that ambient noise energy curves correlate with rock mass acoustic impedance, with higher noise energy levels typically found in fractured and cavernous rocks acting as waveguides, and lower levels in homogeneous rocks like clay. Additionally, a comprehensive analysis of the directional characteristics of optical cables is carried out. Data recorded in four wells utilizing both straight and spiral-wound fibers to ensure uniform sensitivity to seismic waves. The obtained data is analyzed and the energy curves of ambient noise for various frequency ranges are derived. The results of the analysis show the potential of DAS technology to detect and characterize subsurface geological features. The results confirm the feasibility of using DAS technology as a robust tool for seismic monitoring in challenging environments. Its ability to provide continuous, high-density data without the need for active seismic sources presents significant advantages compared to conventional geophones. Future advancements in DAS technology could enhance its applications in geophysical surveys.