Abstract
The quality of the surrounding rock is crucial to the stability of underground caverns, thereby requiring an effective monitoring technology. Ground-penetrating radar (GPR) can reconstruct the subterranean profile by electromagnetic waves, but two significant issues, called clutter and hyperbola tails, affect the signal quality. We propose an approach to identify fractured rocks using 2D Wavelet transform (WT) and F-K migration. F-K migration can handle the hyperbola using Fourier analysis. WT can mitigate clutter, distinguish signal discontinuity, and provide signals with a good time-frequency resolution for F-K migration. In the simulation, the migration result from horizontal detail coefficients highlight the crack locations and reduce the scattering signals. Noise has been separated by 2D WT. Hyperbola tails are decomposed to vertical and diagonal detail coefficients. Similar promising results have been achieved in the field measurement. Therefore, the proposed approach can process GPR signals for identifying fractured rock areas.
Highlights
The quality of the surrounding rock is crucial to the stability of underground caverns, thereby requiring an effective monitoring technology
We propose a novel approach based on two-dimensional (2D) Wavelet transform (WT) and
By applying the proposed approach, three significant development has been achieved: (1) Noise, hyperbola tails, and target signals are separated into different WT coefficients; (2) Scattered signals surrounding cracks in F-K migration results have been eliminated; (3) Noise has been mitigated in the focused radargram
Summary
The quality of the surrounding rock is crucial to the stability of underground caverns, thereby requiring an effective monitoring technology. Ground-penetrating radar (GPR) can reconstruct the subterranean profile by electromagnetic waves, but two significant issues, called clutter and hyperbola tails, affect the signal quality. It is significant to develop effective non-destructive technology for monitoring the surrounding rock quality of underground caverns. Ground-penetrating radar (GPR) is a non-destructive detection technology to explore the unseen subsurface world, developed based on the theory of electromagnetic wave propagation in materials. It behaves like an echo listener recording the wave reflections from the underground, and this approach has been proven effective in many geological surveys (e.g., [14,15]).
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