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DOE OSTI · 3012495

Advancing Tunnel Detection Via Vertical Acoustic Profiling

Abstract

This study demonstrates that placing an acoustic source at depth significantly enhances the detection of tunnels. By adapting the methodology of vertical seismic profiling to acoustic-range frequencies, we introduce a novel approach for tunnel detection. To our knowledge, this report documents the first application of this technique. The field study was conducted on a cleared site at the Oak Ridge National Laboratory; the subsurface was clay. A series of vertical shafts were bored immediately before and after the placement of a 40 ft long, 3 ft diameter steel pipe located 10 ft below the surface. Acoustic signatures were produced at various depths up to 30 ft and an array of surface geophones was used to collect the resulting signals. The innovation lies in using subsurface acoustic signatures to better enable the collection of wide-angle diffracted waves by surface geophones. These diffracted waves appear as subharmonic frequencies of the source signal and are recorded by a surface geophone array. While the concept draws from vertical seismic profiling used in oil and gas exploration, a key distinguishing feature is the use of acoustic frequencies, which are necessary for detecting small subsurface features. The findings have important implications. Critical information pertaining to diffracted source signals are not measured by current state-of-the-art methods. Although this study confirms enhanced detectability, accurate localization and imaging will require additional research. Future work should focus on leveraging diffracted-wave strength and time delays to enable full imaging and characterization.

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BibTeXRIS

Kass, Michael [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0000000190722100), Finney, Charles [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0000000322079656), Marcillo, Omar [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0000000201912357), Maceira, Monica [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0000000312482185), Splitter, Derek [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0000000174044047). 2025-12-01. Advancing Tunnel Detection Via Vertical Acoustic Profiling. https://doi.org/10.2172/3012495

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