学术文献库

Distributed acoustic sensing (DAS) is a relatively new technology for recording stress wave propagation, with promising applications in both engineering and geophysics. DAS's ability to simultaneously collect high spatial resolution data over long arrays suggests that it is especially well suited for near-surface imaging applications such as 2D MASW (multi-channel analysis of surface waves). 2D MASW aims to produce a pseudo-2D cross-section of shear-wave velocity (Vs) for the purpose of identifying and characterizing subsurface layering and anomalies. These cross-sections are produced by interpolating numerous 1D Vs profiles extracted from overlapping sub-arrays along the testing alignment. When using traditional seismic equipment, these sub-arrays are typically collected in a roll-along configuration, where the equipment is moved along the alignment at some predetermined sub-array interval. DAS does not have the same limitations, as data from all shot locations are simultaneously recorded along the entire length of the DAS array. This alleviates the requirements to pre-determine sub-array length and interval during the acquisition stage and allows for multiple geometries to be investigated during the processing stage. The present study utilizes DAS data to evaluate the effects of sub-array length on 2D MASW results at a well-characterized field test site. We organize the DAS waveforms into multiple sets of overlapping MASW sub-arrays of differing lengths, allowing for direct comparison of the derived results at the same site. We show that the length of the individual MASW sub-arrays has a significant effect on the resolution of the resulting cross-sections as well as the resolved location of large impedance contrasts at our study site and evaluate those locations compared to invasive testing.