GSA Connects 2023 Meeting in Pittsburgh, Pennsylvania

Paper No. 88-6
Presentation Time: 9:20 AM

NEAR-SURFACE STRUCTURE CHARACTERIZATION USING SURFACE WAVES FOR THE ROCK VALLEY DIRECT COMPARISON (RV/DC) TESTBED


GAO, Kai, Los Alamos National Laboratory, Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM 87545; Los Alamos National Laboratory, Earth and Environment Sciences Division, PO Box 1663, MS F665, Los Alamos, NM 87545, CHEN, Ting, Energy and Natural Resources Security, Los Alamos National Laboratory, Los Alamos, NM 87545 and SNELSON, Catherine, Los Alamos National Laboratory, Earth and Environment Sciences Division, PO Box 1663, MS F665, Los Alamos, NM 87545

Improving the subsurface structure characterization of the Rock Valley Direct Comparison (RV/DC) Testbed is important for validating and improving the techniques of earthquake-explosion discrimination, a focus of the Source Physics Experiment (SPE) Phase III: RV/DC. A parallel study based on an active-source seismic survey using accelerated weight drop sources show that there exist complex structures caused by major and small-scale faults in this region. However, because the low signal-to-noise ratio of the active-source data and the dominance of surface waves in the shot gathers, it is challenging to perform a reliable S-wave velocity tomography using the data. In this study, we intend to specifically use enhanced surface waves to derive a high-resolution near-surface S-wave velocity model to support the subsurface characterization task. We use a super-virtual interferometry technique to denoise and extract surface waves from the gathers. The resulting enhanced surface waves extend to large offset with high signal-to-noise ratio and show evident dispersion characteristics. Then we adopt a global-correlation-based elastic full-waveform inversion (EFWI) to obtain a high-resolution near-surface S-wave velocity model. We find that our surface-wave EFWI reveals a concentrated low-velocity zone around the intersection region of the active-source seismic survey lines, indicating a possible fault zone at this location. In addition, the lateral variations of the inverted S-wave velocity are consistent with the locations of major faults in the geological framework model (GFM) built for this region. Our subsurface characterization results refine the understanding of the near-surface geology in this region and provide valuable velocity and structural information for the modeling & simulation effort for underground explosions monitoring.