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Advancements in 3D Reconstructive Techniques for Imaging Subsurface Velocities

Explore the latest methodological improvements for 3D reconstructions, including noise correlation techniques, dispersion curve estimation, and comparisons between SPAC/FK methods. Learn about the performance and limits of these techniques and their applications for subsurface shear-wave velocity imaging.

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Advancements in 3D Reconstructive Techniques for Imaging Subsurface Velocities

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  1. WP-1-1: Methodological improvements for 3D reconstructions Contributors: Pierre Gouédard, Philippe Roux, Seiji Tsuno, Marc Wathelet

  2. What has been done/initiated ? • ESG2006 noise blind test • Estimation of dispersion curves is OK • Interpretation of mode branches and inversion of Vs profiles are critical issues • Comparison between SPAC/FK et noise correlation techniques • => performance and limits of these “competing” approaches • => what kind of “correlation technique and array layout” to use • for imaging subsurface shear-wave velocity • MASW measurements for getting information on the shallow layers (Vs, Qs) • high frequency technique (10-80 Hz) • complementary to noise array technique

  3. Comparison between SPAC/FK and noise correlation

  4. resolution limit D ~ max aliasing limit 2d ~ min

  5. reliable resolution limit D ~ max Mapping resolution and aliasing limits into f-c domain aliasing limit 2d ~ min

  6. Isotropic noise directional noise

  7. HRFK CORR

  8. Comparison SPAC/FK and noise correlation • Similar performance at low frequency (controlled by array aperture) • Better performance of noise correlation at high frequency (although a • similar array layout, effective spatial aliasing is different) • Noise correlation allows estimating both Rayleigh and Love waves • dispersion curves (also for SPAC3C but not so straightforwardly for FK • techniques) • Future studies on performance of correlation techniques • application of correlation to 2D structures (array aperture  frequency • range  2D site)

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