Multiparameter viscoelastic full-waveform inversion of shallow-seismic surface waves with a pre-conditioned truncated Newton method

SUMMARY 2-D full-waveform inversion (FWI) of shallow-seismic Rayleigh waves has become a powerful method for reconstructing viscoelastic multiparameter models shallow subsurface with high resolution. The reconstruction in FWI is challenging due to the potential presence cross-talk between different parameters and unbalanced sensitivity Rayleigh-wave data respect parameter classes. Accounting inverse Hessian using truncated Newton methods based on second-order adjoint provides an effective tool mitigate caused by coupling parameters. In this study, we apply pre-conditioned (PTN) simultaneously invert near-surface (P- S-wave velocities, attenuation P S waves, density). We first investigate scattered wavefields these evaluate them. Then performance PTN wave all five simultaneously. application spatially correlated uncorrelated demonstrates that helps improves resolution reconstructions, especially weak small such as density Pwaves cannot be inverted reliably its negligible wave. comparison classical conjugate gradient highlights improved thus benefit accounting information included Hessian.