Full microtremor H/V(z, f) inversion for shallow subsurface characterization

Ground Penetrating Radar: A Useful Tool for Shallow Subsurface Stratigraphy Characterization

Full Waveform Inversion and the truncated Newton method: quantitative imaging of complex subsurface structures

SUMMARY Full Waveform Inversion (FWI) is a powerful tool for quantitative seismic imaging from wide-azimuth seismic data. The method is based on the minimization of the misfit between observed and simulated data. This amounts to the resolution of a large-scale nonlinear minimization problem. The inverse Hessian operator plays a crucial role in this reconstruction process. Accounting accurately ...

Geoacoustic Inversion in Shallow Water

The ability to predict the sound field in shallow water envirnments depends to a large degree on having adequate knowledge of the geoacoustic properties of the bottom. The long term objectives of this research project are related to the investigation of experimental methods and inversion techniques for estimating parameters of geoacoustic models of the ocean bottom and the associated uncertaint...

Surface-to-subsurface velocity projection for shallow water currents

Sea surface currents in coastal oceans are accessible to continuous direct observations by shore-based high-frequency Doppler radar systems. Inferring current structure in shallow water from such surface current observations is attempted. The approach assumes frictionally dominated flow and vertically varying current velocity on the scale of the Ekman boundary layer. The approximation of the ve...

Inexact Full Newton Method for Full Waveform Inversion

In this paper, we present an inexact full Newton optimization method for the full waveform inversion algorithm in the frequency domain which utilizes simultaneous sources based upon the phase encoding technique. Tests show that the full Newton minimization method achieves a high convergence rate and a reasonably accurate reconstruction of the model parameters. Taking advantage of a direct solve...