GUO , Gaoshan

Full waveform inversion (FWI) has emerged as the baseline seismic imaging method in exploration geophysics. FWI used the entire wavefield to image the subsurface with a half-wavelength resolution. Given the size of the data and model spaces, FWI relies on iterative local optimization methods and reduced search space where the wave equation is...

Full waveform inversion (FWI) has emerged as the baseline seismic imaging method in exploration geophysics. FWI used the entire wavefield to image the subsurface with a half-wavelength resolution. Given the size of the data and model spaces, FWI relies on iterative local optimization methods and reduced search space where the wave equation is...

Extended-source full-waveform inversion (ES-FWI) first computes wavefields with data-driven source extensions such that the simulated data in inaccurate velocity models match the observed counterpart sufficiently well to prevent cycle skipping. Then, the source extensions are minimized to update the model parameters toward the true medium. This...

Full Waveform Inversion can be made immune to cycle skipping by matching the recorded data arbitrarily well from inaccurate subsurface models. To achieve this goal, the simulated wavefields can be computed in an extended search space as the solution of an overdetermined problem aiming at jointly satisfying the wave equation and fitting the data...

Frequency-domain Full Waveform Inversion (FWI) is potentially amenable to efficient processing of full-azimuth long-offset stationary-recording seabed acquisition carried out with sparse layout of ocean bottom nodes (OBNs) and broadband sources because the inversion can be performed with a few discrete frequencies. However, computing...