Full text loading...
One of the limitations in seismic waveform inversion is noise, which plays a role in impeding that the FWI converges on the global minimum solution. We first analyse noise behaviours in the inverse problem and limitations of the conventional FWI strategy for noisy data. For a more robust inversion algorithm, we propose applying a frequency-depth scaling strategy. The frequency-depth scaling strategy is designed using the denoise function for both the spectral scaling and the flexible damping factor of the Levenberg-Marquardt method for the depth scaling so that the influence of strategy that combines the spectral scaling strategy using the denoise function suggested by Oh and Min (2012) and the depth scaling strategy using the constraint of the Levenberg- Marquardt method (Lines and Treitel, 1984).
Article metrics loading...
Full text loading...
References