Time-Frequency Domain Multi-Scale Full Waveform Inversion Based On Adaptive Non-Stationary Phase Correction
Y. Hu, L. Han, P. Zhang and Q. Ge
Event name: 80th EAGE Conference and Exhibition 2018
Session: Poster: FWI A
Publication date: 11 June 2018
Info: Extended abstract, PDF ( 1.43Mb )
Price: € 20
In this paper, we propose to use the non-stationary phase correction objective function to mitigate the waveform mismatch problem for the time-frequency domain Full-Waveform Inversion (FWI). Furthermore , according to the difference between recorded data and synthetic data, we introduce an adaptive factor to adjust the size of the phase correction. Based on the objective function of time frequency domain FWI, we use the chain rule to derive the corresponding adjoint source. And theoretically prove the feasibility and superiority of the time-frequency domain multi-scale Adaptive Non-stationary Phase correction Full Waveform Inversion (ANPFWI). In the process of numerical testing, we combine the advantages of low-pass filtering multi-scale inversion strategy to weak non-linearity for FWI. The numerical tests without low frequency information show that multi-scale ANPTFWI method combined with the conventional FWI method can obtain high accuracy inversion results, it proves that the ANPFWI has a strong ability for building good initial velocity models and mitigating the cycle skipping problem.