Full-waveform inversion using seislet regularization |
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Figure 2. (a) Initial model and (b) one shot record for true model with . |
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We use the classic 2D Marmousi model (Bourgeois et al., 1991) to test the effectiveness of the proposed method. The model was first subsampled from cells at 4 m cell size to cells at 16 m cell size, as shown in Figure 1a. Figure 2a shows the initial model for FWI, obtained by smoothing the target model. A fixed-spread surface acquisition is used, involving 32 sources located at every 240 m. A Ricker wavelet with center frequency of 13 Hz is used to generate the synthetic data. Figure 2b shows a shot record with source location at 4 km. We perform frequency-domain FWI using the fast Helmholtz solver (Li et al., 2014). We used 8 frequencies ranging from 4 to 11 Hz and carried out 10 iterations for each frequency. We perform two tests: one with encoded data and the other one with noisy data.
Full-waveform inversion using seislet regularization |