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![]() | Full-waveform inversion using seislet regularization | ![]() |
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init,shot15
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.
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![]() | Full-waveform inversion using seislet regularization | ![]() |
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