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Numerical Results


The multisource least-squares migration algorithm wth Kirchhoff modeling and adjoint operators is tested on synthetic data generated by a Born modeling method for the 2D SEG/EAGE salt model. Figure [*] shows the reflectivity model calculated from the velocity model using vertical rays and constant density assumptions; the true velocity model is used for migration. The ocean bottom reflector is muted in order to better illustrate the deep structure, and 320 sources and 320 receivers are deployed on the surface with the same sampling interval of 18.3 m. The modeling parameters are listed in Table 1 (see Appendix A for the meaning of deblurring filter parameters), where the deblurring filter is only applied at the first two iterations[*] to provide a good initial model for the inversion. The regularization parameter is chosen based on a trial and error method and is reduced by half after each iteration. Regularization is important for attenuating crosstalk noise and high-frequency noise associated with the deblurring filter.


Table 2.1: Modeling parameters for conventional sources simulation.
Model size 645$ \times$ 150 Src Wavelet Ricker
Grid interval 9.14 m Peak freq. 50 Hz
Src number 320 Src interval 18.3 m
Rec. number 320 Rec. interval 18.3 m
Trace length 4 sec Regularization 1.0e-7
Subsec. size 5$ \times$ 5 pts Filter size 3$ \times$ 3 pts

Figure 2.2: 2D SEG/EAGE salt model (reflectivity).
\includegraphics[width=4.0in]{./chap2.lsm.img/Figure2.eps}



Subsections
next up previous contents
Next: Conventional Sources Least-squares Migration Up: Least-squares Migration of Multisource Previous: Signal-to-noise Ratio Analysis   Contents
Wei Dai 2013-07-10