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Next: Transformation to pseudo 3D Up: Alvarez and Biondi: 3D Previous: Common-Azimuth Migration

Source-Receiver Migration

After the data reduction afforded by the datuming and appropriate padding in offsets, we input to the source-receiver migration an even smaller dataset that had only 32 CMPs in the inline direction, 144 CMPs in the crossline direction, 120 offsets in the inline direction, 24 offsets in the crossline direction and 200 frequencies, just about 20 Gb of data. The data was migrated with 600 depth steps at 10 m (starting at the depth of the water-bottom at zero crossline CMP or about 1000 m).

Figure [*] shows the inline dimensions of one SODCIG. The data aperture was very limited and so there are some migration artifacts. Again, note that the multiples migrate to the negative subsurface offsets and are well separated from the primaries.

 
pre3dmig1
pre3dmig1
Figure 12
Inline SODCIG obtained by source-receiver migration.
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By contrast with the inline direction, the sampling of the crossline offsets and CMPs is very coarse and the results of the migration are not nearly as good as illustrated in Figure [*] which shows a cube of crossline CMPs as a function of crossline offset. Although the primaries, and the multiple, have been relatively focused toward zero subsurface offset, there is still a lot of energy smearing to both positive and negative crossline subsurface offsets.

 
pre3dmig3
pre3dmig3
Figure 13
Crossline SODCIG obtained by source-receiver migration.
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Figure [*] shows a zero subsurface-offset cube of migrated data. The image is good in the inline direction and somewhat noisy in the crossline direction. A comparison with the result of the common-azimuth migration Figure [*] shows the improvement in the crossline image.

 
pre3dmig2
pre3dmig2
Figure 14
Zero subsurface-offset cube migrated with source-receiver migration.
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next up previous print clean
Next: Transformation to pseudo 3D Up: Alvarez and Biondi: 3D Previous: Common-Azimuth Migration
Stanford Exploration Project
4/6/2006