Synthetic example of modeling and migration

A simple input model and the result of migrating the synthetic data generated from it without anti-aliasing is displayed in Figure 2. The artifacts due to operator aliasing are the smiles on the point diffractors and the prominent precursor above the flat event.

 

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Figure 2 The plot on the left is the model input. The synthetic image on the right is made by first modeling the data with simulated field arrays and then migrating the resulting synthetic without anti-aliasing (anti==0).

Figure 3 is a comparison of modeling and migration using causintnew() and causintold(). The operator aliasing artifacts are eliminated in both cases, but the result obtained with causintnew() (upper two panels) has much less resolution than the result obtained with causintold() (lower two panels). The image obtained with causintold() (lower right side of Figure 3) is a better representation of the model (Figure 2) than the image obtained with causintnew().

 

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Figure 3 Comparison of modeling and migration results using the two different versions of the integration program. Modeling conj==0 is on the left and migration conj==1 is on the right. The top panels were made using the integration program with 1/2 on the diagonal, and the bottom panels were made with 1 on the diagonal.