RTM using effective boundary saving: A staggered grid GPU implementation |

The last example is Sigsbee model shown in Figure 9. The spatial interval is . 55 shots are evenly distributed on the surface of the model. We still perform time steps for each shot (301 receivers). Due to the larger model size, 75% boundaries have to be stored with the aid of pinned memory. Our RTM result is shown in Figure 10. Again, the resulting image obtained by normalized cross-correlation imaging condition exhibits better resolution for the edges of the salt body and the diffraction points. Some events in the image using normalized cross-correlation imaging condition are more visible, while they have a much lower amplitude or are even completely lost in the image of cross-correlation imaging condition.

sigsbee
The Sigsbee velocity model.
Figure 9. |
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simag1,simag2
RTM result of Sigsbee model using effective boundary saving scheme (staggered grid finite difference). (a) Result of cross-correlation imaging condition. (b) Result of normalized cross-correlation imaging condition.
Figure 10. |
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RTM using effective boundary saving: A staggered grid GPU implementation |

2021-08-31