A new method for more efficient seismic image segmentation |

(4) |

where can be time or depth. The exponential term in this expression represents the phase information for the seismic data, while the leading term represents the amplitude information. By transforming the data such that the amplitude information is the only information present, the problem described above may be avoided. Figures 4(a) and 4(b) show the result of this process, also known as taking the ``amplitude of the envelope'' of the data, for the synthetic and field seismic images, respectively. We see that in both instances the phase information is no longer present, and the boundaries delineating the salt bodies are more clearly visible. By using these transformed images as inputs to the segmentation algorithm, it is likely that much of the unwanted behavior seen in the original examples can be avoided.

zig-origseg,uno-origseg3
Segmentation of the example seismic images from Figure 1, using the original algorithm from Felzenszwalb and Huttenlocher (2004).
Figure 3. |
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zig-env,uno-env
Result of calculating the amplitude envelope of the example images seen in Figure 1. These become the input to the new segmentation algorithm.
Figure 4. |
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A new method for more efficient seismic image segmentation |

2010-05-19