The use of RTM with image partitioned output is commonly used in the Gulf of Mexico, where complex salt bodies pose a challenge to imaging. RTM image partitions of wide azimuth seismic datasets have been analyzed individually, e.g. to discriminate between primary signal and noise/multiples or used to form enhanced composite images of the subsurface. The same techniques can also be applied to narrow azimuth seismic datasets and bring benefit to non-salt imaging challenges such as heavily faulted regions with fault shadows. Subsurface features that are preferentially illuminated by a particular offset and azimuth can be enhanced by isolating the relevant reflected energy and eliminating additional conflicting dip that only serves to reduce the signal to noise ratio of the target event. In this case study judicial selection of image partitioned RTM output stacks, that illuminate different elements of the subsurface, enabled the interpreter to determine the extent and direction of faulting with greater confidence.


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