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Flattening 3-D seismic cubes without picking
| Content Provider | Semantic Scholar |
|---|---|
| Author | Lomask, Jesse |
| Abstract | As a seismic interpretation aid, I present different methods to convert an entire 3D data cube into a cube of horizon slices without picking. These methods essentially sum local dip estimates into total time-shifts. Thus far, an efficient Fourier-based method that sums the dips along time slices to flatten unfaulted data has been developed and tested on a simple field dataset. Another method in the time-space (T-X) domain that flattens vertically faulted data, again by summing along slices, has been developed and tested on a simple sythetic data. This T-X domain method requires a fault model as input. A computationally efficient and practical way of globally flattening 3-D data volumes in the presense of noise, nonvertical faults, and unconformities can be developed. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://sepwww.stanford.edu/data/media/public/abstracts/seg03/jesse.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Algorithmic efficiency Cube Dosage Form Data cube Estimated Fault model Marching cubes OLAP cube Silo (dataset) Snuff Tobacco |
| Content Type | Text |
| Resource Type | Article |
