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Conclusions

I introduced many refinements to my earlier least-squares joint imaging for multiples and primaries scheme Brown (2002), and denoted it LSJIMP for short. Two companion papers in this report Brown (2003a,b) derived operators which transform pegleg multiples into ``copies of their primary''. These operators enable LSJIMP to separate peglegs and primaries by exploiting the mutual consistency of events after imaging. LSJIMP produces good multiple separation results on the 2-D Mississippi Canyon multiples test dataset. Encouragingly, this approach looks well-suited - both in terms of physics and computation - to be applied to 3-D data under the industry's current acquisition constraints (poor crossline shot coverage), which inhibit the multiple prediction ability of methods like Verschuur et al. (1992), which work well in 2-D.
next up previous print clean
Next: Acknowledgement Up: Brown: LSJIMP field data Previous: Results
Stanford Exploration Project
7/8/2003