Wave Imaging Technology Inc.

Ask anyone who's ever tried to interpret a salt body in the GoM and they'll tell you how dangerous multiples are. If you've got a hard water bottom, it's a recipe for strong surface-related multiples. Depth migration is mandatory to interpret the salt, but unfortunately, the multiples get moved around and may masquerade as signal. When the salt or seabed is complicated, or even just dipping, pegleg multiples have moveout patters that deviate from the parabolic assumption of Radon demultiple. Surface Related Multiple Elimination (SRME) is widely recognized as the best way to model these multiples.

WIT Inc. offers 2D SRME, with a 3D extension in final development. Check out the performance of the 2D algorithm on the BP velocity benchmark example to the right (»»). A strong seabed reflection and complex salt bodies make for very strong multiples which deviously overlay the base of salt--a real interpretation risk. WIT's SRME algorithm cleanly removes the multiples, leaving behind the precious signal. SRME is a fairly demanding algorithm computationally, but the automatic, fault-tolerant parallelism built into WavePak^TM reduces the computational burden significantly.

Ask anyone who's ever tried to interpret a salt body in the GoM and they'll tell you how dangerous multiples are. If you've got a hard water bottom, it's a recipe for strong surface-related multiples. Depth migration is mandatory to interpret the salt, but unfortunately, the multiples get moved around and may masquerade as signal. When the salt or seabed is complicated, or even just dipping, pegleg multiples have moveout patters that deviate from the parabolic assumption of Radon demultiple. Surface Related Multiple Elimination (SRME) is widely recognized as the best way to model these multiples. WIT Inc. offers 2D SRME, with a 3D extension in final development. Check out the performance of the 2D algorithm on the BP velocity benchmark example to the right (»»). A strong seabed reflection and complex salt bodies make for very strong multiples which deviously overlay the base of salt--a real interpretation risk. WIT's SRME algorithm cleanly removes the multiples, leaving behind the precious signal. SRME is a fairly demanding algorithm computationally, but the automatic, fault-tolerant parallelism built into WavePak^TM reduces the computational burden significantly.
Interested in reading more about WIT's SRME technology? Check out a full case study using the BP velocity benchmark.
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