The AC-CWAz broadband survey features extra-long offsets up to 15 kilometers and was acquired with an East-West orientation overlaying three narrow and one wide azimuth survey. One NAz survey was acquired with a N-S orientation and two were acquired with a NW-SE orientation. The underlying wide azimuth survey was acquired with a NE-SW orientation, all of which contribute to exceptionally rich azimuthal coverage.
The new and legacy data has been merged and processed together through a state-of-the-art broadband sequence using the latest 3D deghosting, full-waveform inversion (FWI), reflection-based FWI (R-FWI), time-lag FWI and tilted transverse isotropy (TTI) PSDM imaging technology.
The final dataset is now available for licensing. It covers 200 blocks and provides exceptional imaging of the complex sub-salt structures in this prospective area.
CGG is committed to offering the highest quality and most advanced multi-client data in the industry. We merge and reprocess legacy surveys, continually renewing our multi-client products using state-of-the-art subsurface imaging technology.
The TC-WAz Reprocessing Project is located in the north central part of Alaminos Canyon, adjacent to the AC-CWAz survey. Providing full fold coverage over approximately 109 OCS blocks, the underlying wide-azimuth data is being reprocessed, using advanced workflows, which employ the latest 3D deghosting algorithms and cutting-edge velocity modeling techniques, including FWI, R-FWI and Time-Lag FWI. The project expands on an area with a recent discovery and our clients will benefit from advanced subsalt imaging and enhanced definition of geological targets. Intermediate products will be available in Q3 2019 and final deliverables will be available in Q1 2020.
A long offset 2D Ocean Bottom Seismic (OBS) Study has also been acquired over the NE corner of Alaminos Canyon extending into East Breaks to evaluate the usability of nodes for ultra-long offsets. Valuable information was gained from this program, which will help design future surveys, using nodes, and further improve imaging of deeper targets.
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