Central Santos Basin Reimaging | SLB

Central Santos Basin Reimaging

High-density 3D surveys in the core of the presalt area

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Illuminate the subsurface with industry-leading technology

Most datasets of the Central Santos Basin were acquired using 3D narrow-azimuth towed-streamer seismic acquisitions. This type of data has enabled discoveries of large presalt structures but is insufficient in delineating facies variation in carbonate reservoirs as well as potential compartmentalization due to fault presence.

WesternGeco uses industry-leading technology to provide high-quality datasets that help you evaluate the prolific Central Santos Basin and overcome presalt imaging challenges. As part of a reimaging campaign in this highly prospective area, WesternGeco produced the first seamless multiazimuth volume, combining high-definition 3D surveys, full-azimuth coil surveys, and underlying narrow-azimuth (NAZ) surveys. And applying RTM imaging technology delivers an even higher-resolution image to illuminate the subsurface.

Image showing available 3D seismic data and license rounds blocks in the Central Santos Basin Image showing available 3D seismic data and license rounds blocks in the Central Santos Basin
WesternGeco offers high-density 3D seismic surveys in the core of the presalt area.
Image showing reprocessed seismic data from legacy data in the Central Santos Basin Image showing reprocessed seismic data from legacy data in the Central Santos Basin
In the presalt section, continuity of reflectors has improved from the legacy image, and fault planes are much more defined.

We provide an advanced workflow that integrates all available data for robust demultiple and earth model building, enabling you to better understand the complex carbonate reservoir.

Dataset highlights

  • Multiazimuth imaging from navigation-merged raw gathers for improved model update and target illumination
  • Broadband via full 3D deghosting for better presalt faulting definition
  • Variable aperture, multiazimuth general surface multiple prediction (GSMP) model
  • Reflection full-waveform inversion for robust velocity in the salt and presalt model and more detailed target image
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