Reverse-time migration (RTM) is the state-of-the-art imaging technology for complex structures. The most important plays nowadays in Brazil are in the pre-salt region. The complex overburden above them, with salt bodies, volcanics and/or shallow carbonates, produces illumination variations thus generating amplitude distortions in the migrated image. Least-squares RTM aims at approximating the inverse of the forward modeling operator, and as such it promises to reduce migration artifacts and compensate for illumination variations due to both acquisition geometry and complex overburden. We apply CHF-based LS-RTM to two field datasets in the Santos basin, acquired using narrow-azimuth streamer geometry.


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