Deep-water seismic exploration is plagued with numerous imaging problems. One such problem is data contamination by internal multiples; its prediction and attenuation have been challenging. These multiples can be so strong that they can pose a significant impediment to our understanding of the reservoir system by masking the primary reflections. While predicting internal multiple can be done with a fair amount of success, attenuating the predicted multiple has been a major challenge. Herein, we present a case study that implemented an internal multiple prediction for three multiple-generating horizons, followed by Kirchhoff depth migration to apply a cascaded image-domain subtraction workflow. This strategy is effective to better subtract the multiples, decreasing the risk associated with reservoir mapping by using the migrated models for interpretation support. The study shows a practical case of modeling and attenuating internal multiples.
Presentation Date: Monday, October 12, 2020
Session Start Time: 1:50 PM
Presentation Time: 3:30 PM
Location: Poster Station 13
Presentation Type: Poster
