Decoupled De-ghosting for Ultra-High Resolution Seismic Data

SUMMARY

Ultra-high resolution (UHR) seismic data has emerged as a powerful tool for enhancing quantitative ground model building, particularly in applications such as offshore wind farm planning. However, effective utilization of UHR data hinges on overcoming unique preprocessing challenges, particularly receiver de-ghosting, which is complicated by dynamic sea-surface fluctuations and receiver depth uncertainties.

This paper presents a novel, data-driven algorithm that decouples receiver depth and seasurface height fluctuations into independent components using adaptive regularization techniques.

The approach not only reduces artifacts such as ringing but also generates smooth, optimized receiver depth profiles for redatuming. Through both synthetic and field data from the German North Sea, the method demonstrates significant improvements in de-ghosting accuracy and preprocessing quality, making it a robust solution for UHR seismic applications and traditional seismic data scenarios.