Deghosting of marine streamer data
PSS-Geo has proprietary solutions. First adaptive approach was developed in 2013, and mostly was applied post-stack. Later that year, we had tested the approach in comparison with academical solution of research consortia we are involved. We found out, that a use of true deghosting operator applied for each reflector data in different domains (depending of acquisition geometry) allows to eliminate ghost fully. Application of averaging operators or other than best suited domains, leaves ghost in data partly.
Deghosting modules/codes we wrote using Seismic UNIX.
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•Based upon true Deghosting operators applied to the data. No wavelet or spectral manipulation.
Both source and receiver deghosting.
•Robust deghosing workflows, and the different solutions can be chosen for different survey/streamer configurations and geological settings.
•Solutions to do deghosting in both FK, Tau-P and XT- domain. For very variable streamer depth we have developed an algorithm working in local Dip-Xt domain
•Faster and more stable than the recursive time-domain implementation in F-time.
•We also have a more stable optimization scheme using “Bootstrap” methodology to optimize the Deghosting parameters. That can be used for any domain-configurations.
•In time domain a robust recursive scheme is implemented for deghosting and ghost prediction.
•Estimation of Ghost delay, and reflection coefficient in sliding windows.
•To compensate for inaccurate/unstable estimations we estimate both the deghosted data and the ”pure” ghost signal. The estimates is combined in a least square inversion scheme to estimate a optimal deghosting.
•Robust processing techniques to deal with low frequency noise and bubble energy boosted in the deghosting process.
•Our method is successfully recovering both the high and low frequencies, also in areas where other companies have difficulties dealing with the low frequencies (Barents Sea).
•Use of estimated receiver delay times for static corrections.
•The deghosting process can be done in any stage in the processing, but preferably after noise reduction. For data with small variations in receiver depths, we have successfully done deghosting also after migration/stack. The results is comparable with proper pre-stack/pre-mig deghosting.
Inversion deghosting operator
Wavelet extraction methods
Combined Inversion / wavelet extraction