SharpSeis Deghosting/Broadband Processing
In typical marine seismic acquisition, a streamer towed on a given depth records not only an upgoing wavefield reflected from the subsurface, but also a downgoing field reflected from the sea surface and known as ghost wavefield. Destructive interference of the upgoing and the ghost wavefields creates a set of notch frequencies in the recorded spectrum, which results in limiting frequency band and decreasing resolution.
RadExPro offers SharpSeis Deghosting/Broadband Processing solution—a stable deghosting algorithm, which can be used for removing both source and receiver side ghosts.
Algorithm specifications:
- Applicable for conventional marine seismic acquisitions—does not require specific acquisition solutions
- Efficient for different types of sources (airgun, sparker, boomer…)
- Applicable for both 2D and 3D data
- The algorithm is adaptive—can handle changing ghost time delays both in time and distance
The algorithm was presented at EAGE Near Surface Geoscience 2014—First Applied Shallow Marine Geophysics Conference by Vakulenko et al (2014).
SharpSeis Deghosting helps one to recover a broader frequency spectrum, resulting in improved seismic resolution and image clarity.
Examples of SharpSeis Deghosting Application
Norvegian Sea, marine seismic data, acquired with a P–Cable system with an airgun source and 12 8–channel streamers towed at around 2.5 m.
The data is courtesy of P–Cable 3D AS company.
University of Trømso P–Cable acquisition, data acquired with an airgun source and deep–towed streamers.
The streamers were towed at around 12 m to facilitate deghosting and reduce the noises.
Raw data / Data, after SharpSeis deghosting application
Deghosting of 2D conventional marine seismic data, acquired in the bay of Naples.
Raw data / Data, after SharpSeis deghosting application
Data courtesy Istituto per l’Ambiente Marino Costiero—CNR, Naples, Italy
Reference:
Vakulenko, S.V. Buryak, P.A. Gofman and D.B. Finikov (2014), “Deghosting of High Resolution Marine Seismic Data by Adaptive Filtering Algorithm”, S.A., EAGE Near Surface Geoscience 2014—First Applied Shallow Marine Geophysics Conference