Compressed sensing based land simultaneous acquisition using encoded sweeps

TitleCompressed sensing based land simultaneous acquisition using encoded sweeps
Publication TypeConference
Year of Publication2018
AuthorsRajiv Kumar, Shashin Sharan, Nick Moldoveanu, Felix J. Herrmann
Conference NameEAGE Annual Conference Proceedings
Month06
Keywordscompressed sensing, EAGE, land, SEAM, source separation, spectral interpolation
Abstract

Simultaneous shooting methods using encoded sweeps can enhance the productivity of land acquisition in situations where deployment of many vibrators and larger receiver spread is not possible in the field due to obstructions or permit limitations. However, the existing framework requires shooting the full sequence of encoded sweeps on each shot point to reconstruct the complete frequency bandwidth Green's function. Although this simultaneous shooting method reduces the sweeping time vs conventional sequential shooting, the gain in efficiency is limited. To further reduce the sweeping time, we propose to acquire randomly selected subsets of the encoded sweeps sequences followed by a rank-minimization based joint source separation and spectral interpolation framework to reconstruct the full bandwidth deblended Green's function. We demonstrate the advantages of proposed sampling and reconstruction framework using a synthetic seismic line simulated using SEG-SEAM Phase II land velocity and density model.

Notes

(EAGE, Copenhagen)

URLhttps://www.slim.eos.ubc.ca/Publications/Public/Conferences/EAGE/2018/kumar2018EAGEcsb/kumar2018EAGEcsb.html
DOI10.3997/2214-4609.201800643
Presentation

https://www.slim.eos.ubc.ca/Publications/Public/Conferences/EAGE/2018/ku...

Citation Keykumar2018EAGEcsb