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Model-based Deblending Workflow and its Application to Multiple Source Acquisition Data
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 79th EAGE Conference and Exhibition 2017, Jun 2017, Volume 2017, p.1 - 5
Abstract
Towed streamer acquisition employing more than two sources has been attracting increased interest due to the prospect of denser sampling, particularly in the crossline direction, at a similar or cheaper cost compared to a conventional acquisition configuration. Due to a reduced temporal shot spacing, final data quality depends heavily on processing to separate the energy from different sources; this step is often referred to as deblending. In this paper, we discuss the deblending result of a penta-source marine towed streamer dataset which gives rise to a natural acquisition grid of 6.25 m × 6.25 m. In this dataset the shooting rate is about 4 sec with average random dithering of ±70 ms. The small dithering time renders the cross-talk noise semi-coherent in all domains, making this dataset challenging for existing deblending techniques. To tackle this problem, we propose a new model-based deblending scheme which supplements a previously proposed deblending scheme (Wang et al., 2016). After deblending, broadband processing including deghosting, SRME and Kirchhoff time migration, was applied to validate the effectiveness of the proposed deblending scheme.