SEG Technical Program Expanded Abstracts 2014 2014
DOI: 10.1190/segam2014-1561.1
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SI attenuation as part of simultaneous source acquisition: GOM field data exercise

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“…Often similar algorithms can be applied to both data deblending and SI noise attenuation. Deblending usually resorts to iterative methods, which minimize a cost function and gradually separate signal and noise step-bystep (Baardman et al, 2014;Peng et al, 2014). However, SI noise is often not as strong as blended signals because the seismic sources that generate SI noise are usually not as close as the blended sources.…”
Section: Introductionmentioning
confidence: 99%
“…Often similar algorithms can be applied to both data deblending and SI noise attenuation. Deblending usually resorts to iterative methods, which minimize a cost function and gradually separate signal and noise step-bystep (Baardman et al, 2014;Peng et al, 2014). However, SI noise is often not as strong as blended signals because the seismic sources that generate SI noise are usually not as close as the blended sources.…”
Section: Introductionmentioning
confidence: 99%