2013
DOI: 10.22564/rbgf.v31i1.252
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Determination of an Optimal Processing Flow for the Suppression of Free-Surface Multiples in Real 2d Marine Data

Abstract: ABSTRACT. The presence of multiple reflections is common in marine surveys due to the air-water interface. Multiples have significant energy and can mask deep reflectors, leading to the misinterpretation of seismic cross-sections. In this study, surface-related multiple elimination (SRME), predictive deconvolution in the τ − p domain and Radon and f − k filtering are used to eliminate surface multiples in real 2D marine data. These methods are applied in different combinations, and the results are analyzed wit… Show more

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Cited by 1 publication
(3 citation statements)
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References 17 publications
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“…That is very problematic as weak reflections which are masked by the multiple as it is often the case in shallow water archaeological prospection are also eliminated from data and signal of interest is lost. In e.g., [41,46] non of the applied methods or combination of methods including Predictive Deconvolution and SRME produced satisfactory results for the shallow water area investigated in these studies.…”
Section: Limitations Of the Traditional Methodsmentioning
confidence: 80%
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“…That is very problematic as weak reflections which are masked by the multiple as it is often the case in shallow water archaeological prospection are also eliminated from data and signal of interest is lost. In e.g., [41,46] non of the applied methods or combination of methods including Predictive Deconvolution and SRME produced satisfactory results for the shallow water area investigated in these studies.…”
Section: Limitations Of the Traditional Methodsmentioning
confidence: 80%
“…Predictive Deconvolution is the oldest way of suppressing multiples, as these are events that have a strong periodic character [11]. It makes use of the assumption, that multiple reflections appear in a repetitive pattern, while primary reflections do not; therefore, the two can be separated based on statistics [40,41]. In order for this method to work properly, primaries are needed.…”
Section: Traditional Methods Applied For Comparison 231 Basic Methods 1: Predictive Deconvolutionmentioning
confidence: 99%
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