Application of interbed multiple attenuation in the Santos Basin, Brazil

Hembd, Jeshurun; Griffiths, Malcolm; Ting, Chu-Ong; Chazalnoel, Nicolas

doi:10.1190/1.3513566

Cited by 3 publications

(3 citation statements)

References 4 publications

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“…Note, that if in this paper we refer to the IME method, we mean the data‐driven convolution process and not the ISS method. The IME methods have been proven effective on field data, as shown by e.g., Moore (2001), van Borselen (2002), El‐Emam, Moore and Shabrawi (2005) and Hembd et al (2010).…”

Section: Introductionmentioning

confidence: 99%

Estimating primaries by sparse inversion, a generalized approach

Ypma¹,

Verschuur²

2012

Geophysical Prospecting

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A B S T R A C TFor an accurate interpretation of seismic data, multiple-free data are of great value. Removing surface multiples and interbed multiples proves to be challenging in many cases. The nowadays widely used method of Surface-Related Multiple Elimination (SRME) has lately been redefined as a full-waveform inversion process, resulting in the method of Estimation of Primaries by Sparse Inversion (EPSI). The new method is shown to be more accurate than the former method in several situations, because it estimates primaries such that they, together with their multiples, explain the input data. Its main advantage is that the minimum energy assumption in traditional multiple subtraction is avoided. The SRME methodology has been extended to the case of internal multiples by several authors, however, the involved subtraction of predicted multiples is probably even more challenging than for the surface-multiple case. Therefore, in this paper the EPSI method is generalized to remove both surface and interbed multiples. As in previous implementations of internal multiple removal based on data-driven convolution, the newly proposed scheme requires some knowledge about the subsurface: the data should be divided into (macro) layers and appropriate time windows must be selected. The method is tested on two 2D synthetic datasets to prove its viability. Furthermore, application to a 2D field dataset showed improved accuracy compared to conventional prediction and subtraction.

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Section: Introductionmentioning

confidence: 99%

Estimating primaries by sparse inversion, a generalized approach

Ypma¹,

Verschuur²

2012

Geophysical Prospecting

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“…Examples of successful interbed multiple attenuation in the Santos Basin include different modeling methods (Hembd et al 2010, Cypriano et al 2015, Krugger et al 2018, Starring et al 2018), all of them applied to streamer data. Some of them are data driven, while others depend on an Earth model.…”

Section: Introductionmentioning

confidence: 99%

Interbed multiples modeling for OBN data

Guerra¹,

Hargreaves²

2021

Proceeding of the 17th International Congress of the Brazilian Geophysical

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“…The convolution-correction based method (Verschuur and Berkhout, 1997 andJakubowicz, 1998) is a sophisticated data-driven approach which can be used to attenuate all internal multiples generated by a specific horizon that causes the downward reflections. This method has been successfully used in the field survey to improve the image quality (Hemdb et al, 2010). Many iterations of modeling are required, however, when there are multiple generators.…”

Section: Introductionmentioning

confidence: 99%