2004
DOI: 10.1190/1.1707074
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Multiple prediction through inversion: A fully data‐driven concept for surface‐related multiple attenuation

Abstract: This paper introduces a fully data-driven concept, multiple prediction through inversion (MPI), for surfacerelated multiple attenuation (SMA). It builds the multiple model not by spatial convolution, as in a conventional SMA, but by updating the attenuated multiple wavefield in the previous iteration to generate a multiple prediction for the new iteration, as is usually the case in an iterative inverse problem. Because MPI does not use spatial convolution, it is able to minimize the edge effect that appears in… Show more

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Cited by 28 publications
(4 citation statements)
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“…As marked in Figure 8a, the most difficult part of multiple attenuation is where the refraction wave just starts appearing. Figure 8b displays the shot record after free surface multiple attenuation, using a multiple prediction through the inversion (MPI) method presented by Wang [2004Wang [ , 2007. The real shot record is generated by a point source, but Figure 8c is an equivalent line source shot gather, after partial compensation as follows.…”
Section: Free Surface Multiple Attenuationmentioning
confidence: 99%
“…As marked in Figure 8a, the most difficult part of multiple attenuation is where the refraction wave just starts appearing. Figure 8b displays the shot record after free surface multiple attenuation, using a multiple prediction through the inversion (MPI) method presented by Wang [2004Wang [ , 2007. The real shot record is generated by a point source, but Figure 8c is an equivalent line source shot gather, after partial compensation as follows.…”
Section: Free Surface Multiple Attenuationmentioning
confidence: 99%
“…Since multiples are undesirable, a large variety of methods has been developed to detect, predict and attenuate them since late 1940s based on the properties of multiples [22,23]. The first property of primaries is that multiples tend to have more moveout than primaries [24,25,26,27]. Secondly, multiples have more curvature than primaries [28,29,25,30,31].…”
mentioning
confidence: 99%
“…Hence, multiple attenuation is a critical step in data pre-processing before waveform tomography ). We use the so-called multiple prediction through inversion (MPI) method (Wang 2004(Wang , 2007 to remove strong multiple reflections, so as to reduce the nonlinearity of the inverse problem, which is defined by data fitting.…”
Section: Physical Modelling Seismic Datamentioning
confidence: 99%