3D prediction of surface-related and interbed multiples

Reshef, Moshe; Arad, Shahar; Landa, Evgeny

doi:10.1190/1.2159062

Cited by 11 publications

(2 citation statements)

References 16 publications

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“…The common-focus-point (CFP) method (Berkhout and Verschuur, 2005), requires some manual interpretation of the data. Reshef et al (2006) offers a method for estimating the kinematics of internal multiples that does not need prestack data, but is limited to hyperbolic moveouts. Ikelle (2006) also proposed a data-driven method for internal multiple attenuation, but which needs the user to select time windows containing primaries.…”

Section: Introductionmentioning

confidence: 99%

Elastic P- and S-wave autofocus imaging with primaries and internal multiples

2015

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Conventional seismic imaging methods rely on the single-scattering Born approximation, requiring the removal of multiply scattered events from reflection data prior to imaging. Additionally, many methods use an acoustic approximation, representing the solid Earth as an acoustic (fluid) medium. We propose imaging methods for (solid) elastic media that use primaries and internal multiples, including their P S and SP conversions, thus obviating the need for internal multiple removal and improving handling of internal conversions. The methods rely on the elastic autofocusing method which creates multi-component elastodynamic Green's functions from virtual sources interior to the medium to receivers placed on the surface. They require only surface seismic reflection data and estimates of the direct waves from virtual sources interior to the medium, both of which are commonly available at the imaging step of seismic processing. We demonstrate our methods on a synthetic model with constant P and S velocities and vertical and horizontal density variations, by producing for the first time P P and SS images from elastic autofocusing which are compared to 1 reference seismic images based on conventional methods. Effects of multiples are greatly attenuated in the images, with fewer spurious reflectors than are observed when using Born imaging.2

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Section: Introductionmentioning

confidence: 99%

Elastic P- and S-wave autofocus imaging with primaries and internal multiples

2015

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“…Since applying the concept of SRME to predict IMs is not a new idea, efforts have been spent in extending IMA to 3D application. Methods based on kinematic calculation using post-stack data (Reshef et al, 2006), model-driven wavefield extrapolation (Pica and Delmas, 2008), Jakubowicz's (1998) approach (Griffiths et al, 2011), …etc., have been proposed. Nevertheless, most of these methods require a priori information about the subsurface.…”

Section: Introductionmentioning

confidence: 99%