First field data examples of inverse scattering series direct depth imaging without the velocity model

Weglein, Arthur B.; Liu, Fang; Li, Xu; Terenghi, Paolo; Kragh, Ed; Mayhan, James D.; Wang, Zhiqiang; Mispel, J.; Amundsen, Lasse; Liang, Hong; Tang, Liyan; Hsu, Shih-Ying

doi:10.1190/segam2012-0850.1

Cited by 6 publications

(4 citation statements)

References 8 publications

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“…Wapenaar et al (2013a) derived a new Newton-Marchenko scheme in 3D to image reflectors without creating ghosts images from internal multiples. In that sense, such schemes are distinctly different from known methods that aim to remove internal multiples using the inverse scattering series (Zhang and Weglein, 2009;Weglein et al, 2012) or to predict and subtract internal multiples (Jakubowicz, 1998;ten Kroode, 2002) from the reflection data at the surface. Imaging schemes that use Marchenko-type equations focus the wavefield inside a heterogeneous medium, use the internal multiples to construct correct image amplitudes, and do not create ghost reflectors because the internal multiples are handled correctly.…”

Section: Introductionmentioning

confidence: 99%

Seismic reflector imaging using internal multiples with Marchenko-type equations

et al. 2014

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We present an imaging method that creates a map of reflection coefficients in correct one-way time with no contamination from internal multiples using purely a filtering approach. The filter is computed from the measured reflection response and does not require a background model. We demonstrate that the filter is a focusing wavefield that focuses inside a layered medium and removes all internal multiples between the surface and the focus depth. The reflection response and the focusing wavefield can then be used for retrieving virtual vertical seismic profile data, thereby redatuming the source to the focus depth. Deconvolving the upgoing by the downgoing vertical seismic profile data redatums the receiver to the focus depth and gives the desired image. We then show that, for oblique angles of incidence in horizontally layered media, the image of the same quality as for 1D waves can be constructed. This step can be followed by a linear operation to determine velocity and density as a function of depth. Numerical simulations show the method can handle finite frequency bandwidth data and the effect of tunneling through thin layers.

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Section: Introductionmentioning

confidence: 99%

Seismic reflector imaging using internal multiples with Marchenko-type equations

et al. 2014

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“…The inverse scattering series treat multiples as a form of coherent noise and provide distinct subseries that remove free-surface and internal multiples before the inverse scattering subseries for imaging and inversion achieve their goals by using only primaries (Weglein et al [2003]; Weglein et al [2012]). If the inverse scattering series needed multiples to perform migration and inversion, they would not have provided subseries that remove those multiply reflected events.…”

Section: Issuesmentioning

confidence: 99%

Primaries — The only events that can be migrated and for which migration has meaning

Weglein

2015

The Leading Edge

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Without exception, primaries are the only events that are ever migrated. Arranging for a more complete set of primaries will enhance imaging. The approximate image of an unrecorded primary can be realized by isolating and migrating a subevent primary of a multiple. A more complete set of images of primaries, consisting of recorded primaries and (approximated) unrecorded primaries, can enhance imaging. Multiples are not and cannot be migrated, and care must be taken for creating inevitably false events in this method, called cross talk.

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“…It can be applied with or without subsurface information. The direct ISS depth imaging subseries reduces to the single term Stolt CIII migration algorithm for the case of adequate subsurface information above the structure to be imaged ( [6], [12] and http://mosrp.uh.edu/news/invited-presentation-petrobrasworkshop-aug-2016). In the case where there is adequate velocity information above a reflector, all the ISS imaging subseries terms beyond the linear first term (the linear first term in the ISS depth SPECIAL ISSUE ON SEISMIC IMAGING imaging subseries corresponds to Stolt CIII migration) will vanish for imaging that reflector.…”

Section: Multi-d Direct Inversionmentioning

confidence: 99%

Direct and indirect inversion and a new and comprehensive perspective on the role of primaries and multiples in seismic data processing for structure determination and amplitude analysis

Weglein¹

2018

CT&F Cienc. Tecnol. Futuro

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The removal and use of multiples have a single shared goal and objective: the imaging and inversion of primaries. There are two kinds of primaries: recorded primaries and unrecorded primaries. For imaging recorded primaries using an industry standard practice smooth velocity model, recorded multiples must be removed, to avoid false and misleading images due to the multiples. Similarly, to find an approximate image of an unrecorded primary, that is a subevent of a recorded multiple, unrecorded multiples that are subevents of the recorded multiple must be removed, for exactly the same problem and reason that recorded multiples are needed to be eliminated. Direct inverse methods are employed to derive this new comprehensive perspective on primaries and multiples. Direct inverse methods not only assure that the problem of interest is solved, but equally important, that the problem of interest is the relevant problem that we (the petroleum industry) need to be interested in.

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First field data examples of inverse scattering series direct depth imaging without the velocity model

Cited by 6 publications

References 8 publications

Seismic reflector imaging using internal multiples with Marchenko-type equations

Seismic reflector imaging using internal multiples with Marchenko-type equations

Primaries — The only events that can be migrated and for which migration has meaning

Direct and indirect inversion and a new and comprehensive perspective on the role of primaries and multiples in seismic data processing for structure determination and amplitude analysis

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