VSP imaging using all multiples: Full wavefield migration approach

Soni, A.K.; Staal, X.R.; Verschuur, Eric

doi:10.1190/segam2012-0695.1

Cited by 18 publications

(10 citation statements)

References 16 publications

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“…a diagonal element from matrix R(z n )) and σ r is the weighting parameter in the Cauchy regularization term (Amundsen, 1991;Sacchi et al, 1998;Soni et al, 2012). We use the Cauchy norm as a constraint which tends to make the solution sparser and helps in reducing the extrapolation noise in VSP imaging as well as crosstalk due to the blended sources.…”

Section: Full Wavefield Migration Of Blended Vsp Data: Constrained Lementioning

confidence: 99%

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Imaging blended VSP data using full wavefield migration

Soni

Verschuur

2013

SEG Technical Program Expanded Abstracts 2013

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SUMMARYBlended source and/or simultaneous source acquisition for multi-offset and multi-azimuth VSP measurements can prove significantly beneficial in saving expensive borehole downtime. In the last few years, for the case of surface seismic data, it was proposed to redefine imaging and inversion of the blended data to handle the data directly without any need to separate the blended sources. Recently, we proposed the concept of full wavefield migration (FWM) to image VSP data, where using all the multiples -both surface and internal multiples -in the imaging provides better illumination, especially away from the well. Using the above mentioned two concepts, in this paper, we will show the potential of FWM to directly image blended VSP data, without the need for intermediate deblending.We can see FWM imaging as a deblending algorithm itself that transforms the blended data into the reflectivity image space by an inversion process. The concept of FWM formulated in terms of a constrained least-squares inversion scheme indeed enables us to use any kind of complex source wavefield to explain the subsurface reflectivity. The method is illustrated successfully for some synthetic blended VSP examples.

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Section: Full Wavefield Migration Of Blended Vsp Data: Constrained Lementioning

confidence: 99%

“…For imaging VSP data, we recently proposed full wavefield migration (FWM) (for details on FWM concept and applications, please refer to Berkhout, 2012;Davydenko et al, 2012;Soni et al, 2012;Soni and Verschuur, 2013a,b). Using the full wavefield in imaging -i.e.…”

Section: Introductionmentioning

confidence: 99%

Imaging blended VSP data using full wavefield migration

Soni

Verschuur

2013

SEG Technical Program Expanded Abstracts 2013

Self Cite

View full text Add to dashboard Cite

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“…The full-wavefield modeling algorithm Berkhout, 2012Berkhout, , 2014aDavydenko et al, 2012;Soni et al, 2012;Soni and Verschuur, 2014a) is based on the integral solution of the wave equation. Full-wavefield modeling uses the subsurface reflectivity as a modeling parameter instead of the medium elastic parameters that are required in finite-difference methods.…”

Section: Full-wavefield Modeling For a Blended Vertical Seismic Profimentioning

confidence: 99%

“…For theoretical details on FWM and its application to surface seismic data, see, for example, Berkhout (2012Berkhout ( , 2014b Davydenko et al (2012), and Verschuur (2013, 2014). The application of FWM to image unblended VSP data is discussed in Soni et al (2012) and Soni and Verschuur (2013a, 2013c, 2014a, and initial reports on imaging blended VSP data are discussed in Verschuur (2013b, 2014b). We know that imaging the blended shot records directly causes crosstalk noise in the image due to wavefield interference.…”

Section: Introductionmentioning

confidence: 99%

Imaging blended vertical seismic profiling data using full-wavefield migration in the common-receiver domain

Soni

Verschuur

2015

GEOPHYSICS

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For vertical-seismic-profiling (VSP) measurements, the use of blended acquisition, with time-overlapping shot records, can greatly reduce the downtime and, thereby, provide large cost savings. For directly imaging blended VSP measurements, we have used full-wavefield migration (FWM). FWM is an inversion-based imaging scheme that enables us to use any kind of complex source wavefield to estimate the subsurface reflectivity, using all the multiples (surface and internal) in the recorded data. The multiple scattering helps in improving the illumination as well as the vertical resolution of the image. In this scheme, active deblending is not required because the imaging process itself acts as a deblending procedure. We tested the potential of FWM to image blended VSP data, using simple and complex synthetic models. We clearly determined that using the primaries, surface multiples, and internal multiples enhanced the illumination away from the well trajectory, in which blending noise was suppressed due to the inversion scheme. We observed that some blending crosstalk noise leaked into the images with large blending factors. Such noise could be further reduced with additional constraints in the involved least-squares inversion process.

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“…Conventionally, seismic processing is implemented as an open-loop process, in which information about the inconsistency between output and input is not taken into account. Recently, the so-called feedback-loop process has been introduced, see, e.g., Kutscha and Verschuur (2012) and Verschuur et al (2012) for data reconstruction, Lopez and Verschuur (2012) for multiple elimination and primary estimation, Soni et al (2012) and Davydenko et al (2012) for full wavefield migration, and Berkhout (2012) for joint migration inversion. The feedback-loop is described by an inversion problem of its own model parameters in each processing.…”

Section: Introductionmentioning

confidence: 99%

Dispersive multi-modal mud-roll elimination using feedback-loop approach

Ishiyama

2013

SEG Technical Program Expanded Abstracts 2013

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SummaryIn a shallow water environment, mud-rolls are often dominant and appear as a prevailing coherent noise in OBC seismic data. Their complex properties make the noise elimination notably challenging in seismic processing. To address these challenges, we propose a dispersive multimodal mud-roll elimination method using a feedback-loop approach with a sparse inversion of focal/Radon transformation. In this paper, we illustrate the proposed method, and show some examples on synthetic seismic data to demonstrate its virtues.

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VSP imaging using all multiples: Full wavefield migration approach

Cited by 18 publications

References 16 publications

Imaging blended VSP data using full wavefield migration

Imaging blended VSP data using full wavefield migration

Imaging blended vertical seismic profiling data using full-wavefield migration in the common-receiver domain

Dispersive multi-modal mud-roll elimination using feedback-loop approach

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