Imaging of Blended VSP Data Using Full Wavefield Migration in the Common-receiver Domain

Soni, A.K.; Verschuur, D.J.; Berkhout, A. J.

doi:10.3997/2214-4609.20140770

Cited by 3 publications

(3 citation statements)

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“…Now let us discuss the forward modeling of unblended VSP data in the common-receiver domain. Mathematically, the down-and upgoing wavefields incident at a depth level z n from above and from below, respectively, can be written as (Soni and Verschuur, 2014a) …”

Section: R124mentioning

confidence: 99%

“…To compute the gradient, we use the zero-lag correlation between the back-projected pseudodeblended residual and the forward-propagated downgoing wavefields (for more details, see, e.g., Tarantola, 1984Tarantola, , 1987. The steepest-descent direction is the negative of the gradient and can be written for a depth level z n as (Soni and Verschuur, 2014a) …”

Section: Appendix a The Inversion Schemementioning

confidence: 99%

“…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%

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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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Section: R124mentioning

confidence: 99%

Section: Appendix a The Inversion Schemementioning

confidence: 99%

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

confidence: 99%

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

Soni

Verschuur

2015

GEOPHYSICS

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3D surface‐wave estimation and separation using a closed‐loop approach

Ishiyama

Blacquière

Verschuur

et al. 2015

Geophysical Prospecting

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Surface waves in seismic data are often dominant in a land or shallow‐water environment. Separating them from primaries is of great importance either for removing them as noise for reservoir imaging and characterization or for extracting them as signal for near‐surface characterization. However, their complex properties make the surface‐wave separation significantly challenging in seismic processing. To address the challenges, we propose a method of three‐dimensional surface‐wave estimation and separation using an iterative closed‐loop approach. The closed loop contains a relatively simple forward model of surface waves and adaptive subtraction of the forward‐modelled surface waves from the observed surface waves, making it possible to evaluate the residual between them. In this approach, the surface‐wave model is parameterized by the frequency‐dependent slowness and source properties for each surface‐wave mode. The optimal parameters are estimated in such a way that the residual is minimized and, consequently, this approach solves the inverse problem. Through real data examples, we demonstrate that the proposed method successfully estimates the surface waves and separates them out from the seismic data. In addition, it is demonstrated that our method can also be applied to undersampled, irregularly sampled, and blended seismic data.

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Full wavefield migration to image salt-flanks using an unblended and blended VSP data

Soni

Verschuur

Davydenko

2014

SEG Technical Program Expanded Abstracts 2014

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Imaging of Blended VSP Data Using Full Wavefield Migration in the Common-receiver Domain

Cited by 3 publications

References 0 publications

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

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

3D surface‐wave estimation and separation using a closed‐loop approach

Full wavefield migration to image salt-flanks using an unblended and blended VSP data

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