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

Soni, A.K.; Verschuur, Eric; Davydenko, M.

doi:10.1190/segam2014-1032.1

Cited by 1 publication

(1 citation statement)

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“…However, this concept can be extended to include nearly horizontally traveling wavefields such as turning waves to image very steep or vertical structures. For examples for surface seismic data, see Verschuur (2013, 2014) and for VSP data, see Soni et al (2014). Now, in the reciprocal domain, the modeled VSP data P T vsp at any iteration provide the upgoing wavefields at the surface, given by equation 9 for z n ¼ z 0 , which is the data due to an unblended shot experiment.…”

Section: R125mentioning

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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Section: R125mentioning

confidence: 99%