2015
DOI: 10.3997/2214-4609.201412915
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Depth Domain Inversion Case Study in Complex Subsalt Area

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Cited by 13 publications
(2 citation statements)
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“…Moving toward inversion using a 3D convolution operator for the modeling part is, however, now possible with RB (or FD) PSFs. Similarly, using a full-wavefield approach, Letki et al (2015) recently show that FD PSFs can compensate for illumination effects in a depth-domain inversion approach, giving better amplitudes leading to improved interpretation. In addition, turning the 1D inversion itself into a 3D RB-PSF constrained inversion, following the Buland and Omre (2003) inversion scheme, is also prototyped but not yet published because thorough testing toward benchmarked synthetics and actual PSDM data remain to be completed.…”
Section: Discussionmentioning
confidence: 98%
“…Moving toward inversion using a 3D convolution operator for the modeling part is, however, now possible with RB (or FD) PSFs. Similarly, using a full-wavefield approach, Letki et al (2015) recently show that FD PSFs can compensate for illumination effects in a depth-domain inversion approach, giving better amplitudes leading to improved interpretation. In addition, turning the 1D inversion itself into a 3D RB-PSF constrained inversion, following the Buland and Omre (2003) inversion scheme, is also prototyped but not yet published because thorough testing toward benchmarked synthetics and actual PSDM data remain to be completed.…”
Section: Discussionmentioning
confidence: 98%
“…Fletcher et al (2012Fletcher et al ( , 2016 replaced the 1D wavelet in conventional time-depth inversion with the point spread functions of depth imaging processing, attaining direct seismic inversion in the depth domain [21,22]. Then this idea was applied to complex subsalt environments [25][26][27][28], depth-domain Q compensation [29], depth-domain deghosting [30], pre-stack depth-domain elastic inversion [31][32][33], 4D inversion in the depth domain [34], and enhanced quantitative interpretation [35]. However, solving the point spread function requires a long computation time and large storage space, and the accuracy of the solution is highly dependent on the accuracy of the built depth-domain velocity model.…”
Section: Introductionmentioning
confidence: 99%