Elastic‐wave reverse‐time migration with a wavefield‐separation imaging condition

Denli, Huseyin; Huang, Lianjie

doi:10.1190/1.3059351

Cited by 25 publications

(16 citation statements)

References 7 publications

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“…Ravasi and Curtis Denli and Huang, 2008;Lu et al, 2010). Other than transmission artifacts, present also in the PP images and significantly attenuated by the application of a nonlinear imaging condition (Figure 22d), polarity reversals are evident.…”

Section: S150mentioning

confidence: 94%

“…A more sophisticated procedure proposed by Balch and Erdemir (1994) corrects for this reversal in complex background velocity models by estimating the P-wave incidence angle for every image point using a ray approximation, and demonstrated its feasibility in a cross-borehole experiment. Denli and Huang (2008) defined a wavefield-separation imaging condition based on the separation of wavefields with respect to a given direction using f-k filters after the elastic wavefields are downward propagated. Rosales et al (2008) and Lu et al (2010) suggested an approach in which the angle-domain common-image gathers (Sava and Fomel, 2003) are computed at every image point and the polarity is corrected in the angle domain before stacking.…”

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confidence: 99%

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Nonlinear scattering based imaging in elastic media: Theory, theorems, and imaging conditions

Ravasi

Curtis

2013

GEOPHYSICS

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With the more widespread introduction of multicomponent recording devices in land and marine ocean-bottom seismic acquisition, elastic imaging may become mainstream in coming years. We have derived new, nonlinear, elastic imaging conditions. A correlation-type representation theorem for perturbed elastic media, commonly used in seismic interferometry to explain how a scattered wave response between two receivers/ sources may be predicted given a boundary of sources/receivers, can be considered as a starting point for the derivation. Here, we use this theorem to derive and interpret imaging conditions for elastic migration by wavefield extrapolation (e.g., elastic reverse-time migration). Some approximations lead to a known, heuristically derived imaging condition that crosscorrelates P-and S-wave potentials that are separated in the subsurface after full-wavefield extrapolation. This formal connection reveals that the nonapproximated correlation-type representation theorem can be interpreted as a nonlinear imaging condition, that accounts also for multiply scattered and multiply converted waves, properly focusing such energy at each image point. We present a synthetic data example using either an ideal (acquisition on a full, closed boundary) or a real (partial boundary) seismic exploration survey, and we demonstrate the importance of nonlinearities in pure-and converted-mode imaging. In PP imaging, they result in better illumination and artifact reduction, whereas in PS imaging they show how zero time-lag and zero space-lag crosscorrelation imaging conditions are not ideal for imaging of converted-mode waves because no conversion arises from zero-offset experiments.

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Section: S150mentioning

confidence: 94%

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confidence: 99%

Nonlinear scattering based imaging in elastic media: Theory, theorems, and imaging conditions

Ravasi

Curtis

2013

GEOPHYSICS

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“…This implies that P-and Swave separations that preserve their respective particle motions need to be performed prior to extrapolation (Sun and McMechan, 2001;Sun et al, 2004), or as part of the imaging condition (Sun et al, 2006). There are few algorithms for PS wavefield separation (Dellinger, 1991;Balch and Erdemir, 1994;Yan and Sava, 2007;Denli and Huang, 2008;Lu et al, 2010;Zhang and McMechan, 2010), many of which are based on divergence and curl calculations, and so do not preserve the input particle motion. Divergence is a scalar, and curl is a vector oriented perpendicular to the input Swave polarization.…”

Section: Elastic Wavefield Propagation and Imagingmentioning

confidence: 98%

Five ways to avoid storing source wavefield snapshots in 2D elastic prestack reverse time migration

2015

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Five alternative algorithms were evaluated to circumvent the excessive storage requirement imposed by saving source wavefield snapshots used for the crosscorrelation image condition in 2D prestack elastic reverse time migration. We compared the algorithms on the basis of their ability, either to accurately reconstruct (not save) the source wavefield or to use an alternate image condition so that neither saving nor reconstruction of full wavefields was involved. The comparisons were facilitated by using the same (velocity-stress) extrapolator in all the algorithms, and running them all on the same hardware. We assumed that there was enough memory in a node to do an extrapolation, and that all input data were stored on disk rather than residing in randomaccess memory. This should provide a fair and balanced comparison. Reconstruction of the source wavefield from boundary and/or initial values reduced the required storage to a very small fraction of that needed to store source wavefield snapshots for conventional crosscorrelation, at the cost of adding an additional source extrapolation. Reverse time checkpointing avoided recursive forward recomputation. Two nonreconstructive imaging conditions do not require full snapshot storage or an additional extrapolation. Timebinning the imaging criteria removed the need for image time searching or sorting. Numerical examples using elastic data from the Marmousi2 model showed that the quality of the elastic prestack PP and PS images produced by the cost-optimized alternative algorithms were (virtually) identical to the higher cost images produced by traditional crosscorrelation.

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“…Denli and Huang (2008) proposed the following imaging conditions for elastic RTM by decomposing the wavefield into up-and down-going components: Denli and Huang (2008) proposed the following imaging conditions for elastic RTM by decomposing the wavefield into up-and down-going components:…”

Section: P-and S-wave Imaging Conditionsmentioning

confidence: 99%

P‐ and S‐wave angle‐domain common‐image gathers (ADCIGs) based on elastic‐wave reverse‐time migration

Haibo

2016

Geological Journal

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Elastic‐wave reverse‐time migration is an important imaging strategy because of its ability to image complex geologic structures and to efficiently extract elastic‐wave angle‐domain common‐image gathers (ADCIGs), which is an important task for amplitude‐versus‐angle (AVA) analysis and migration velocity analysis (MVA) in multicomponent exploration. Based on the characteristics of Poynting vectors in an elastic medium, we derive the wavefield‐separation imaging conditions for elastic reverse‐time migration (RTM) and establish the method of calculating the incident angle of source P‐wavefield using the propagation angle of source P‐wavefield and local dip angle of the reflector. Accurate ADCIGs can then be extracted based on the estimated incident angles with small computational cost. Two numerical examples show that the proposed method for extracting elastic‐wave ADCIGs can provide clear and accurate image and image gathers for elastic‐wave imaging tasks and therefore can provide reliable amplitude information for AVA and MVA. Copyright © 2016 John Wiley & Sons, Ltd.

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Elastic‐wave reverse‐time migration with a wavefield‐separation imaging condition

Cited by 25 publications

References 7 publications

Nonlinear scattering based imaging in elastic media: Theory, theorems, and imaging conditions

Nonlinear scattering based imaging in elastic media: Theory, theorems, and imaging conditions

Five ways to avoid storing source wavefield snapshots in 2D elastic prestack reverse time migration

P‐ and S‐wave angle‐domain common‐image gathers (ADCIGs) based on elastic‐wave reverse‐time migration

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