Extraction of P- and S-wave angle-domain common-image gathers based on first-order velocity-dilatation-rotation equations

Li, Kairui; He, Bing-Shout

doi:10.1007/s11770-019-0799-5

Cited by 4 publications

(2 citation statements)

References 28 publications

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“…Chen and He (2014) have used the Poynting vector to decompose the source and receiver wavefields in the four directions of up, down, left, and right, which can greatly improve the suppression effect of lowwavenumber noises with small additional computation cost. Therefore, this method has been widely used (Wang and He, 2017;Liu, 2019;Li and He, 2020;Wang et al, 2021). However, there are also two problems in wavefield decomposition based on the Poynting vector method.…”

Section: Introductionmentioning

confidence: 99%

“…However, there are also two problems in wavefield decomposition based on the Poynting vector method. First, it is not accurate enough for the Poynting vector method to indicate all directions of seismic wave propagation (Du et al, 2012;Zhang, 2014;Duan and Sava, 2015;Li and He, 2020) and the second is that there are always some singularities in the Poynting vector.…”

Section: Introductionmentioning

confidence: 99%

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Angle-Weighted Reverse Time Migration With Wavefield Decomposition Based on the Optical Flow Vector

Xie

Song

et al. 2021

Front. Earth Sci.

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Reverse time migration (RTM) is based on the two-way wave equation, so its imaging results obtained by conventional zero-lag cross-correlation imaging conditions contain a lot of low-wavenumber noises. So far, the wavefield decomposition method based on the Poynting vector has been developed to suppress these noises; however, this method also has some problems, such as unstable calculation of the Poynting vector, low accuracy of wavefield decomposition, and poor effect of large-angle migration artifacts suppression. This article introduces the optical flow vector method to RTM to realize high-precision wavefield decomposition for both the source and receiver wavefields and obtains four directions of wavefields: up-, down-, left-, and right-going. Then, the cross-correlation imaging sections of one-way propagation components of forward- and back-propagated wavefields are optimized and stacked. On this basis, the reflection angle of each imaging point is calculated based on the optical flow vector, and an attenuation factor related to the reflection angle is introduced as the weight to generate the optimal stack images. The tests of theoretical model and field marine seismic data illustrate that compared with the conventional RTM with wavefield decomposition based on the Poynting vector, the angle-weighted RTM with wavefield decomposition based on the optical flow vector proposed in this article can achieve wavefield decomposition for both the source and receiver wavefields and calculate the reflection angle of each imaging point more accurately and stably. Moreover, the proposed method adopts angle weighting processing, which can further eliminate large-angle migration artifacts and effectively improve the imaging accuracy of RTM.

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Section: Introductionmentioning

confidence: 99%