Reverse time migration of multiples: Reducing migration artifacts using the wavefield decomposition imaging condition

Wang, Yibo; Zheng, Yikang; Xue, Qingfeng; Chang, Xu; Fei, Tong W.; Luo, Yi

doi:10.1190/geo2016-0354.1

Cited by 24 publications

(11 citation statements)

References 34 publications

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“…; Wang et al . ). The receiver wave‐field

R (t, x)

can be decomposed into up‐going part

R_{u} false(t, boldx false)

and down‐going part

R_{d} false(t, boldx false)

in the same way.…”

Section: Methodsmentioning

confidence: 97%

“…The implementation of RTM is based on the two-way waveequation, which produces forward and backward wave-fields on reflectors. We decompose the source wave-field S(t, x) into up-going part S u (t, x) and down-going part S d (t, x) according to the wave-field decomposition method (Liu et al 2011;Wang et al 2017). The receiver wave-field R(t, x) can be decomposed into up-going part R u (t, x) and down-going part R d (t, x) in the same way.…”

Section: Imaging Condition Using Wave-field Decompositionmentioning

confidence: 99%

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Imaging artefacts of artificial diving waves in reverse time migration: cause analysis in the angle domain and an effective removal strategy

Liu

Yan

et al. 2019

Geophysical Prospecting

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In areas with strong velocity gradients, traditional reverse time migration based on cross‐correlation imaging condition not only produces low‐frequency noise but also generates diving wave artefacts. The artefacts caused by diving waves have no typical low‐frequency characteristics and cannot be eliminated by simple high‐pass filtering approaches. We apply the wave‐field decomposition imaging condition to analyse the causes of false images in reverse time migration by decomposing the full wave‐field into up‐going and down‐going components in the angle domain. We find that artificial diving wave imaging artefacts, which are generated by the cross‐correlation between the up‐going source and down‐going receiver wave‐fields in areas with strong velocity gradients, arise at large angles. We propose an efficient strategy by means of the wavelength‐dependent smoothing operator to eliminate artefacts from artificial diving waves in reverse time migration. Specifically, the proposed method provides more reasonable down‐going wave‐fields in areas with sharp velocity constructs by considering the factor of varying seismic wavelengths during wave propagation, and the artificial components of diving waves are eliminated in a straightforward manner. Meanwhile, the other wave‐field components that contribute to true subsurface images are minimally affected. Benefiting from a smoothed velocity, the proposed method can be adapted to the traditional reverse time migration imaging frame, which reveals significant implementation potential for the seismic exploration industry. A salt model is designed and included to demonstrate the effectiveness of our approach.

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“…; Wang et al . ). The receiver wave‐field

R (t, x)

can be decomposed into up‐going part

R_{u} false(t, boldx false)

and down‐going part

R_{d} false(t, boldx false)

in the same way.…”

Section: Methodsmentioning

confidence: 97%

Section: Imaging Condition Using Wave-field Decompositionmentioning

confidence: 99%

Imaging artefacts of artificial diving waves in reverse time migration: cause analysis in the angle domain and an effective removal strategy

Liu

Yan

et al. 2019

Geophysical Prospecting

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“…; Wang et al . ; Zheng, Wang and Chang ). When the electromagnetic wave is incident into the horizontal layered medium, the source and receiver wavefields will form down‐ and up‐going wavefield after passing through the electrical interface.…”

Section: Reverse Time Migration With Full Wavefield Decomposition Basmentioning

confidence: 98%

Reverse time migration of ground‐penetrating radar with full wavefield decomposition based on the Hilbert transform

Zhong

Wang

Zheng

et al. 2020

Geophysical Prospecting

Self Cite

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A B S T R A C TThe conventional reverse time migration of ground-penetrating radar data is implemented with the two-way wave equation. The cross-correlation result contains low-frequency noise and false images caused by improper wave paths. To eliminate low-frequency noise and improve the quality of the migration image, we propose to separate the left-up-going, left-down-going, right-up-going and right-down-going wavefield components in the forward-and backward-propagated wavefields based on the Hilbert transform. By applying the reverse time migration of ground-penetrating radar data with full wavefield decomposition based on the Hilbert transform, we obtain the reverse time migration images of different wavefield components and combine correct imaging conditions to generate complete migration images. The proposed method is tested on the synthetic ground-penetrating radar data of a tiltinterface model and a complex model. The migration results show that the imaging condition of different wavefield components can highlight the desired structures. We further discuss the reasons for incomplete images by reverse time migration with partial wavefields. Compared with the conventional reverse time migration methods for ground-penetrating radar data, low-frequency noise can be eliminated in images generated by the reverse time migration method with full wavefield decomposition based on the Hilbert transform.

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“…The EPSI scheme can be seen as an inversion process, where the two-stage processing of SRME, prediction and adaptive subtraction, are replaced by a full-waveform inversion step. As mentioned before, some researchers attempt to use freesurface multiple reflections as useful signal during the migration process (Brown and Guitton, 2005;Verschuur and Berkhout, 2011;Wang et al, 2017). The migration of free-surface multiple reflections gives extra illumination of the subsurface with crosstalk present as coherent noises.…”

Section: Introductionmentioning

confidence: 99%

A field data example of Marchenko multiple elimination

Zhang

Slob

2020

GEOPHYSICS

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Internal multiple reflections have been widely considered as coherent noise in measured seismic data, and many approaches have been developed for their attenuation. The Marchenko multiple elimination (MME) scheme eliminates internal multiple reflections without model information or adaptive subtraction. This scheme was originally derived from coupled Marchenko equations, but it was modified to make it model independent. It filters primary reflections with their two-way traveltimes and physical amplitudes from measured seismic data. The MME scheme is applied to a deepwater field data set from the Norwegian North Sea to evaluate its success in removing internal multiple reflections. The result indicates that most internal multiple reflections are successfully removed and primary reflections masked by overlapping internal multiple reflections are recovered.

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Reverse time migration of multiples: Reducing migration artifacts using the wavefield decomposition imaging condition

Cited by 24 publications

References 34 publications

Imaging artefacts of artificial diving waves in reverse time migration: cause analysis in the angle domain and an effective removal strategy

Imaging artefacts of artificial diving waves in reverse time migration: cause analysis in the angle domain and an effective removal strategy

Reverse time migration of ground‐penetrating radar with full wavefield decomposition based on the Hilbert transform

A field data example of Marchenko multiple elimination

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