Resolution/illumination analysis and imaging compensation in 3D dip-azimuth domain

Cao, Jun

doi:10.1190/segam2013-0380.1

Cited by 14 publications

(14 citation statements)

References 14 publications

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“…Scatterings from near surface small-scale heterogeneities (2008), investigated the relationship between the PSF and seismic illumination. Xie, et al (2005b), Mao and Wu (2011), Cao (2013) Valenciano, et al (2015 adopted the resolution information to improve the quality of the depth image. Cao (2013) proposed the method that uses the image method to directly calculate the PSF.…”

Section: Lecomtementioning

confidence: 99%

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How scatterings from small-scale near-surface heterogeneities affecting seismic data and the quality of depth image, analysis based on seismic resolution

Xie

Hongxiao²,

Chen

2016

SEG Technical Program Expanded Abstracts 2016

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Strong near surface scattering in land acquisition often prevents us from obtaining high-quality seismic data and satisfactory depth images. How small-scale heterogeneities in the near surface layer can affect the seismic data and the quality of seismic image is highly complicated. Based on the seismic resolution theory, we propose a method to analyze their relationship. We use the parameterized random media to characterize the near surface small-scale heterogeneities. Adopt the point spreading function of the image process as the generalized image, and use its amplitude and phase errors to judge the image quality. The migration process is used to relate the statistical parameters of the model and the characteristics of the resolution. Together they form a highly flexible method for investigating the shallow scattering problem. The result shows that the thickness of the random layer, the root mean square fluctuation and the correlation length all affect the quality of the image. The main purpose of this research is developing the analysis tool which can be used for investigating the shallow scattering problem and providing objective judgment for various methods proposed to mitigate the problem.

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Section: Lecomtementioning

confidence: 99%

“…Xie, et al (2005b), Mao and Wu (2011), Cao (2013) Valenciano, et al (2015 adopted the resolution information to improve the quality of the depth image. Cao (2013) proposed the method that uses the image method to directly calculate the PSF. Chen and Xie (2015) further discussed this method.…”

Section: Lecomtementioning

confidence: 99%

How scatterings from small-scale near-surface heterogeneities affecting seismic data and the quality of depth image, analysis based on seismic resolution

Xie

Hongxiao²,

Chen

2016

SEG Technical Program Expanded Abstracts 2016

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show abstract

“…Xie et al (2005b), Mao andWu (2011), Valenciano et al (2015) adopted the resolution information from PSF to improve the quality of the depth image. Cao (2013) proposed the method that directly calculates the PSF by imaging a single scattering point. Chen and Xie (2015) further discussed this method to avoid high order scatterings.…”

Section: Seismic Resolution and Point Spreading Functionmentioning

confidence: 99%

“…Namely, the image is a distorted version of the structure. The image at location can be described as the convolution between the PSF and velocity model (Xie et al, 2005b;Cao, 2013;Chen and Xie, 2015):…”

Section: Seismic Resolution and Point Spreading Functionmentioning

confidence: 99%

Investigating the Effect of Shallow Scatterings From Small‐scale Near‐surface Heterogeneities on Seismic Imaging: A Resolution Analysis Based Method

Chen

Hongxiao

Xie

2016

Chinese J of Geophysics

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In land acquisition, particularly in Western China, the near surface layer is often dominated by small‐scale heterogeneities. Strong scatterings generated in this layer can seriously affect the quality of data acquisition and depth imaging. Although it has drawn wide attention from the industry and research community, there is lack of an effective way to investigate the relation between the shallow heterogeneities and the quality of the depth image. In this paper, we introduce the parameterized random velocity model to simulate the velocity heterogeneities in the shallow depth, thus statistical parameters such as the random spectra, correlation length, root mean square velocity perturbation can be used to describe the highly complicated small‐scale heterogeneities. In the meantime, we introduce the point spreading function to investigate the image quality. The point spreading function and its amplitude and phase spectra in wavenumber domain provide useful information to characterize the quality of the image. This simplifies the descriptions for both complex shallow velocity models and distortions of depth image, making it possible to create a concise relationship between the two. We further use numerical calculations to correlate statistical parameters of random models with the characteristics of point spreading functions. In this way, the relationship between shallow heterogeneities and the depth image can be quantitatively investigated. The proposed method is validated by numerical examples. The results reveal that the thickness of the random layer, the root mean square velocity perturbation, and the correlation length all apparently affect the quality of the depth image.

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“…Later, the local exponential frame Cao and Wu, 2009;Mao and Wu, 2010) was published to efficiently compute angle-domain image and illumination. Some authors (Gherasim et al, 2012;Cao, 2013) propose to calculate the resolution function in an RTM by placing a grid of point scatterers in the model and normalize the image with resolution function in either the reflection angle or dipangle domain.…”

Section: Introductionmentioning

confidence: 99%

Acquisition aperture correction in the angle domain toward true-reflection reverse time migration

et al. 2014

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Due to incomplete aperture coverage and complex overburden structures, the migration process cannot provide a trueamplitude image even though a true-amplitude propagator is used. Amplitude compensation based on source-side illumination ignores the aperture effects on the receiver side, and it may fail to recover the true-reflection/scattering strength of a geologic structure from the image. The structural dip largely controls if the wave incident on the structure can be reflected back and received by the acquisition aperture, so it should be taken into account in removing the acquisition effects from the migration image. We derived a dip-angle domain amplitude correctionfrom the resolution theory. The stacked migration image created by reverse time migration was decomposed into common dip images, which were compensated individually by the corresponding amplitude correction factor. Then, we summed up the corrected images to form a final image. To construct the amplitude correction factor, we generated a monofrequency Green's function at the shot/geophone location and further decomposed it into incident/ scattered plane waves. They were combined based on Snell's law to construct correction factors for different dips. The final amplitude correction factor was formed by visiting all the shotgeophone pairs in the observation system. We devised efficient algorithms to make the amplitude correction more practical. We evaluated two numerical experiments, a five-layer model and the SEG/EAGE salt model, in which the amplitude correction led to a scalar/pressure image with an amplitude better matching the true impedance contrasts of subsurface structures, especially in areas with steep dips and in subsalt regions.

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Resolution/illumination analysis and imaging compensation in 3D dip-azimuth domain

Cited by 14 publications

References 14 publications

How scatterings from small-scale near-surface heterogeneities affecting seismic data and the quality of depth image, analysis based on seismic resolution

How scatterings from small-scale near-surface heterogeneities affecting seismic data and the quality of depth image, analysis based on seismic resolution

Investigating the Effect of Shallow Scatterings From Small‐scale Near‐surface Heterogeneities on Seismic Imaging: A Resolution Analysis Based Method

Acquisition aperture correction in the angle domain toward true-reflection reverse time migration

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