Elastic reverse time migration in VTI media based on the acoustic wave equations

Zhong, Yu; Liu, Yangting; Luo, Xin

doi:10.1016/j.jappgeo.2019.06.010

Cited by 12 publications

(11 citation statements)

References 29 publications

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“…The red line is the surface topography. Zhong et al, 2019Zhong et al, , 2021aZhong et al, , 2021bZhu, 2017), which can provide more image information for parameter estimation and reservoir characterization. The fluid-related hydrocarbon reservoirs and some special geologic structures (e.g., the gas plume or chimney) can be identified more accurately through the images of ERTM.…”

Section: F I G U R Ementioning

confidence: 99%

“…Combining the elastic wave equations ( 1) with the modified pseudo-acoustic wave equations (4), we can obtain vector P-waves and vector S-waves (Zhong et al, 2019). Then, the source vector P-waves and vector S-waves and receiver vector P-waves and vector S-waves can be obtained by numerically solving the following Equations (5) in the proposed ERTM:…”

Section: Elastic Wavefield Decomposition In Vti Media Based On the Mo...mentioning

confidence: 99%

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Elastic reverse time migration method in vertical transversely isotropic media including surface topography

Zhong

Liu

et al. 2022

Geophysical Prospecting

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Compared with acoustic seismic data, multi-wave and multi-component seismic data can offer some special media properties. Elastic reverse time migration is a highprecision migration method to image multi-wave and multi-component seismic data. Anisotropy widely exists in the earth, and it is important to take anisotropy into account and correct the anisotropy effect for obtaining high-quality image results during migration. However, accurate elastic reverse time migration in anisotropic media is still a challenging task, particularly for areas with irregular surface topography. To resolve these issues, a new elastic reverse time migration method is developed to correct the anisotropy effect in vertical transversely isotropic media with surface topography. We first use the modified pseudo-acoustic wave equations of vertical transversely isotropic media to assist the elastic wavefield separation in vertical transversely isotropic media for suppressing the crosstalk artefacts between different wave modes and further generating high-quality images. We then use a topography-related filter to remove the influence of surface topography on the migration results of elastic reverse time migration. The advantage of the proposed topography-related filter is that we do not need to make any changes to the conventional finite-difference method based on regular grids but can calculate the wavefield in the areas with irregular surface topography efficiently.The synthetic examples with different surface topographies models demonstrate that our proposed elastic reverse time migration method can correct the anisotropy effect effectively, remove the influence of surface topography on elastic reverse time migration results, and generate high-quality images.

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Section: F I G U R Ementioning

confidence: 99%

Section: Elastic Wavefield Decomposition In Vti Media Based On the Mo...mentioning

confidence: 99%

Elastic reverse time migration method in vertical transversely isotropic media including surface topography

Zhong

Liu

et al. 2022

Geophysical Prospecting

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“…Because both P-and S-waves obtained from the decoupled wave Equation (1) are vectors, the following scalar imaging condition (2), which is based on vector P-and Swaves [19,20], was used to obtain the meaningful PP images and PS images in this study:…”

Section: Imaging Condition For Elastic Rtmmentioning

confidence: 99%

“…The scalar imaging condition uses full vector information of P-and S-waves [19,20]. Furthermore, the scalar imaging condition does not require a polarity correction of PS in most cases [7].…”

Section: Imaging Condition For Elastic Rtmmentioning

confidence: 99%

Elastic Reverse-Time Migration with Complex Topography

Zhong

Liu

et al. 2021

Energies

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Migration is an important step in seismic data processing for oil and gas exploration. The accuracy of migration directly affects the accuracy of subsequent oil and gas reservoir characterization. Reverse-time migration is one of the most accurate migration methods at present. Multi-wave and multicomponent seismic data contain more P- and S-wave information. Making full use of multi-wave and multicomponent seismic data can offer more information about underground structure and lithology, as well as improve the accuracy of seismic exploration. Elastic reverse-time migration (ERTM) has no dip restriction and can be applied to image multi-wave and multicomponent seismic data in complex structural areas and some special lithology structures. However, the surface topography of complex regions has an influence on wavefield and seriously degrades the quality of ERTM’s migration results. We developed a new ERTM method to migrate multi-wave and multicomponent seismic data in the region with complex surface topography. We first fill the layers between the highest and lowest undulating surface with near-surface elastic parameters in a complex topography model to obtain a new model with a horizontal surface. This allows the finite difference (FD) method based on the regular rectangular grid to be used to numerically solve elastic wave equations in the model with complex topography. The decoupled wave equations are used to generate source P- and S-waves and receiver P- and S-waves to reduce crosstalk artefacts in ERTM. A topography-related filter is further used to remove the influence of surface topography on migration results. The scalar imaging condition is also applied to generate PP and PS migration images. Some numerical examples with different complex topographies demonstrate that our proposed ERTM method can remove the influence of complex topography on ERTM’s images and effectively generate high-quality ERTM images.

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“…TFM is an imaging method based on full-matrix capture (FMC) data [ 27 ]. Reverse time migration (RTM) has been extensively studied in geophysical exploration and other fields [ 28 , 29 ] and is an imaging method based on FMC data. In recent years, this method has been applied in the field of ultrasonic testing and promising results have been achieved [ 30 ].…”

Section: Introductionmentioning

confidence: 99%

An Ultrasonic Reverse Time Migration Imaging Method Based on Higher-Order Singular Value Decomposition

Zhang

Gao

Zhang

et al. 2022

Sensors

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An ultrasonic reverse time migration imaging method, based on high-order singular value decomposition, is proposed in the study to solve the problems of low signal-to-noise ratio (SNR) and excessive artifacts in defect ultrasonic detection imaging results of materials with high noise levels. In this method, based on the 3D structural properties of the ultrasonic full-matrix capture data, higher-order singular value decomposition is directly performed with the 3D data. The method overcomes the difficulty in selecting the number of singular values in the original singular value decomposition noise-reduction algorithm and realizes the one-step noise reduction processing of all the signals. Subsequently, the reverse time migration imaging is performed in the frequency domain, and high-quality acoustic images are obtained. The effects of the number of array elements, the center frequency of the excitation signal, and the number of defects on the denoising effect of the algorithm are investigated. It was experimentally demonstrated that the method could suppress the interference of noise signals and significantly improve the imaging SNR compared with total focusing method and the reverse time migration.

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Elastic reverse time migration in VTI media based on the acoustic wave equations

Cited by 12 publications

References 29 publications

Elastic reverse time migration method in vertical transversely isotropic media including surface topography

Elastic reverse time migration method in vertical transversely isotropic media including surface topography

Elastic Reverse-Time Migration with Complex Topography

An Ultrasonic Reverse Time Migration Imaging Method Based on Higher-Order Singular Value Decomposition

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