Elastic Least-Squares Reverse-Time Migration Based on a Modified Acoustic-Elastic Coupled Equation for OBS Four-Component Data

Sun, Minao; Jin, Shuanggen; Yu, Pengfei

doi:10.1109/tgrs.2020.3047117

Cited by 15 publications

(2 citation statements)

References 43 publications

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“…The partitioned method needs accurate kinematic and dynamic boundary conditions. A fluid-solid interface is usually treated with special mesh and coordinate mapping to match the two boundary conditions (Li et al, 2023;Qu et al, 2016;Sethi et al, 2022); (2) the monolithic approach (Fornberg, 1988;Komatitsch et al, 2000;Sun et al, 2021;Yu, Geng, Li, et al, 2016;, where elastic velocity-stress equation governs the wavefield in two-phase media without providing specific boundary conditions. Yu (Yu, Geng, Li, et al, 2016; substituted the synthetic pressure field into the first-order elastic velocity-stress equation, the first-order acoustic-elastic coupled equation is derived.…”

Section: Introductionmentioning

confidence: 99%

Numerical modeling of Scholte wave propagation in acoustic-elastic coupled anisotropic media

Chen,

Wang,

Hao

et al. 2023

Preprint

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Numerical modeling of Scholte wave propagation is helpful for seismic exploration in deepwater environment. Scholte waves, which are generated at seafloor, exhibit distinctly different propagation behaviors than body waves in ocean-bottom seismograms. We present a staggered-grid finite-difference method of modeling Scholte wave propagation in the interface between fluid and transversely isotropic media, where the interface does not need to consider the boundary condition. We also derive the stability condition of the proposed method. Numerical examples are used to analyze the wavefield and traveltime of Scholte waves. Numerical results show that the velocity of the Scholte wave is positively correlated with ε and negatively correlated with δ. And the curve of the arrival time of the Scholte wave as a whole is sinusoidal and has no symmetry in inclination. The velocity of the Scholte wave in azimuth is positively related to the polar angle. The energy of the Scholte wave is negatively correlated with the distance from the source to the fluid-solid interface.

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Section: Introductionmentioning

confidence: 99%

Numerical modeling of Scholte wave propagation in acoustic-elastic coupled anisotropic media

Chen,

Wang,

Hao

et al. 2023

Preprint

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“…Due to the good performance on improving resolution, it has been investigated in seismic imaging for acoustic-wave single component data [7][8][9][10][11][12][13][14][15][16][17][18] and elastic-wave multiple component data [19][20][21][22]. Besides, the elastic least-squares migration is extended to obtain multiparameter images, such as P-and S-wave velocity and density, to cope with the trade-off effects [23,24]. However, since this data-domain LSM has a high dependency on the accuracy of wavelet and velocity, most achievements for LSM are mainly obtained in theoretical experiments.…”

Section: Introductionmentioning

confidence: 99%

Least-Squares Reverse Time Migration in Imaging Domain Based on Global Space-Varying Deconvolution

Sun

Chen

et al. 2022

Applied Sciences

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The classical least-squares migration (LSM) translates seismic imaging into a data-fitting optimization problem to obtain high-resolution images. However, the classical LSM is highly dependent on the precision of seismic wavelet and velocity models, and thus it suffers from an unstable convergence and excessive computational costs. In this paper, we propose a new LSM method in the imaging domain. It selects a spatial-varying point spread function to approximate the accurate Hessian operator and uses a high-dimensional spatial deconvolution algorithm to replace the common-used iterative inversion. To keep a balance between the inversion precision and the computational efficiency, this method is implemented based on the strategy of regional division, and the point spread function is computed using only one-time demigration/migration and inverted individually in each region. Numerical experiments reveal the differences in the spatial variation of point spread functions and highlight the importance to use a space-varying deconvolution algorithm. A 3D field case in Northwest China can demonstrate the effectiveness of this method on improving spatial resolution and providing better characterizations for small-scale fracture and cave units of carbonate reservoirs.

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Elastic Gaussian-Beam Migration for PP and PS Imaging Using Single-Component Seismic Data

Shi

Han

Mao

2023

IEEE Geosci. Remote Sensing Lett.

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Elastic Least-Squares Reverse-Time Migration Based on a Modified Acoustic-Elastic Coupled Equation for OBS Four-Component Data

Cited by 15 publications

References 43 publications

Numerical modeling of Scholte wave propagation in acoustic-elastic coupled anisotropic media

Numerical modeling of Scholte wave propagation in acoustic-elastic coupled anisotropic media

Least-Squares Reverse Time Migration in Imaging Domain Based on Global Space-Varying Deconvolution

Elastic Gaussian-Beam Migration for PP and PS Imaging Using Single-Component Seismic Data

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