Abstract
In recent decades, the study of seismic attenuation has received more and more concerns because it can stimulate the development of wave propagation simulation and improve the accuracy of structure imaging and reservoir prediction. In this paper, we review the attenuation theory and the development of high temporal accuracy wave simulation. The conventional mathematical models to describe the characteristics of viscoelastic are based on constant-Q model or standard linear solids theory. However, these approaches possess some noticeable shortcomings. Therefore, we introduce a frequency-dependent complex velocity to derive the novel viscoelastic wave equations with decoupled amplitude dissipation and phase dispersion. To obtain high temporal accuracy viscoelastic wave simulation, we adopt the normalized pseudo-Laplacian to compensate for the temporal dispersion errors caused by the second-order finite-difference discretization in the time domain. During the implementation, we incorporate the normalized pseudo-Laplacian into the optimized staggered-grid finite-difference coefficients. Therefore, it can greatly reduce the times of low-rank decomposition and Fourier transform and largely improve the computational efficiency. Based on this strategy, we can implement the high temporal accuracy viscoelastic wavefield extrapolation by comprehensively exploiting the staggered-grid finite-difference scheme, pseudo-spectral method and low-rank decomposition algorithm. Meanwhile, a linear velocity model is employed to evaluate the accuracy of low-rank approximation. Furthermore, we use several numerical examples to carry out the comparison between our scheme and other conventional methods. The numerical results reveal that our proposed scheme can effectively compensate for temporal dispersion errors and help generate high temporal accuracy viscoelastic wave solutions.
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Acknowledgements
This research is supported by the National Natural Science Foundation of China (NSFC) under contract numbers 41874144 and 41474110 and the Research Foundation of China University of Petroleum-Beijing at Karamay under contract number RCYJ2018A-01-001. Y. Zhang is financially supported by the China Scholarship Council.
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Appendices
Appendix A. Phase velocity analysis in isotropic media
Substituting plane wave into viscoelastic wave equations can generate the Christoffel equation in attenuative media. This equation is widely used in phase velocity analysis. First, the displacement of a harmonic plane wave in attenuative media can be written as:
where \({\tilde{\mathbf{U}}}\) denotes the polarization vector, \({\tilde{\mathbf{k}}} = {\mathbf{k}}_{R} - i{\mathbf{k}}_{I}\) is the wave vector that becomes complex in the presence of attenuation, \({\mathbf{k}}_{R}\) is the real part of wavenumber and \({\mathbf{k}}_{I}\) is the imaginary part of the wave vector. Substituting the plane wave of Eq. (49) into viscoelastic equations, we can obtain the corresponding Christoffel equation as follows:
where \({\mathbf{G}}\) is the complex Christoffel matrix and \({\mathbf{I}}\) is the identity matrix.
1.1 SH-Wave Phase Velocity Analysis
For the wave vector of SH-wave, the Christoffel equation has the following form (\(\tilde{k} = \left| {{\tilde{\mathbf{k}}}} \right|\)):
Substituting the complex stiffness coefficients \(\tilde{c}_{ij} { = }c_{ij}^{R} + {{i}}c_{ij}^{I}\) into Eq. (51) yields
In weakly attenuative media, we have
Because of the truncated TE of \(\left| {{\omega \mathord{\left/ {\vphantom {\omega {\omega_{0} }}} \right. \kern-0pt} {\omega_{0} }}} \right|^{2\gamma } \approx 1{ + }2\gamma \ln \left| {{\omega \mathord{\left/ {\vphantom {\omega {\omega_{0} }}} \right. \kern-0pt} {\omega_{0} }}} \right|\), the complex moduli are rewritten in the forms
After some simplifications, the imaginary part of Eq. (52) can be formulated as (assume \(\text{sgn} \left( \omega \right) = - 1\)):
The only physically meaningful solution of equation is given by
The real part of Eq. (52) then reduces to
The phase velocity of SH-waves is found as
1.2 P- and SV-Wave Phase Velocity Analysis
For P- and SV-waves, the Christoffel equation can be written as
On the basis of \(\tilde{c}_{ij} { = }c_{ij}^{R} + {{i}}c_{ij}^{I}\) and \({{c_{M,\mu }^{R} } \mathord{\left/ {\vphantom {{c_{M,\mu }^{R} } {c_{M,\mu }^{I} }}} \right. \kern-0pt} {c_{M,\mu }^{I} }}{ = }Q_{P,S} \left( {1{ + }\frac{2}{{\pi Q_{P,S} }}\ln \left| {\frac{\omega }{{\omega_{0} }}} \right|} \right) \approx Q_{P,S} \left| {\frac{\omega }{{\omega_{0} }}} \right|^{{2\gamma_{P,S} }}\), Eq. (60) can be reformulated as
where
The physically meaningful solution of the imaginary part of Eq. (61) is \(\mathcal{K}_{2} { = 0}\), which then yields
After some mathematical manipulations, the real part of Eq. (61) is simplified as follows:
Solving Eq. (64) can obtain the phase velocities in the following form
Based on Eqs. (59) and (65), we can theoretically calculate the P- and S-wave phase velocities.
1.3 Accuracy analysis for
Inserting \(\omega \approx \left| {\mathbf{k}} \right|v_{P0,S0}\) into Eq. (65) produces
Therefore, we can use Eq. (66) to evaluate the accuracy of real phase velocity after adopting the approximation of \(\omega \approx \left| {\mathbf{k}} \right|v_{P0,S0}\). To evaluate quantitatively the accuracy of phase velocity, the relative error is defined as follows:
where RX is the accurate solution and RY is the approximate value.
Based on Eqs. (65) and (66), we calculate the accurate and approximate phase velocities. Figure 11 describes the phase velocity variations with reference velocities, wavenumbers and quality factors. It can be seen that even in a strongly attenuative media (\(Q = 10\)), the phase velocity relative errors are as small as 0.0041. Based on the above analysis, we can conclude that the approximation of \(\omega \approx \left| {\mathbf{k}} \right|v_{P0,S0}\) has a very small influence on phase velocity. Therefore, introducing this approximation to solve viscoelastic wave equations is reasonable.
Appendix B. Phase Velocity Analysis in Anisotropic Media
In this section, we perform SH-, SV- and P-waves phase velocity analysis in VTI attenuative media.
2.1 SH-Wave Phase Velocity Analysis
Based on the complex modulus expression in anisotropic attenuative media (Eq. 41), the real and imaginary stiffness coefficients can be written as (assume \(\text{sgn} \left( \omega \right) = - 1\))
Substituting Eqs. (68) and (69) into Eq. (52), we can derive the following real and imaginary parts, respectively.
Substituting the relationship \(c_{66} = c_{55} \left( {1 + 2\gamma } \right)\) into Eq. (71) and making some simplifications produce
where
The physically meaningful solution of Eq. (72) is
Then, the real part can be simplified as
The phase velocity of SH-wave can be calculated by
where
and
For weakly attenuative media, \(\xi_{Q} \approx 1 { + }\frac{1}{{2\left( {Q_{55} \alpha } \right)^{2} }}.\)
2.2 P- and SV-Wave Phase Velocity Analysis
In VTI attenuative media, Eq. (60) has the following form
Combining Eqs. (68) and (69), Eq. (79) can be simplified as follows:
where
To make Eq. (80) meaningful, we set \(\mathcal{K}_{2}^{ij} { = 0}\), which yields
For weak attenuation (\(k_{R} \gg k_{I}\)), thus we have
Therefore, Eq. (80) can be simplified as follows:
Solving Eq. (84) can obtain the P- or SV-wave phase velocity in VTI attenuative media:
Appendix C. Accuracy Analysis for Incorporating Normalized Pseudo-Laplacian into Optimized SGFD Coefficients
To efficiently solve the new high temporal accuracy viscoelastic wave equations, a critical technology of incorporating normalized pseudo-Laplacian into optimized SGFD coefficients has been proposed. To investigate the accuracy of this operation, we compare the difference between \(\sqrt {\hat{F}\left( {\mathbf{k}} \right)} \sum\nolimits_{m = 1}^{M} {c_{m} \sin \left[ {\left( {m - 0.5} \right)kh} \right]}\) and \(\sum\nolimits_{m = 1}^{M} {c^{\prime}_{m} \sin \left[ {\left( {m - 0.5} \right)kh} \right]}\) with a simple linear velocity model. \(c_{m}\) and \(c^{\prime}_{m}\) stand for the conventional and optimized SGFD coefficients, respectively, computed by Eqs. (28) and (29) through minimizing the square error between the left- and right-hand sides.
First, the velocity and wavenumber are formulated as:
where x is the grid number and N is the grid length. Figure 12 plots some results of \(\sqrt {\hat{F}\left( {\mathbf{k}} \right)} \sum\nolimits_{m = 1}^{M} {c_{m} \sin \left[ {\left( {m - 0.5} \right)kh} \right]}\), \(\sum\nolimits_{m = 1}^{M} {c^{\prime}_{m} \sin \left[ {\left( {m - 0.5} \right)kh} \right]}\) and their differences with different time steps. For a small time step, the differences between two expressions are very small. With the increase in time step, the absolute errors are also growing (Fig. 12a–d). To avoid numerical instability, the spatial interval usually should increase with the time step. Using a large spatial spacing, the approximation errors may decrease a lot (Fig. 12d–f). Overall, the maximal error is relatively small and can be accepted during the computation.
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Zhang, Y., Liu, Y. & Xu, S. Viscoelastic Wave Simulation with High Temporal Accuracy Using Frequency-Dependent Complex Velocity. Surv Geophys 42, 97–132 (2021). https://doi.org/10.1007/s10712-020-09607-3
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DOI: https://doi.org/10.1007/s10712-020-09607-3