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A hybrid explicit implicit staggered grid finite-difference scheme for the first-order acoustic wave equation
Wenquan Liang1, Yanfei Wang2, Jingjie Cao3
1College of Resource Engineering, Longyan University, Longyan, 364000, People's Republic of China.
A new hybrid explicit implicit staggered-grid finite-difference (HEI-SGFD) scheme nearly doubles simulation speed for acoustic wave-equation modeling. This method enhances computational efficiency while maintaining accuracy in wave propagation simulations.
Area of Science:
- Computational Seismology
- Numerical Methods in Geophysics
- Wave Propagation Modeling
Background:
- Implicit staggered-grid finite-difference (SGFD) methods are standard for first-order acoustic wave-equation modeling.
- Current methods often use identical implicit SGFD operators for all spatial derivatives, potentially limiting simulation speed.
Purpose of the Study:
- To introduce a hybrid explicit implicit SGFD (HEI-SGFD) scheme for acoustic wave-equation modeling.
- To enhance simulation speed without compromising accuracy.
- To investigate the effectiveness of the HEI-SGFD scheme through numerical analysis.
Main Methods:
- Developed a hybrid scheme combining second-order explicit SGFD operators for half the spatial derivatives and implicit SGFD operators (with diagonal points) for the other half.
- Determined HEI-SGFD coefficients in the time-space domain by minimizing phase velocity error using least-squares.
- Validated the method through dispersion analysis and numerical simulations.
Main Results:
- The proposed HEI-SGFD scheme achieves nearly double the simulation speed compared to conventional implicit SGFD methods.
- The HEI-SGFD scheme demonstrates equivalence to a second-order finite-difference scheme on an ordinary grid.
- Dispersion analysis and numerical simulations confirm the method's effectiveness and accuracy preservation.
Conclusions:
- The HEI-SGFD scheme offers a significant improvement in computational efficiency for acoustic wave-equation modeling.
- This hybrid approach successfully balances simulation speed and accuracy, providing a valuable alternative for geophysical modeling.
- The method's performance is robust, as evidenced by rigorous numerical testing.
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