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Modeling the seismic wave equation using a staggered grid finite-difference method optimized with a genetic algorithm.

Vanga M, Ojha M.

JOURNAL OF SEISMIC EXPLORATION

https://doi.org/10.36922/JSE025290035 

This study improves seismic wave simulations by reducing numerical dispersion using a genetic algorithm-optimized staggered grid finite-difference (SGFD) method. The optimized SGFD coefficients significantly enhance accuracy and stability across both homogeneous and heterogeneous models, even with lower-order approximations. The approach maintains high precision while lowering computational cost, demonstrating an efficient and reliable solution for high-resolution subsurface seismic imaging. This makes seismic modeling more reliable and faster to produce high-resolution images of the Earth's interior.

Fig: Acoustic wave simulations in the BP salt-dome model. Reference wavefield, conventional, and new genetic algorithm-based method and new GA-based method with varying FD coefficients optimized for a range of velocities.

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