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Acoustic VTI modeling and pre-stack reverse-time migration based on the time-space domain staggered-grid finite-difference method

机译:基于时空域交错网格有限差分法的声学VTI建模和叠前逆时偏移

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Reverse-time migration (RTM) is based on seismic numerical modeling algorithms, and the accuracy and efficiency of RTM strongly depend on the algorithm used for numerical solution of wave equations. Finite-difference (FD) methods have been widely used to solve the wave equation in seismic numerical modeling and RTM. In this paper, we derive a series of time-space domain staggered-grid FD coefficients for acoustic vertical transversely isotropic (VTI) equations, and adopt these difference coefficients to solve the equations, then analyze the numerical dispersion and stability, and compare the time-space domain staggered-grid FD method with the conventional method. The numerical analysis results demonstrate that the time-space domain staggered-grid FD method has greater accuracy and better stability than the conventional method under the same discretizations. Moreover, we implement the pre-stack acoustic VTI RTM by the conventional and time-space domain high-order staggered-grid FD methods, respectively. The migration results reveal that the time-space domain staggered-grid FD method can provide clearer and more accurate image with little influence on computational efficiency, and the new FD method can adopt a larger time step to reduce the computation time and preserve the imaging accuracy as well in RTM. Meanwhile, when considering the anisotropy in RTM for the VTI model, the imaging quality of the acoustic VTI RTM is better than that of the acoustic isotropic RTM.
机译:逆时偏移(RTM)是基于地震数值建模算法的,而RTM的准确性和效率在很大程度上取决于用于波动方程数值解的算法。有限差分(FD)方法已广泛用于求解地震数值建模和RTM中的波动方程。本文针对声学垂直横观各向同性(VTI)方程推导了一系列时空交错网格FD系数,并利用这些差分系数求解方程,然后分析了数值离散度和稳定性并比较了时间空域交错网格FD方法与常规方法。数值分析结果表明,在相同离散条件下,时空域交错网格FD方法比常规方法具有更高的精度和更好的稳定性。此外,我们分别通过常规和时空域高阶交错网格FD方法实现叠前声学VTI RTM。迁移结果表明,时空域交错网格FD方法可以提供更清晰,更准确的图像,而对计算效率的影响很小,而新的FD方法可以采用较大的时间步长来减少计算时间并保持成像精度。在RTM中也是如此。同时,在考虑VTI模型的RTM中的各向异性时,声学VTI RTM的成像质量要好于声学各向同性RTM的成像质量。

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