用有限差分法计算倾斜横向各向同性介质中的高效纯 qP 波建模和反向时间迁移

GEOPHYSICS Pub Date : 2024-07-05 DOI:10.1190/geo2023-0631.1
Qiang Mao, Jianping Huang, Xinru Mu, Yujian Zhang
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引用次数: 0

摘要

地表下各向异性通常由页岩层、排列整齐的裂缝和细密的垫层引起,对地震波的传播有重大影响。在地震波迁移过程中忽略各向异性效应会降低成像质量。因此,我们推导了一个高精度的纯 qP 波方程,用于模拟地震波在倾斜横向各向同性(TTI)介质中的传播。然而,推导出的纯 qP 波方程需要使用计算昂贵的基于光谱的方法进行数值模拟。这不适合大规模工业应用,尤其是三维应用。为了提高数值效率,我们首先将新导出的波方程分解为一些分数微分算子和空间导数。空间导数可通过传统的有限差分(FD)方法直接求解。然后,我们采用渐近近似法找到分数微分算子的等效形式,得到标量算子,再用有限差分法离散化。数值测试表明,所提出的 TTI 纯 qP 波方程与 FD 离散化方法可以在 TTI 介质中产生精确、高效的波场模拟。我们还将拟议的 TTI 纯 qP 波方程与 FD 离散化方法用作前向引擎,以实现 TTI 反向时间迁移(RTM)。合成示例和现场数据测试证明,所提出的 TTI RTM 能有效校正各向异性效应,在保持良好计算效率的同时提供高质量的成像结果。
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Efficient pure qP-wave modeling and reverse time migration in tilted transversely isotropic media calculated by a finite-difference approach
Subsurface anisotropy is commonly induced by shale layers, aligned cracks and fine bedding, and has a significant impact on seismic wave propagation. Ignoring anisotropic effects during seismic migration will degrade image quality. Therefore, we derive a pure qP-wave equation with high accuracy for modeling seismic wave propagation in tilted transversely isotropic (TTI) media. However, the derived pure qP-wave equation requires a computationally expensive spectral-based method for performing numerical simulations. This is unsuitable for large-scale industrial applications, particularly three-dimension applications. For numerical efficiency, we first decompose the newly derived wave equation into some fractional differential operators and spatial derivatives. The spatial derivatives can be directly solved by conventional finite-difference (FD) approaches. Then, we employ an asymptotic approximation to find an equivalent form of fractional differential operators, obtaining scalar operators that we can discretize with the FD method. Numerical tests show that the proposed TTI pure qP-wave equation with an FD discretization can produce accurate and highly efficient wavefield simulations in TTI media. We also use the proposed TTI pure qP-wave equation with an FD discretization as a forward engine to implement TTI reverse time migration (RTM). Synthetic examples and a field data test demonstrate that the proposed TTI RTM can effectively correct the anisotropic effects, providing high-quality imaging results while maintaining good computational efficiency.
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