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Petroleum Science > DOI: https://doi.org/10.1016/j.petsci.2024.10.004
A high-efficiency Q-compensated pure-viscoacoustic reverse time migration for tilted transversely isotropic media Open Access
文章信息
作者:Qiang Mao, Jianping Huang, Xinru Mu, Yujian Zhang
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引用方式:Qiang Mao, Jianping Huang, Xinru Mu, Yujian Zhang, A high-efficiency Q-compensated pure-viscoacoustic reverse time migration for tilted transversely isotropic media, Petroleum Science, 2024, https://doi.org/10.1016/j.petsci.2024.10.004.
文章摘要
Abstract: The attenuation and anisotropy characteristics of real earth media give rise to amplitude loss and phase dispersion during seismic wave propagation. To address these effects on seismic imaging, viscoacoustic anisotropic wave equations expressed by the fractional Laplacian have been derived. However, the huge computational expense associated with multiple Fast Fourier transforms for solving these wave equations makes them unsuitable for industrial applications, especially in three dimensions. Therefore, we first derived a cost-effective pure-viscoacoustic wave equation expressed by the memory-variable in tilted transversely isotropic (TTI) media, based on the standard linear solid model. The newly derived wave equation featuring decoupled amplitude dissipation and phase dispersion terms, can be easily solved using the finite-difference method (FDM). Computational efficiency analyses demonstrate that wavefields simulated by our newly derived wave equation are more efficient compared to the previous pure-viscoacoustic TTI wave equations. The decoupling characteristics of the phase dispersion and amplitude dissipation of the proposed wave equation are illustrated in numerical tests. Additionally, we extend the newly derived wave equation to implement Q-compensated reverse time migration (RTM) in attenuating TTI media. Synthetic examples and field data test demonstrate that the proposed Q-compensated TTI RTM effectively migrate the effects of anisotropy and attenuation, providing high-quality imaging results.
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Keywords: Anisotropy; Attenuation; FD modeling; Reverse-time migration