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首页> 外文期刊>Journal of Applied Geophysics >3D Prestack Fourier Mixed-Domain (FMD) depth migration for VTI media with large lateral contrasts
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3D Prestack Fourier Mixed-Domain (FMD) depth migration for VTI media with large lateral contrasts

机译:3D Prestack傅里叶混合域(FMD)深度迁移为VTI媒体,具有大的横向对比度

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Although many 3D One-Way Wave-equation Migration (OWEM) methods exist for VTI media, most of them struggle either with the stability, the anisotropic noise or the computational cost. In this paper we present a new method based on a mixed space- and wavenumber-propagator that overcome these issues very effectively as demonstrated by the examples. The pioneering methods of phase-shift (PS) and Stolt migration in the frequency-wavenumber domain designed for laterally homogeneous media have been followed by several extensions for laterally inhomogeneous media. Referred many times to as phase-screen or generalized phase screen methods, such extensions include as main examples of the Split-step Fourier (SSF) and the phase-shift plus interpolation (PSPI). To further refine such phase-screen techniques, we introduce a higher-order extension to SSF valid for a 3D VTI medium with large lateral contrasts in vertical velocity and anisotropy parameters. The method is denoted Fourier Mixed-Domain (FMD) prestack depth migration and can be regarded as a stable explicit algorithm. The FMD technique was tested using the 3D SEG/EAGE salt model and the 2D anisotropic Hess model with good results. Finally, FMD was applied with success to a 3D field data set from the Barents Sea including anisotropy. (C) 2019 The Authors. Published by Elsevier B.V.
机译:虽然VTI媒体存在许多3D单向波动方程迁移(OWEM)方法,但大多数人都以稳定性,各向异性噪声或计算成本斗争。在本文中,我们提出了一种基于混合空间和波数传播器的新方法,其非常有效地克服这些问题,如实施例所示。在为横向均匀介质设计用于横向均匀介质的频率 - 波数域中的相移(PS)和Stolt迁移的先驱方法已经进行了几个用于横向不均匀介质的延伸部。将多次提及到相位屏幕或广义阶段方法,这种扩展包括作为分离步骤傅立叶(SSF)的主要示例和相移加插值(PSPI)。为了进一步优化这种相屏技术,我们向SSF引入高阶扩展到SSF,对于具有垂直速度和各向异性参数的大横向对比的3D VTI介质有效。该方法表示傅立叶混合域(FMD)Prestack深度迁移,并且可以被视为稳定的显式算法。使用3D SEG / EAGE盐模型和2D各向异性HESS模型测试FMD技术,结果良好。最后,FMD取得了成功的成功,到包括来自包括各向异性的巴伦海域的3D场数据。 (c)2019年作者。 elsevier b.v出版。

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