We have developed a novel application of dynamic time warping (DTW) for correcting residual moveout in image gathers, enhancing seismic images, and determining azimuthal anisotropic orientation and relative intensity when moveout is caused by wave propagation through a medium possessing elliptical horizontally transverse isotropy (HTI). The method functions by first using DTW to determine the sequences of integer shifts that most closely match seismic traces within an image gather to its stack and then applying those shifts to flatten the gather. Flattening shifts are fitted to an ellipse to provide an approximation for the orientation and relative strength of elliptical HTI anisotropy. We evaluated the method on synthetic and 3D field data examples to show how it is able to (1) correct for residual azimuthal anisotropic moveout, (2) accurately recover high-frequency information and improve feature resolution in seismic images, and (3) determine the anisotropic orientation while providing a measure of relative strength of elliptic anisotropy. Although the method is not intended to replace anisotropic processing techniques for moveout correction, we find that it has the ability to inexpensively approximate the effects of such operations while providing a representation of the elliptic HTI anisotropy present within a volume.

中文翻译：

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使用动态时间扭曲对图像集中的残余方位各向异性各向异性进行量化和校正

我们已经开发了一种动态时间扭曲（DTW）的新应用，用于校正图像集中的残余偏移，增强地震图像以及确定当偏移是通过波传播通过具有椭圆水平横向各向同性（HTI）的介质引起的方位各向异性方向和相对强度）。该方法通过首先使用DTW来确定最接近图像集内地震迹线与其堆栈的整数位移序列，然后应用这些位移来平整集聚而起作用。扁平化位移适合椭圆，以提供椭圆HTI各向异性的方向和相对强度的近似值。我们在合成和3D野外数据示例中评估了该方法，以显示该方法如何（1）校正残余方位各向异性各向异性，（2）准确地恢复高频信息并提高地震图像中的特征分辨率，（3）确定各向异性的方向，同时提供椭圆各向异性的相对强度的度量。尽管该方法并非旨在替代各向异性处理技术以进行时差校正，但我们发现它能够廉价地近似估算此类操作的效果，同时提供了体积中存在的椭圆形HTI各向异性的表示。