Seismic image registration is crucial for the joint interpretation of multivintage seismic images in time-lapse reservoir monitoring. Time-shift analysis is a commonly used method to estimate the warping function by creating a time-shift map, where the energy of each time-shift point in the 3D map indicates the probability of a correct registration. We have adopted a new method to obtain a high-resolution time-shift analysis spectrum, which can help with manual and automatic picking. The time-shift scan map is obtained by trying different local shifts and calculating the local similarity attributes between the shifted and reference images. We adopt a high-resolution calculation of the time-shift scan map by applying the nonstationary model constraint in solving the local similarity attributes. The nonstationary model constraint ensures the time-shift scan map to be smooth in all physical dimensions, for example, time, local shift, and space. In addition, it permits variable smoothing strength across the whole volume, which enables the high resolution of the calculated time-shift scan map. We use an automatic-picking algorithm to demonstrate the accuracy of the high-resolution time-shift scan map and its positive influence on the time-lapse image registration. Synthetic (2D) and real (3D) time-lapse seismic images are used for demonstrating the better registration performance of the proposed method.

中文翻译：

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通过高分辨率时移扫描进行延时图像配准

地震图像配准对于延时储层监测中多年份地震图像的联合解释至关重要。时移分析是通过创建时移图来估算变形函数的常用方法，其中3D图中每个时移点的能量表示正确配准的概率。我们采用了一种新方法来获取高分辨率时移分析光谱，该光谱可以帮助进行手动和自动拾取。时移扫描图是通过尝试不同的局部偏移并计算已偏移图像和参考图像之间的局部相似性属性而获得的。通过应用非平稳模型约束来解决局部相似性属性，我们采用了时移扫描图的高分辨率计算。非平稳模型约束确保时移扫描图在所有物理维度（例如时间，局部移位和空间）上均平滑。另外，它允许在整个体积上具有可变的平滑强度，从而可以实现所计算出的时移扫描图的高分辨率。我们使用自动选取算法来演示高分辨率时移扫描图的准确性及其对延时图像配准的积极影响。合成（2D）和真实（3D）延时地震图像被用来证明所提出的方法具有更好的配准性能。这使得所计算的时移扫描图具有高分辨率。我们使用自动选取算法来演示高分辨率时移扫描图的准确性及其对延时图像配准的积极影响。合成（2D）和真实（3D）延时地震图像被用来证明所提出的方法具有更好的配准性能。这使得所计算的时移扫描图具有高分辨率。我们使用自动选取算法来演示高分辨率时移扫描图的准确性及其对延时图像配准的积极影响。合成（2D）和真实（3D）延时地震图像被用来证明所提出的方法具有更好的配准性能。