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Common-image gathers using the excitation amplitude imaging condition

机译:使用激发振幅成像条件的共像采集

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摘要

Common-image gathers (CIGs) are extensively used in migration velocity analysis. Any defocused events in the subsurface offset domain or equivalently nonflat events in angle-domain CIGs are accounted for revising the migration velocities. However, CIGs from wave-equation methods such as reverse time migration are often expensive to compute, especially in 3D. Using the excitation amplitude imaging condition that simplifies the forward-propagated source wavefield, we have managed to extract extended images for space and time lags in conjunction with prestack reverse time migration. The extended images tend to be cleaner, and the memory cost/disk storage is extensively reduced because we do not need to store the source wavefield. In addition, by avoiding the crosscorrelation calculation, we reduce the computational cost. These features are demonstrated on a linear v(z) model, a two-layer velocity model, and the Marmousi model.
机译:共同图像收集(CIG)被广泛用于迁移速度分析。在地下偏移域中的任何散焦事件或在角域CIG中的等效非平坦事件都被用来修正迁移速度。但是,来自波动方程方法(例如反向时间偏移)的CIG通常计算起来非常昂贵,尤其是在3D中。使用简化了前向传播源波场的激发振幅成像条件,我们已经设法结合叠前反向时间偏移提取了空间和时滞的扩展图像。由于我们不需要存储源波场,因此扩展后的图像倾向于更清晰,并且大大降低了内存成本/磁盘存储量。另外,通过避免互相关计算,我们降低了计算成本。这些特征在线性v(z)模型,两层速度模型和Marmousi模型中得到证明。

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