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Green's theorem based onshore preprocessing - a reduced data requirement assuming a vacuum/earth model for the air/earth interface and the evaluation of the usefulness of that assumption

机译:基于格林的定理基于陆上预处理 - 假设空气/地球界面的真空/地球模型以及评估该假设的有用性的降低的数据要求

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The elastic Green's theorem wave separation method can effectively reduce ground roll and ghosts in land data, and most importantly, without harming reflection data. Both tractions and multicomponent displacements are assumed in the original elastic Green's theorem method (Wu and Weglein, 2015a). However, it is not easy to measure tractions directly. In order to reduce the requirement of traction, this paper simplifies the algorithm assuming that the acquisition is on a vacuum/earth surface. The new formula requires the traction at only the source point rather than all the points along the measurement surface. The reason is that traction is zero everywhere except the place where the source is located. Synthetic tests show: (1) successful processing results for data that are generated assuming a vacuum/earth boundary, and (2) very useful results when the data are generated from a more realistic air/earth model.
机译:弹性绿色的定理波分离方法可以有效地减少土地数据中的地面辊和鬼魂,最重要的是,而不会损坏反射数据。在原始弹性绿色的定理方法(Wu和Weglein,2015a)中,假设牵引和多组分位移都是假设的。但是,直接测量牵引力并不容易。为了降低牵引的要求,本文简化了采集位于真空/地球表面上的算法。新的公式只需要源点而不是沿着测量表面的所有点的牵引力。原因是除了源位的地方,牵引为零。合成试验显示:(1)假设真空/地球边界的数据生成的数据成功处理结果,并且(2)当数据从更现实的空气/地球模型产生时非常有用的结果。

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