Multicomponent prestack depth migration by scalar wavefield extrapolation
Multicomponent prestack depth migration by scalar wavefield extrapolation
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DOI：
10.1190/1.1527088
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发表时间：
2002-11
期刊：
影响因子：
3.3
通讯作者：
A. Hou;K. Marfurt
中科院分区：
文献类型：
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作者：
A. Hou;K. Marfurt
在传统标量波动方程偏移的基础上，提出了一种新的多分量叠前深度偏移方法。我们没有将数据分离为PP波和PS波;相反，我们使用P和S传播速度迁移数据的每个x、y和z分量，然后在深度域进行极化滤波。通过在深度域中生成中间图像，我们可以解释所有倾角的PS反射的极性反转。由于偏振角是根据数据计算的，因此可以直接将各向异性效应（准P和准S）纳入到多分量偏移中。合成实例中的多分量偏移结果表明，即使对于单炮道集，我们也可以获得复杂结构上清晰的PP波和PS波图像，并解决PS波极性反转问题。
We present a new multicomponent prestack depth migration methodology based on successive application of conventional scalar wave equation migration. We do not separate the data into PP‐ and PS‐waves; rather, we migrate each x‐, y‐, and z‐component of the data using both P and S propagation velocities, followed by polarization filtering in the depth domain. By generating intermediate images in the depth domain, we can account for polarity reversals of the PS reflection for all dips. Since the polarization angles are calculated from the data, it is straightforward to accommodate anisotropic effects (quasi‐P and quasi‐S) into multicomponent migration.The multicomponent migration results in our synthetic examples demonstrate that even for a single shot gather, we can obtain clean PP‐ and PS‐wave images over complex structures and resolve the problem of PS‐wave polarity reversals.