首页> 外文期刊>Geophysics: Journal of the Society of Exploration Geophysicists >Prestack time migration of nonplanar data: Improving topography prestack time migration with dip-angle domain stationary-phase filtering and effective velocity inversion
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Prestack time migration of nonplanar data: Improving topography prestack time migration with dip-angle domain stationary-phase filtering and effective velocity inversion

机译:Prestack时间迁移非平面数据:提高倾角域静止相位滤波和有效速度反转的地形预先迁移

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摘要

We have developed a modified prestack time migration (PSTM) approach that can directly image nonplanar data by using two effective velocity parameters above and below a datum. The proposed extension improves the so-called topography PSTM by introducing a dip-angle domain stationary-phase migration (or filtering) and combining effective velocity inversion with the residual static corrections. The stationary-phase migration to constrain the imaging aperture within Fresnel zones significantly improves the signal-to-noise ratio (S/N) of the image gathers, especially in the presence of steeply dipping structures. This helps to extract an accurate residual moveout from the common shot and receiver image gathers, and the surface-consistent residual statics hidden in these image gathers can be simultaneously obtained from an inversion process. As a result, the final migrated images show higher S/N and are better focused than the conventional topography PSTM. The proposed technique can handle rugged topography, especially in the presence of high near-surface velocities, without the need for prior elevation static corrections. The SEG foothills overthrust model and a real data set acquired on a piedmont zone are used to validate the modified topography PSTM. Synthetic and field data examples are obtained with good results.
机译:我们开发了一种改进的预先定时迁移(PSTM)方法,可以通过使用基准之上和下方的两个有效的速度参数直接图像非平面数据。通过引入倾角域静止相迁移(或过滤)并将有效速度反转与残余静态校正组合来改善所谓的地形PSTM。在菲涅耳区域内限制成像孔的静止相迁移显着提高了图像褶皱的信噪比(S / N),尤其是在陡峭浸渍结构的情况下。这有助于从公共拍摄和接收器图像聚集中提取精确的剩余移位,并且可以从反转过程中同时地获得这些图像聚集在这些图像聚集中的表面一致的残余静态。结果,最终迁移的图像显示出更高的S / N,并且比传统地形PSTM更好地聚焦。所提出的技术可以处理坚固的形貌,特别是在高近表面速度存在下,而不需要先前的静态静态校正。 SEG山麓超支模型和在Piedmont区域中获取的真实数据集用于验证修改的地形PSTM。用良好的结果获得合成和现场数据示例。

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