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Wavefield-separation methods for dual-sensor towed-streamer data

机译:双传感器拖缆数据的波场分离方法

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A dual-sensor towed streamer records the pressure and vertical component of particle motion associated with the incident wavefield that may be used to separate the wavefield into its upand downgoing parts. This procedure requires information about the water properties (wave-propagation velocity and density) and is robust in the presence of errors in the estimation of these quantities of the magnitude likely to be encountered. In practice, the particle motion data recorded by current towed marine streamers encounter very strong mechanical noise such that, for the lowest frequencies, the wavefield separation must be approximated by deconvolving the ghost function from the pressure data. This procedure requires information about the streamer depth and is robust to small depth errors over the frequency range for which it is required for dual-sensor streamer processing, but it is much more sensitive if applied over the bandwidth necessary to deghost pressure data acquired at a conventional streamer depth. The signal-to-noise ratio can be further enhanced by recombining the up-and downgoing pressure fields at the sea surface, which has the effect of applying a ghostlike filter to noise that is recorded by only one of the two sensors. In practical marine acquisition scenarios, spatial sampling is often insufficient to yield an accurate result, especially in the crossline direction. If each streamer is processed independently assuming that the wavefield propagation is purely inline, significant errors can be introduced. For arrivals with high emergent angles, errors may also be introduced even if the wavefield propagation actually is purely inline due to incorrect treatment of spatially aliased energy. However, these effects are almost entirely confined to very shallow events. They can be mitigated by using independently derived information about the crossline propagation angle and, for data comprising predominantly forward scattered energy, appropriate application of linear moveout.
机译:双传感器拖曳拖缆可记录与入射波场相关的粒子运动的压力和垂直分量,可用于将波场分为上下部分。该程序需要有关水的性质(传播速度和密度)的信息,并且在估计可能遇到的这些数量的量时存在误差时具有鲁棒性。实际上,由当前拖曳的海上拖缆记录的粒子运动数据会遇到非常强的机械噪声,因此,对于最低频率,必须通过将幻影函数从压力数据中解卷积来近似波场分离。此过程需要有关拖缆深度的信息,并且在双传感器拖缆处理所需的频率范围内对较小的深度误差具有鲁棒性,但如果应用到在一定程度上获取反重力压力数据所需的带宽,则它会更加敏感。常规拖缆深度。通过重新组合海面上的向上和向下的压力场,可以进一步提高信噪比,这具有将重影滤波器应用于仅由两个传感器之一记录的噪声的效果。在实际的海洋采集方案中,空间采样通常不足以产生准确的结果,尤其是在交叉线方向上。如果假设波场传播纯粹是线性的,对每个拖缆进行独立处理,则可能会引入重大误差。对于具有高出射角的到达,即使波场传播实际上是纯粹内联的,由于对空间混叠能量的不正确处理,也可能会引入误差。但是,这些影响几乎完全限于非常浅的事件。可以通过使用有关交叉线传播角度的独立导出信息来缓解这些问题,对于主要包含正向散射能量的数据,可以适当应用线性运动。

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