Imaging of multiple reflections
Imaging of multiple reflections
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DOI：
10.1190/1.2215359
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发表时间：
2006-08
期刊：
影响因子：
3.3
通讯作者：
A. Berkhout;D. Verschuur
中科院分区：
文献类型：
--
作者：
A. Berkhout;D. Verschuur
目前地震处理中的多次波消除算法要么使用差分时差，要么使用可预测性。如果一次波和多次波之间的时差差很小，则预测是唯一可用的选择。在过去的十年中，多维预测误差滤波加权卷积，如表面相关多次消除（SRME），已被证明是非常成功的实践。到目前为止，多次波一直被认为是噪声，并在去除过程后被丢弃。在本文中，我们认为，多次反射包含了丰富的信息，可用于地震处理，以提高分辨率的储层图像超出目前的能力。在不久的将来，人们可能会期望，所谓的加权互相关（WCC）的概念可能会提供一个有吸引力的替代方案，在处理多重问题。WCC创建了一个选项，以避免在预测误差算法中应用的自适应减法过程。此外，它允许将倍数转换为原色。后者意味着具有一次波和多次波的地震成像（非线性过程）可以通过一系列线性过程来实现，包括多次波到一次波的转换和一次波的成像。
Current multiple-removal algorithms in seismic processing use either differential moveout or predictability. If the differential moveout between primaries and multiples is small, prediction is the only option available. In the last decade, multidimensional prediction-error filtering by weighted convolution, such as surface-related multiple elimination (SRME), have proved to be very successful in practice. So far, multiples have been considered as noise and have been discarded after the removal process. In this paper, we argue that multiple reflections contain a wealth of information that can be used in seismic processing to improve the resolution of reservoir images beyond current capability. In the near future, one may expect that the so-called weighted-crosscorrelation (WCC) concept may offer an attractive alternative in approaching the multiple problem. WCC creates an option to avoid the adaptive subtraction process as applied in prediction-error algorithms. Moreover, it allows the transformation of multiples into primaries. The latter means that seismic imaging with primaries and multiples (nonlinear process) can be implemented by a sequence of linear processes, including the transformation of multiples into primaries and the imaging of primaries.