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Marchenko imaging: Imaging with primaries, internal multiples, and free-surface multiples

机译:Marchenko成像:使用原色,内部倍数和自由表面倍数成像

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摘要

Recent work on retrieving the Green’s function with the Marchenko equation shows how these functions for a virtual source in the subsurface can be obtained from reflection data. The response to the virtual source is the Green’s function from the location of the virtual source to the surface. The Green’s function is retrieved using only the reflection response of the medium and an estimate of the first arrival at the surface from the virtual source. Current techniques, however, only include primaries and internal multiples. Therefore, all surface-related multiples must be removed from the reflection response prior to Green’s function retrieval. We have extended the Marchenko equation to retrieve the Green’s function that includes primaries, internal multiples, and free-surface multiples. In other words, we have retrieved the Green’s function in the presence of a free surface. The information needed for the retrieval is the same as the current techniques, with the only difference being that the reflection response now also includes free-surface multiples. The inclusion of these multiples makes it possible to include them in the imaging operator, and it obviates the need for surface-related multiple elimination. This type of imaging with Green’s functions is called Marchenko imaging.
机译:最近使用Marchenko方程检索Green函数的工作表明,如何从反射数据中获取地下虚拟源的这些函数。对虚拟源的响应是从虚拟源位置到表面的格林函数。仅使用介质的反射响应和虚拟源首次到达地面的估计值即可检索Green函数。但是,当前的技术仅包括基数和内部倍数。因此,在格林函数检索之前,必须从反射响应中删除所有与表面相关的倍数。我们扩展了Marchenko方程,以检索包含基数,内部倍数和自由曲面倍数的格林函数。换句话说,我们在有自由表面的情况下检索了格林函数。检索所需的信息与当前技术相同,唯一的区别是反射响应现在还包括自由曲面倍数。这些倍数的包含使得可以将它们包括在成像算子中,并且消除了与表面相关的倍数消除的需要。具有格林功能的这种成像称为Marchenko成像。

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