Velocity-independent Marchenko method in time- and depth-imaging domains

Y. Sripanich, I. Vasconcelos, K. Wapenaar, J. Trampert
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引用次数: 2

Abstract

The Marchenko method represents a constructive technique to obtain Green’s functions between the acquisition surface and any arbitrary point in the medium. The process generally involves solving an inversion starting with a direct-wave Green’s function from the desired subsurface position, which is typically obtained using an approximate velocity model. In this study, we first propose to formulate the Marchenko method in the time-imaging domain. We recognize that the traveltime of the direct-wave Green’s function is related to the Cheop’s traveltime pyramid commonly used in time-domain processing and can be readily obtained from the local slopes of the common-midpoint (CMP) gathers. This observation allows us to substitute the need for a prior velocity model with the data-driven slope estimation process. Moreover, we show that working in the time-imaging domain allows for the specification of the desired subsurface position in terms of vertical time, which is connected to the Cartesian depth position via the timeto-depth conversion. Our results suggest that the prior velocity model is only required when specifying the position in depth but this requirement can be circumvented by making use of the time-imaging domain and its usual assumptions. Provided that those assumptions are satisfied, the estimated Green’s functions from the proposed method have comparable quality to those obtained with the knowledge of a prior velocity model.
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时间和深度成像域的速度无关马尔琴科方法
马尔琴科法是一种构造方法,可以得到采集面与介质中任意一点之间的格林函数。该过程通常涉及从期望的地下位置开始求解直接波格林函数的反演,该函数通常使用近似速度模型获得。在本研究中,我们首次提出了在时间成像域中建立马尔琴科方法。我们认识到直接波格林函数的行时与时域处理中常用的Cheop行时金字塔有关,并且可以很容易地从共中点(CMP)聚集的局部斜率中获得。这一观察结果使我们能够用数据驱动的坡度估计过程代替对先验速度模型的需求。此外,我们表明,在时间成像域中工作可以根据垂直时间指定所需的地下位置,垂直时间通过时间到深度的转换与笛卡尔深度位置相连。我们的研究结果表明,只有在确定深度位置时才需要先验速度模型,但可以通过利用时间成像域及其通常假设来规避这一要求。如果满足这些假设,则该方法估计的格林函数与已知先验速度模型的格林函数具有相当的质量。
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