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Marchenko imaging based on self-adaptive traveltime updating
Applied Geophysics ( IF 0.7 ) Pub Date : 2020-07-15 , DOI: 10.1007/s11770-019-0796-8
Xiao-Chun Chen , Ye-Zheng Hu , Xu-Ri Huang , Hou-Zhu Zhang , Wei-Ping Cao , Yun-Gui Xu , Jing Tang

Marchenko imaging obtains the subsurface reflectors using one-way Green’s functions, which are retrieved by solving the Marchenko equation. This method generates an image that is free of spurious artifacts due to internal multiples. The Marchenko imaging method is a target-oriented technique; thus, it can image a user specified area. In the traditional Marchenko method, an accurate velocity model is critical for estimating direct waves from imaging points to the surface. An error in the velocity model results in the inaccurate estimation of direct waves. In turn, this leads to errors in computation of one-way Green’s functions, which then affects the final Marchenko images. To solve this problem, in this paper, we propose a self-adaptive traveltime updating technique based on the principle of equal traveltime to improve the Marchenko imaging method. The proposed method calculates the time shift of direct waves caused by the error in the velocity model, and corrects the wrong direct wave according to the time shift and reconstructs the correct Green’s functions. The proposed method improves the results of imaging using an inaccurate velocity model. By comparing the results from traditional Marchenko and the new method using synthetic data experiments, we demonstrated that the adaptive traveltime updating Marchenko imaging method could restore the image of geological structures to their true positions.

中文翻译:

基于自适应行程时间更新的Marchenko成像

Marchenko成像使用单向Green函数获得地下反射器,这些函数通过求解Marchenko方程进行检索。此方法生成的图像没有由于内部倍数造成的伪像。Marchenko成像方法是一种面向目标的技术。因此,它可以对用户指定的区域成像。在传统的Marchenko方法中,准确的速度模型对于估算从成像点到表面的直接波至关重要。速度模型中的错误会导致对直接波的估计不准确。反过来,这会导致单向格林函数的计算错误,进而影响最终的马尔琴科图像。为了解决这个问题,在本文中,我们提出了一种基于等时旅行原理的自适应旅行时间更新技术,以改进Marchenko成像方法。该方法计算了速度模型中由于误差引起的直达波的时移,并根据该时移校正了错误的直达波,并重建了正确的格林函数。所提出的方法改善了使用不准确速度模型的成像结果。通过将传统马尔琴科的结果与使用合成数据实验的新方法进行比较,我们证明了自适应行进时间更新马尔琴科成像方法可以将地质结构的图像恢复到其真实位置。并根据时移校正错误的直达波,并重建正确的格林函数。所提出的方法改进了使用不准确速度模型的成像结果。通过将传统马尔琴科的结果与使用合成数据实验的新方法进行比较,我们证明了自适应行进时间更新马尔琴科成像方法可以将地质结构的图像恢复到其真实位置。并根据时移校正错误的直达波,并重建正确的格林函数。所提出的方法改善了使用不准确速度模型的成像结果。通过将传统马尔琴科的结果与使用合成数据实验的新方法进行比较,我们证明了自适应行进时间更新马尔琴科成像方法可以将地质结构的图像恢复到其真实位置。
更新日期:2020-07-15
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