基于精确初到行时计算的激励幅值成像条件下的逆时偏移

IF 7.5 1区 地球科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Jing Wang;Qingqing Li;Baoping Qiao;Jinxiang Qi
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引用次数: 0

摘要

逆时偏移(RTM)可以提供高质量的地震图像,是最先进的偏移方法之一。成像条件法是RTM的重要组成部分。在不同的成像条件下,获得图像振幅、物理有效性和分辨率的能力不同。互相关成像条件(CCIC)可以实现复杂结构的高成像精度。然而,这种方法需要存储几乎整个源波场,这需要大量的存储空间,从而降低了RTM的计算效率。相比之下,激发振幅成像条件(EAIC)仅依赖于成像时的波场信息,无需大量存储,从而提高了RTM的计算效率。然而,传统方法通过识别每个网格点处源波场的最大振幅来确定成像时间。在涉及大偏移量或强反射界面的情况下,这种方法可能导致确定成像时间的不准确性。在本文中,我们利用一种先进的自适应有限差分算子方法来求解确定成像时间的eikonal方程。这种方法显著提高了近偏移处首次到达旅行时间计算的准确性,这对地震成像尤其重要。简单模型、Marmousi模型和现场地震资料的数值算例证明了本文方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reverse Time Migration Using Excitation Amplitude Imaging Condition Based on Accurate First-Arrival Traveltimes Calculation
Reverse time migration (RTM) can provide high-quality seismic images and is one of the most advanced migration methods. The imaging condition method is a crucial component of RTM. Different imaging conditions show different abilities to obtain image amplitude, physical validity, and resolution. The cross correlation imaging condition (CCIC) can achieve high imaging accuracy for complex structures. Nevertheless, this approach necessitates the storage of almost the entire source wavefields, which demands a substantial amount of storage space and consequently reduces the computational efficiency of RTM. In contrast, the excitation amplitude imaging condition (EAIC), which relies solely on wavefield information at the imaging time, eliminates the necessity for extensive storage, thereby enhancing the computational efficiency of RTM. However, conventional methods determine the imaging time by identifying the maximum amplitude of the source wavefield at each grid point. In scenarios involving large offsets or strong reflection interfaces, this approach can lead to inaccuracies in determining the imaging time. In this article, we utilize an advanced adaptive finite-difference operator method to solve the eikonal equation for determining imaging time. This approach markedly enhances the accuracy of first-arrival traveltimes calculations at near offsets, which is especially critical for seismic imaging. Numerical examples from the simple model, the Marmousi model, and field seismic data demonstrate the effectiveness of our proposed method.
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来源期刊
IEEE Transactions on Geoscience and Remote Sensing
IEEE Transactions on Geoscience and Remote Sensing 工程技术-地球化学与地球物理
CiteScore
11.50
自引率
28.00%
发文量
1912
审稿时长
4.0 months
期刊介绍: IEEE Transactions on Geoscience and Remote Sensing (TGRS) is a monthly publication that focuses on the theory, concepts, and techniques of science and engineering as applied to sensing the land, oceans, atmosphere, and space; and the processing, interpretation, and dissemination of this information.
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