A Wave-field Decomposition for Reverse Time Migration to Reduce the Low-wavenumber Artifact

Fei Lei, Xinrong Mao, Jin Liu, Yuanguo Zhou
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引用次数: 0

Abstract

Reverse time migration (RTM) is a powerful tool for reconstructing images, and has great advantage in imaging complex velocity models. However, traditional cross-correlation imaging condition brings low-wavenumber artifact (LWA). In this paper, we present a wave-field decomposition method to reduce these high-amplitude noises and achieve better imaging results.The main procedures include decompose source and receiver wave fields into up-going and down-going wave components, then a cross-correlation imaging condition are adopted to image the wave fields respectively. Several numerical examples indicate that the proposed method can effectively suppress LWA and obtain high-quality reconstructed images.
一种用于逆时偏移的波场分解方法以减少低波数伪影
逆时偏移(RTM)是一种强大的图像重建工具,在复杂速度模型成像中具有很大的优势。然而,传统的互相关成像条件会带来低波数伪影(LWA)。在本文中,我们提出了一种波场分解方法来降低这些高振幅噪声,从而获得更好的成像效果。主要步骤是将源波场和接收波场分解为上行波场和下行波场,然后采用互相关成像条件分别对波场进行成像。数值算例表明,该方法能有效抑制LWA,获得高质量的重构图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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