Least-squares reverse time migration: Inversion-based imaging toward true reflectivity
Least-squares reverse time migration: Inversion-based imaging toward true reflectivity
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DOI：
10.1190/tle33090962.1
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发表时间：
2014-09
期刊：
影响因子：
3.3
通讯作者：
C. Zeng;S. Dong;Bin Wang
中科院分区：
文献类型：
--
作者：
C. Zeng;S. Dong;Bin Wang
摘要 作为一种基于反演的成像算法，最小二乘逆时偏移（LSRTM）将地震图像细化为真实反射率地球模型。它克服了传统偏移算法的缺点，通过迭代最小二乘反演逐步纠正偏移误差。 LSRTM 还抑制图像小波的旁瓣以生成具有高空间分辨率的图像。在平衡照明的迭代过程中，恢复的弱事件和陡峭的下降得到增强。 LSRTM 的真实振幅行为将极大地有利于定量地震解释。 LSRTM 是一种实用的图像域宽带解决方案，可生成具有精细层和精确复杂结构的高分辨率图像。
Abstract As an inversion-based imaging algorithm, least-squares reverse time migration (LSRTM) refines seismic images toward true-reflectivity earth models. It overcomes the shortcomings of conventional migration algorithms via iterative least-squares inversion to gradually correct migration errors. LSRTM also suppresses side lobes of image wavelets to generate images with high spatial resolution. Recovered weak events and steep dips are enhanced during iterations with balanced illumination. The true-amplitude behavior of LSRTM will greatly benefit quantitative seismic interpretations. LSRTM can be a practical image-domain broadband solution to generate high-resolution images with fine layers as well as accurate complex structures.