An Adaptive Demultiple Method Based on Inversion of Two-Dimensional Nonstationary Filter

P. Zhao, H. Zhao, H. Li, S. He, G. Li
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Abstract

Summary This study uses the separability of the primary and multiple waves in the Radon domain to invert the filter coefficients at each point in the space-time profile, thereby suppressing the multiples using a two-dimensional nonstationary filtering technique. Compared with the parabolic Radon transform, it does not need to perform the inverse Radon transform, and alleviates the truncation effect caused by clearing the data in the Radon domain. Compared with two-dimensional nonstationary filtering, the uncertainty and subjectivity of filter design are avoided. Therefore, it is not just a simple combination of parabolic Radon transform and two-dimensional non-stationary filtering. Synthetic and field data examples show that this method has better ability of demultiple and amplitude preserving.
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基于二维非平稳滤波器反演的自适应解多方法
本研究利用Radon域中主波和多重波的可分性,反演时空剖面中各点的滤波系数,从而利用二维非平稳滤波技术抑制多重波。与抛物线Radon变换相比,不需要进行Radon逆变换,减轻了清除Radon域中数据所带来的截断效应。与二维非平稳滤波相比,避免了滤波器设计的不确定性和主观性。因此,它不仅仅是抛物线Radon变换和二维非平稳滤波的简单结合。综合和现场数据实例表明,该方法具有较好的去倍数和保幅能力。
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