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Enhancement of Deghosted Seismic Data Based on Spectra Reconstruction

机译：基于谱重构的去鬼地震数据增强

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摘要

Deghosting is a critical step to improve the resolution of marine seismic data. For the frequency wavenumber (f-k) spectra of the original seismic data with ghosts, there always exist some low-SNR frequency components around the centers of the frequency notch bands, which are caused by the ghosts. In general, the traditional inverse filtering-based deghosting methods lack the ability to recover these low-SNR frequency components without amplifying the additive noise. In this letter, we propose a postprocessing method to enhance the deghosted seismic data by reconstructing these low-SNR frequency components. The proposed method includes two key steps. First, the low-SNR frequency components of the deghosted seismic data in the f-k domain are located adaptively by using both the original seismic data and its deghosted result. Second, the projection onto convex sets algorithm is introduced to reconstruct these low-SNR frequency components located in the previous step. To illustrate this, we use the proposed method to improve the deghosted results obtained by the non-Gaussianity maximization based f-k deghosting method. Applications on synthetic and real field marine data sets demonstrate the validity of the proposed method which can enhance the deghosted results significantly.
机译：去鬼影是提高海洋地震数据分辨率的关键步骤。对于带有重影的原始地震数据的频率波数（f-k）频谱，在陷波频带的中心周围总是存在一些低SNR频率分量，这是由重影引起的。通常，传统的基于逆滤波的反虚反射方法缺乏在不放大附加噪声的情况下恢复这些低SNR频率分量的能力。在这封信中，我们提出了一种后处理方法，通过重建这些低SNR频率分量来增强反虚反射地震数据。所提出的方法包括两个关键步骤。首先，通过同时使用原始地震数据及其去鬼影结果，对f-k域中去鬼影地震数据的低SNR频率分量进行自适应定位。其次，引入凸集算法投影以重构位于前一步中的这些低SNR频率分量。为了说明这一点，我们使用提出的方法来改进通过基于非高斯最大化的f-k反虚像方法获得的反虚像结果。在合成和实地海洋数据集上的应用证明了该方法的有效性，该方法可以显着提高反虚幻结果。

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