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An Iterative Focal Denoising Strategy for Passive Seismic Data

机译:被动地震数据的迭代焦点策略

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Passive seismic source imaging can extract geophysical information from underground noise and has been widely utilized in geophysical research. Compared with conventional active seismic exploration, it is low-cost and eco-friendly; however, the application of passive seismic data is limited by coherent noise in the virtual-shot gathers. An approach involving direct denoising in the virtual-shot gathers has not previously been discussed; therefore, we present an iterative denoising strategy for passive seismic data. The reflection-preserving characteristic of focal transformation is adopted in the virtual-shot gathers to eliminate the coherent noise, and L1-norm sparse inversion is utilized to obtain a more accurate solution during focal transformation. A key aspect of this strategy is clean focal operator building at high noise levels. We apply local similarity as the criterion for extracting the majority of reflection energy for the focal operator. Because of strong coherent noise, a clean focal operator cannot be obtained in one iteration. We therefore obtain both denoised passive seismic data and a clean focal operator by denoising using a cleaner focal operator and operator building using updated denoising results. The presented approach can overcome the limits of coherent noise in virtual-shot gathers, which is significant for subsequent data processing and wider application. Synthetic examples achieve excellent performance in coherent noise attenuation and reflection energy reconstruction, especially in far-offset sections.
机译:被动地震源成像可以从地下噪音中提取地球物理信息,并已广泛用于地球物理研究。与传统的积极地震勘探相比,它是低成本和环保的;然而,被动地震数据的应用受虚拟射击收集中的相干噪声的限制。之前还没有讨论涉及直接去噪的方法;因此,我们为被动地震数据提出了一种迭代的去噪战略。在虚拟射击集中采用焦点变换的反射保留特性以消除相干噪声,并且利用L1-NOM稀疏反演来在焦点变换期间获得更准确的解决方案。该策略的一个关键方面是高噪声水平的清洁焦点运营商建筑。我们将局部相似性作为提取焦点运营商的大部分反射能量的标准。由于强烈的相干噪声,不能在一次迭代中获得清洁的焦距操作员。因此,我们通过使用更新的去噪结果使用更清洁的焦点操作员和操作员建筑来获得去噪的被动地震数据和清洁焦点操作员。所提出的方法可以克服虚拟射击收集中的相干噪声的限制,这对于后续数据处理和更广泛的应用是重要的。合成实例在相干噪声衰减和反射能量重建中实现了出色的性能,特别是在远偏移部分中。

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