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Time-frequency seismic data de-noising

机译:时频地震资料去噪

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摘要

Marine seismic data are always affected by noise. An effective method to handle a broad range of noise problems is a time-frequency de-noising algorithm. In this paper we explain details regarding the implementation of such a method. Special emphasis is given to the choice of threshold values, where several different strategies are investigated. In addition we present a number of processing results where time-frequency de-noising has been successfully applied to attenuate noise resulting from swell, cavitation, strumming and seismic interference. Our seismic interference noise removal approach applies time-frequency de-noising on slowness gathers (t — p domain). This processing trick represents a novel approach, which efficiently handles certain types of seismic interference noise that otherwise are difficult to attenuate. We show that time-frequency de-noising is an effective, amplitude preserving and robust tool that gives superior results compared to many other conventional de-noising algorithms (for example frequency filtering, x — p or fx-prediction). As a background, some of the physical mechanisms responsible for the different types of noise are also explained. Such physical understanding is important because it can provide guidelines for future survey planning and for the actual processing.
机译:海洋地震数据总是受到噪声的影响。处理大量噪声问题的有效方法是时频去噪算法。在本文中,我们解释了有关这种方法的实现的细节。特别强调阈值的选择,其中研究了几种不同的策略。此外,我们提出了许多处理结果,其中时频降噪已成功应用于衰减由膨胀,空化,弹跳和地震干扰​​引起的噪声。我们的地震干扰噪声消除方法对慢速波道(t_p域)应用了时频降噪。该处理技巧代表了一种新颖的方法,该方法可有效处理某些类型的地震干扰噪声,否则很难将其衰减。我们表明,时频降噪是一种有效的,保持幅度且健壮的工具,与许多其他常规降噪算法(例如频率滤波,x_p或fx预测)相比,它可以提供更好的结果。作为背景,还解释了造成不同类型噪声的一些物理机制。这种物理理解很重要,因为它可以为将来的调查计划和实际处理提供指导。

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