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A method of seismic signal de-noising based on S domain

机译:基于S域的地震信号降噪方法

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摘要

Based on the good time-frequency focusing of S transform, this paper introduces the generalized S transform (GST), which can flexibly chose the window function, to process the seismic signal, and systematically study the application of GST in the signal-noise separation of seismic data. This paper first uses the generalized S transform to decompose seismic data, and select suitable threshold to suppress the noises for the noisy frequency profile, and then extract significant signals, lastly reconstructs the seismic data processed. The synthetic and real seismic data processing experiments show that the method in this paper can efficiently separate signal and noise, and improve seismic section signal-to-noise ratio and seismic resolution.
机译:基于S变换良好的时频聚焦特性,本文介绍了可以灵活选择窗函数,处理地震信号的广义S变换(GST),系统地研究了GST在信噪分离中的应用。地震数据。本文首先使用广义S变换对地震数据进行分解,然后选择合适的阈值来抑制噪声频率分布图的噪声,然后提取有效信号,最后重建处理后的地震数据。综合和真实的地震数据处理实验表明,该方法可以有效地分离出信号和噪声,提高了地震剖面的信噪比和地震分辨率。

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