Effective frequency estimation method for sinusoidal interference in seismic data

Effective frequency estimation method for sinusoidal interference in seismic data
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地震数据正弦干扰的有效频率估计方法

DOI:
10.1190/geo2020-0072.1
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发表时间:
2021-03
期刊:
影响因子:
3.3
通讯作者:
Jianjun Gao
Jianjun Gao
中科院分区:
地球科学2区
文献类型:
--
作者:
Yijun Yuan;Shichang Zhou;Yun Wang;Jianjun Gao

文献摘要

相似文献

正弦干扰的去除是地震资料处理中的一个重要环节,特别是对于低信噪比的地震资料。正弦干扰的间歇性特征使得识别和衰减具有挑战性。为了解决这个问题,我们已经开发出一种方法来准确地识别正弦干扰,并迅速估计其频率。提出了一种频谱生成策略,以生成具有明显正弦干扰的幅度谱。使用基于振幅谱的频率搜索技术,发现受影响频率的初始估计。然后通过迭代频率估计算法对估计进行细化,该算法包括快速频率估计和归一化互相关计算。在使用精确的频率估计对噪声建模之后,然后可以通过从原始地震数据中自适应地减去估计的噪声来抑制地震数据中的正弦干扰。通过对合成数据和现场数据的测试,并与现有方法的结果进行比较,验证了该方法在识别正弦干扰方面的有效性。合成和真实的数据实例表明,该方法最适用于陆地地震资料。
The removal of sinusoidal interference is an important step in seismic data processing, especially for data with low signal-to-noise ratios. The intermittent character of sinusoidal interference makes it challenging to identify and attenuate. To address this issue, we have developed a method to accurately identify sinusoidal interference and rapidly estimate its frequencies. A spectrum-generation strategy is presented to generate an amplitude spectrum with noticeable sinusoidal interference. An initial estimate of the affected frequencies is found using a frequency-search technique based on the amplitude spectrum. The estimate is then refined by an iterative frequency estimation algorithm, which includes fast frequency estimation and normalized crosscorrelation calculation. After modeling the noise using the precise frequency estimation, the sinusoidal interference in seismic data can then be suppressed by adaptively subtracting the estimated noise from the raw seismic data. The effectiveness of our method in identifying sinusoidal interference is verified by testing it on synthetic and field data and by comparing the results with those from existing methods. Synthetic and real data examples indicate that the method is most applicable to land seismic data.