基于相对熵的时差相位差自动识别校正方法

doi:10.11720/wtyht.2021.2507

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Abstract Aim

ing at the problem of timelag and phaselag in the processing of seismic data, an automatic recognition and correction (ARC) method is proposed. The method is based on Hilbert transform and relative entropy algorithm. Kullback-Leibler divergence is used as the criterion. The whole process is data driven, and the recognition and correction of timelag and phaselag are realized automatically, which effectively reduces the cost of artificial identification and avoids errors caused by human factors. In this paper, the related principles and implementation process are expounded in detail, and the correctness and effectiveness of the method are verified by numerical simulation results. The application analysis of merged and multi-component actual seismic data shows that compared with manual identification and theoretical value correction, this method can effectively improve the accuracy of recognition and correction, enhance the consistency of events, improve the quality of the sections, and provide technical support for subsequent processing and interpretation.

Key words： relative entropy timelag phaselag Kullback-Leibler divergence

Received: 30 October 2019 Published: 01 March 2021

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	Articles by authors
	Dong-Kai WANG
	Yong-Kang MIAO
	Chang-Kun JIN
	Hai-Ting ZHOU

Cite this article:

Dong-Kai WANG,Yong-Kang MIAO,Chang-Kun JIN, et al. Timelag and phaselag automatic recognition and correction method based on relative entropy[J]. Geophysical and Geochemical Exploration, 2021, 45(1): 127-132.

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https://www.wutanyuhuatan.com/EN/10.11720/wtyht.2021.2507 OR https://www.wutanyuhuatan.com/EN/Y2021/V45/I1/127

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