Timelag and phaselag automatic recognition and correction method based on relative entropy
WANG Dong-Kai1, MIAO Yong-Kang1, JIN Chang-Kun1, ZHOU Hai-Ting2
1. Geophysical Research Institute of SINOPEC Shengli Oilfield, Dongying 257022, China 2. Shengli Oilfield Exploration and Development Research Institute, Dongying 257022, China
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.
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