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[1]ZHANG Shuai,YANG Runhai,JIANG Jinzhong,et al.Compressed Sensing Seismic Exploration Data Reconstruction Based on Jitter Sampling[J].Journal of Seismological Research,2025,(01):71-79.[doi:10.20015/j.cnki.ISSN1000-0666.2025.0009 ]

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Compressed Sensing Seismic Exploration Data Reconstruction Based on Jitter Sampling

Journal of Seismological Research[ISSN 1000-0666/CN 53-1062/P] Volume: Number of periods: 2025 01 Page number: 71-79 Column: Public date: 2024-12-20

Title:: Compressed Sensing Seismic Exploration Data Reconstruction Based on Jitter Sampling

Author(s):: ZHANG Shuai¹; YANG Runhai¹; JIANG Jinzhong¹; ZHANG Yan¹; ZHENG Dingchang¹; DENG Yuefei¹; YANG Runping²; WANG Zhihao¹; (1.Yunnan Earthquake Agency,Kunming 650224,Yunnan,China；2.Yulong Earthquake Agency,Yulong 674100,Yunnan,China)

Keywords:: compressive sensing; the Jitter sampling; seismic exploration; data reconstruction

CLC:: P315.3

DOI:: 10.20015/j.cnki.ISSN1000-0666.2025.0009

Abstract:: In the process of seismic exploration data acquisition,due to the complex field environment,the collected seismic data are often incomplete and have bad traces,but the completeness of the original seismic data is prerequisite for seismic data processing and interpretation. Based on the theory of compressive sensing sparse inversion,we constructed a compressive sensing method to reconstruct seismic exploration data by Jitter sampling. Then we compared our proposed sampling with the Gaussian sampling method and the regular undersampling method from the aspects such as their sampling model,spectrum analysis of sampled signal. Further,we tested the synthetic seismic data and,aiming at root-mean-square error,signal to noise ratio,cross correlation coefficient,we made a comprehensive evaluation of the reconstruction effect of the three methods. Comparing the three sampling methods,we found that the original seismic data and the reconstructed data by Jitter method have better consistency in the form and the amplitude,higher signal to noise ratio,less error,and larger correlation coefficient. The practical application of the reconstructed seismic data by Jitter method proves that these data have cophasal axes,good continuity,good consistency in amplitudes,and good effect for noise suppression. This indicates that the Jitter sampling method is able to do random sampling and in the meantime control the sampling interval and in this way make the sampling points not too scattered nor too concentrated. This is helpful for data recovery. In conclusion,the Jitter sampling method is able to reconstruct the dense and regularized data from the original,sparse,and uneven seismic data,thus provides the complete seismic data for the follow-up migration imaging and velocity modeling.

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Last Update: 2025-01-01