First break of the seismic signals in oil exploration based on information theory

  • Qiu-Jing Zhang
  • Ming-Yue ZhaiEmail author
Machine Learning - Applications & Techniques in Cyber Intelligence


In oil seismic exploration, automatic picking of first arrivals is very important but difficult for seismic data with low signal-to-noise ratios. In the paper, we proposed a new method based on mutual information in information theory. Mutual information between signals and noises is zero theoretically; thus, random noises have fewer effects on first arrivals pickup with the criterion of mutual information. The paper presents a detailed description of the method based on mutual information. Tests and verification with simulation data and field measurements are carried out. When compared with other well-known methods, the first break picking accuracy and efficiency of the proposed algorithm are verified.


Seismic data First arrivals Pickup Mutual information 


Authors’ contributions

Q-JZ and M-YZ were involved in conceptualization. Q-JZ involved in methodology, software and resource selection, writing and preparing original draft, and supervision. M-YZ involved in formal analysis, investigation, data curation and supervision, and in writing, reviewing and editing original draft.

Compliance with ethical standards

Conflict of interest

The authors declare no conflict of interest.


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Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2019

Authors and Affiliations

  1. 1.School of Computer and Information EngineeringGuangdong University of Petrochemical TechnologyMaomingChina

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