J4 ›› 2011, Vol. 41 ›› Issue (1): 305-309.

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Non-Linear Chaos Characteristics of Reservoir Logging Signals

NIE Chun-yan1,2|WANG Zhu-wen1|LI Ze3|CUI Bing-min1   

  1. 1．College of GeoExploration Science and Technology|Jilin University|Changchun 130026|China;
    2．Electronic Information Institute|Changchun University|Changchun 130022|China;
    3．Electronic Information Institute|Changchun University of Science and Technology|Changchun 130022|China
  • Received:2010-05-02 Online:2011-01-26 Published:2011-01-26

Abstract:

Non-linear analysis methods were used to extract characteristics information included in logging signals. Using one of analysis methods of non-stationary signal-the run-length method, non-stationary characteristics of reservoir well logging data can be analyzed. On this basis, the largest Lyapunov exponent of chaotic characteristics was extracted by non-linear chaos method. The results showed that the reservoir logging signals have non-stationary characteristics, in the same time, that the largest Lyapunov exponent is greater than zero, which indicate that logging data have chaotic characteristics. For this reason, non-linear chaos theory methods can be adopted to extract information of reservoir well logging in order to effectively describe characteristics of real reservoir well logging data.

Key words: well logging, signal, non-stationary, chaos, Lyapunov exponent

CLC Number: 

  • P631.8
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