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• 地球探测与信息技术 • 上一篇    下一篇

阵列声波测井信号的时频局域相关能量分析

王祝文1,刘菁华1,聂春燕2   

  1. 1.吉林大学 地球探测科学与技术学院,长春 130026;2.长春大学 电子信息工程学院,长春 130022
  • 收稿日期:2007-04-24 修回日期:1900-01-01 出版日期:2008-03-26 发布日期:2008-03-26
  • 通讯作者: 王祝文

Array Acoustic Logging Signal Analysis Based on the Local Correlation Energy

WANG Zhu-wen1,LIU Jing-hua1,NIE Chun-yan2   

  1. 1.College of GeoExploration Science and Technology, Jilin University, Changchun 130026, China;2.Electronic Information Institute, Changchun University, Changchun 130022, China
  • Received:2007-04-24 Revised:1900-01-01 Online:2008-03-26 Published:2008-03-26
  • Contact: WANG Zhu-wen

摘要: 提出了一种基于信号时、频局域相关能量的新的时-频信号分析方法-Rihaczek分布,对多极子阵列声波测井信号进行了分析。该方法有着比较明确的物理意义,对不同岩性、构造的响应具有很好的区分和识别能力。声波的Rihaczek分布对不同的岩性,以及由不同岩性组成的构造破碎带具有明显不同的表现特征。利用相应的模式识别方法,可以对这些岩性、构造进行有效的区分和识别。

关键词: 阵列声波测井, 时-频分布, 信号分析, Rihaczek分布

Abstract: A new time-frequency signal analysis method, Rihaczek distribution, based on local correlation distribution of signal energy between time and frequency domains is proposed. The distribution has an evident physical significance. This method was provided with the abilities to distinguish and identify different kinds of lithologies and structural responses. And the Rihaczek distributions of array acoustic logging signal have evident differences for different rocks and structural fractures zones. Using the corresponding pattern recognition method, the lithologies and structures can be distinguished and identified effectively.

Key words: array acoustic logging, time-frequency distribution, signal analysis, Rihaczek distribution

中图分类号: 

  • P631.81
[1] 王祝文, 向旻, 刘菁华, 王晓丽, 张雪昂, 杨闯. 基于分数阶Fourier变换的声波测井全波列特征时频分析[J]. J4, 2012, 42(5): 1553-1559.
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