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• 地球探测与信息技术 • 上一篇    下一篇

时频域高分辨地震层序识别

陈学华1, 2,贺振华1, 2,黄德济1   

  1. 1.成都理工大学 信息工程学院,成都 610059;2.成都理工大学 油气藏地质与开发工程国家重点实验室,成都 610059
  • 收稿日期:2007-03-20 修回日期:1900-01-01 出版日期:2008-01-26 发布日期:2008-01-26
  • 通讯作者: 陈学华

Seismic Sequence Identifying with High Resolution in Time-Frequency Domain

CHEN Xue-hua1, 2,HE Zhen-hua1, 2,HUANG De-ji1   

  1. 1.College of Information Engineering, Chengdu University of Technology, Chengdu 610059,China;2.State Key Laboratory of Oil & Gas Reservoir Geology and Exploitation, Chengdu University of Technology,Chengdu 610059,China
  • Received:2007-03-20 Revised:1900-01-01 Online:2008-01-26 Published:2008-01-26
  • Contact: CHEN Xue-hua

摘要: 地震信号频率随着时间的不稳定变化包含了地下反射层序特征的重要信息,时频分析是检测地震信号局部谱特征的重要工具。为适应实际地震信号处理,对S变换改进后得到一种新的广义S变换,用于分析和补偿地震信号的高频成分,得到了精细的地震层序识别剖面。实际资料处理表明,它对砂岩油气藏的成层特征的分析具有分辨率高和高信噪比的优点。地震信号的广义S变换时频谱分解可作为地震层序识别和解释的重要补充。

关键词: 地震层序, 时频分析, S变换, 广义S变换, 谱分解

Abstract: The non-stationary variation of frequency content of seismic signal with time characterizes information related to the properties of the subsurface reflection stratification. Time-frequency analysis of seismic signal was an important tool for detecting local properties of spectral content. In order to adapt to the seismic signal processing in real application, a generalized S transform (GST) was presented by altering the normal S transform. The seismic sequence identification section with high resolution was achieved by applying GST to analyze and compensate the high frequency content of seismic signal. The real data processing demonstrated that using GST-based time-frequency decomposition, the properties analysis of seismic stratification of sandstone reservoir possess both high resolution and better signal-to-noise ratio. Time-frequency spectral decomposition of seismic signal based on GST can aid in the classification of seismic sequences and serve as an important tool for seismic interpretation.

Key words: seismic sequence, time-frequency analysis, S transform, generalized S transform, spectral decomposition

中图分类号: 

  • P631.4
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