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基于谱分解的断层自动识别
引用本文:廖新华, 阎平凡, 常迵. 基于谱分解的断层自动识别[J]. 地球物理学报, 1990, 33(02): 220-226,
作者姓名:廖新华  阎平凡  常迵
作者单位:清华大学自动化系
摘    要:本文在总结国内外地震勘探解释系统的基础上,以物理地震学为理论基础,利用谱分解、地震信号处理中的偏移技术、模式识别中的分级聚类算法和最小二乘法,提出了自动提取断棱衍射、识别断层的思想.仿真结果表明该思想和方法是可行的.本方法还可用于岩性地球物理勘探.

关 键 词:谱分解   断层识别   偏移   聚类分析
收稿时间:1988-07-02
修稿时间:1989-08-08

AUTOMATIC FAULTS RECOGNITION USING SPETRUM DECOMPOSITION
LIAO XIN-HUA, YAN PING-FAN, CHANG TONG. AUTOMATIC FAULTS RECOGNITION USING SPETRUM DECOMPOSITION[J]. Chinese Journal of Geophysics (in Chinese), 1990, 33(02): 220-226,
Authors:LIAO XIN-HUA  YAN PING-FAN  CHANG TONG
Affiliation:Automation Department, Tsinghua University, Beijing
Abstract:A new idea of recognizing faults is proposed in this paper. Spectrum decomposition is used to seperate diffractions and noise from uncliffracted reflections. Migration is used to seperate diffractions from noise. Then hierachical cluster analysis is used to gather fault points that belong to the same fault plane. Lastly, least-square algorithm is used to fir fault planes to the extracted fault points. Fault planes were successfully fitted to synthetic data by the computer MV/6000. Possible applications of this method in seismic stratigraphy was also discussed.
Keywords:Spectrum decomposition  Migration  Recognition of faults. Cluster analysis
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