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相干体技术算法研究及其在地震资料解释中的应用
引用本文:孙夕平,杜世通.相干体技术算法研究及其在地震资料解释中的应用[J].中国石油大学学报(自然科学版),2003,27(2).
作者姓名:孙夕平  杜世通
作者单位:石油大学地球资源与信息学院,山东,东营,257061
基金项目:“九五”中国石油天然气集团公司攻关项目 (990 0 2 713 8)
摘    要:相干体技术用于检测地震波同相轴的不连续性 ,可以用来识别断层、特殊岩性体、河道等 ,为三维地震资料解释提供了技术手段。相干体技术算法已从最初的互相关算法发展到相似算法、本征结构算法 ,并从时域发展到频域。用协方差矩阵的形式综合了相干体技术的 3种算法 ,论述了各种算法的优、缺点和适用条件 ,并讨论了三维相干数据体在地震资料解释中几个方面的应用。研究结果表明 ,对于不同的解释目的 ,可以选择效率和精度合适的算法 ,得到的相干体可以为地震解释提供丰富的信息。

关 键 词:地震波  检测  相干体技术  相似性  相干算法  本征值  三维相干数据体  地震解释

Development and application of algorithm of coherency cub technique to seismic interpretation
SUN Xi ping and DU Shi tong. Faculty of Geo Resource and Information in the University of Petroleum,China,Dongying.Development and application of algorithm of coherency cub technique to seismic interpretation[J].Journal of China University of Petroleum,2003,27(2).
Authors:SUN Xi ping and DU Shi tong Faculty of Geo Resource and Information in the University of Petroleum  China  Dongying
Affiliation:SUN Xi ping and DU Shi tong. Faculty of Geo Resource and Information in the University of Petroleum,China,Dongying 257061
Abstract:The coherency cub technique can be used to detect discontinuity of seismic wave events, so it can also be used to distinguish the fault, special lithosome and channel. This technique is a powerful tool for 3 D seismic interpretation. The algorithm of coherency cub technique was developed from the cross correlation algorithm to the semblance algorithm, and to the eigen structure based algorithm. Recently the coherence algorithm was developed from original time domain to frequency domain. In order to understand and apply coherence cub technique to the seismic data interpretation appropriately, the covariant matrix was used to colligate three algorithms of coherency cub technique. The advantages, disadvantages and limited conditions of the three algorithms were also analyzed. The application aspects of three dimensional coherency data cub to seismic interpretation were discussed. It is shown that the algorithm with suitable effectiveness and precision can be selected for different interpreters. The proper algorithm can provide more abundant information for seismic data interpretation.
Keywords:seismic wave  detection  coherency cub technique  semblance  coherency algorithm  eigen value  3D coherency data cub  seismic interpretation
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