耿春明. 基于地震属性融合技术圈定盐岩溶腔[J]. 华北地震科学,2020, 38(S1):10-13. doi:10.3969/j.issn.1003−1375.2020.S1.002.
引用本文: 耿春明. 基于地震属性融合技术圈定盐岩溶腔[J]. 华北地震科学,2020, 38(S1):10-13. doi:10.3969/j.issn.1003−1375.2020.S1.002.
GENG Chunming. Salt Karst Cavity Determination based on Seismic Attribute Fusion Technology[J]. North China Earthquake Sciences,2020, 38(S1):10-13. doi:10.3969/j.issn.1003−1375.2020.S1.002.
Citation: GENG Chunming. Salt Karst Cavity Determination based on Seismic Attribute Fusion Technology[J]. North China Earthquake Sciences,2020, 38(S1):10-13. doi:10.3969/j.issn.1003−1375.2020.S1.002.

基于地震属性融合技术圈定盐岩溶腔

Salt Karst Cavity Determination based on Seismic Attribute Fusion Technology

  • 摘要: 对三维地震勘探盐岩溶腔的方法进行研究与分析,通过地震勘探实例数据,选取盐岩溶腔敏感地震属性,并进行地震多属性分析,优选出4种对盐岩溶腔敏感的地震属性,采用主成分分析方法对4种地震属性进行优化处理,对比结果表明:4种属性经主成分分析后,消除了多种数据之间的冗余,转化后的主组分,可以代表主成分分析前多种属性的地球物理和地质信息,能更好地突出信号的局部特征。将优化结果用于盐岩溶腔的预测,取得了较好的效果。

     

    Abstract: The method of three-dimensional seismic exploration for salt rock cavern is studied and analyzed. Through the example seismic exploration data, the sensitive seismic attributes of salt rock cavern are selected, and the seismic multi-attribute analysis is carried out, and four sensitive seismic attributes of salt rock cavern are optimized, the four seismic attributes are optimized by Principal Component Analysis(PCA). The results show that after PCA analysis, the redundancy among various data is eliminated, and the transformed principal components are transformed, geophysics and geological information that represents multiple attributes prior to principal component analysis can better highlight the local characteristics of the signal. The optimized results are applied to the prediction of rock salt cavity, and a good result is obtained.

     

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