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频谱分解技术在南黄海崂山隆起的应用

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王建强, 陈建文, 梁杰, 孙晶. 频谱分解技术在南黄海崂山隆起的应用[J]. 海洋地质前沿, 2016, 32(10): 38-43. doi: 10.16028/j.1009-2722.2016.10006
引用本文: 王建强, 陈建文, 梁杰, 孙晶. 频谱分解技术在南黄海崂山隆起的应用[J]. 海洋地质前沿, 2016, 32(10): 38-43. doi: 10.16028/j.1009-2722.2016.10006
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WANG Jianqiang, CHEN Jianwen, LIANG Jie, SUN Jing. APPLICATION OF SPECTRUM DECOMPOSITION TO THE LAOSHAN UPLIFT, SOUTH YELLOW SEA[J]. Marine Geology Frontiers, 2016, 32(10): 38-43. doi: 10.16028/j.1009-2722.2016.10006
Citation: WANG Jianqiang, CHEN Jianwen, LIANG Jie, SUN Jing. APPLICATION OF SPECTRUM DECOMPOSITION TO THE LAOSHAN UPLIFT, SOUTH YELLOW SEA[J]. Marine Geology Frontiers, 2016, 32(10): 38-43. doi: 10.16028/j.1009-2722.2016.10006
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频谱分解技术在南黄海崂山隆起的应用

  • 国上资源部资源部海洋油气与环境地质重点实验室, 青岛 266071;海洋国家实验室海洋矿产资源评价与探测技术功能实验室, 青岛 266071;中国地质调查局青岛海洋地质研究所, 青岛 266071

  • 基金项目:

    南黄海海域油气资源普查(GZH200800503)

    南黄海前第三系油气前景研究(XQ-2005-01)

    南黄海崂山隆起和滩海区海相地层油气资源战略选区(XQ-2009-15)

    南黄海油气资源调查(DD20160512)

    国土资源部海洋油气资源和环境地质重点实验室基金(MRE201311)

详细信息
    作者简介: 王建强(1985-),男,博士,助理研究员,主要从事盆地分析及油气地质万而的研究工作.E-mail:wangjianqiang163@163.com

  • 中图分类号: P631.443

APPLICATION OF SPECTRUM DECOMPOSITION TO THE LAOSHAN UPLIFT, SOUTH YELLOW SEA

  • Key Laboratory of Marine Hydrocarbon Resources and Environmental Geology, Ministry of land and Resources, Qingdao 266071, China;Laboratory of Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, China;Qingdao Institute of Marine Geology, CGS, Qingdao 266071, China

    摘要
  • 频谱分解技术是将地震信号从时间域转换到频率域,分析振幅、相位在频率域的变化。频谱分解能够得到高于常规地震剖面分辨率的成像效果,提高不同地质体对信号的响应能力。针对南黄海崂山隆起碳酸盐岩,通过对比短时傅里叶变换、连续小波变换和S变换等不同算法的频谱分解方法,探讨了各自的适用特点,最后优选出 S变换对南黄海崂山隆起地震资料进行频谱分解。结果表明,该项技术提高了地震分辨率,为研究区储层和断层识别奠定了基础。
    Spectrum decomposition is the technique to convert seismic signals from time domain to frequency domain, and to provide the opportunity to study the changes in both amplitude and phase in the frequency domain. Resolution of the spectral decomposition can be higher than the results of conventional seismic interpretation, and the response capacity of the signal to different geological bodies are improved. There are great amount of carbonate reservoirs on the Laoshan Uplift in the South Yellow Sea. By comparison of the calculation and application results of the short-time Fourier transform, continuous wavelet transform and S transform of the spectrum decomposition methods, finally we recommended the S transformation as the tool to process the seismic data from the Laoshan uplift. Facts show that this technology may improve the seismic resolution, and help the identification of reservoirs and faults in the studied area.
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收稿日期:  2016-08-30

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