| 时频域油气储层低频阴影检测 |
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| 引用本文： | 陈学华,贺振华,黄德济,文晓涛.时频域油气储层低频阴影检测[J].地球物理学报,2009,52(1):215-221. |
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| 作者姓名： | 陈学华 贺振华 黄德济 文晓涛 |
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| 作者单位： | 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及开发工程国家重点实验室，成都 610059 |
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| 基金项目： | 国家高技术研究发展计划(863计划)，国家自然科学基金，四川省教育厅青年基金 |
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| 摘 要： | 为了准确刻画地震信号的局部层次结构，实现高效率的三维地震资料瞬时谱分解，检测油气储层的低频阴影，构造了广义S变换.广义S变换通过引入两个参数，改造S变换的小波函数，使其小波能根据信号处理的具体应用需要而调整.模型信号的仿真发现，广义S变换具有更加优越和灵活可调的时频聚集性能.文中分析了低频阴影的机理，并利用广义S变换对三维实际地震资料进行了瞬时谱分解，它不仅能检测油气储层的低频阴影，而且可以刻画油气储层的岩性边界和空间展布，减小油气储层检测的多解性.
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| 关 键 词： | face=Verdana>低频阴影 谱分解 时频分析 S变换 广义S变换 油气储层 |
| 收稿时间： | 2008-1-8 |
| 修稿时间： | 2008-10-28 |
Low frequency shadow detection of gas reservoirs in time-frequency domain |
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| CHEN Xue-Hua,HE Zhen-Hua,HUANG De-Ji,WEN Xiao-Tao.Low frequency shadow detection of gas reservoirs in time-frequency domain[J].Chinese Journal of Geophysics,2009,52(1):215-221. |
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| Authors: | CHEN Xue-Hua HE Zhen-Hua HUANG De-Ji WEN Xiao-Tao |
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| Institution: | 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 |
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| Abstract: | In order to depict the local fine structure of seismic signal, implement instantaneous spectral decomposition of 3D seismic data with high computational efficiency and detect low frequency shadow related to gas reservoirs, a generalized S transform (GST) was presented in the paper. GST alters the fixed wavelet basis of existing S transform by introducing two parameters. The wavelet basis of GST is adjustable in accordance with the real application. The results in the simulation of signal model demonstrate that GST is more adaptive with more excellent time-frequency localization. The mechanism of low frequency shadow is introduced here. GST is applied in instantaneous spectral decomposition of real 3D seismic data. The method can not only detect low frequency shadow but also indicate the lithologic edge and spatial distribution of gas reservoirs, which decreases the uncertainty in gas reservoirs detection. |
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| Keywords: | Low frequency shadow Spectral decomposition Time-frequency analysis S transform Generalized S transform Gas reservoirs |
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