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频率域地表一致性反褶积方法及应用效果分析
引用本文:郭树祥,李建明,毕立飞,刘洪. 频率域地表一致性反褶积方法及应用效果分析[J]. 石油物探, 2003, 42(1): 97-101
作者姓名:郭树祥  李建明  毕立飞  刘洪
作者单位:1. 胜利石油管理局物探研究院,山东,东营,257022;中国科学院地质与地球物理研究所,北京,100101
2. 胜利石油管理局物探研究院,山东,东营,257022
3. 中国科学院地质与地球物理研究所,北京,100101
摘    要:提高地震资料分辨率的重要手段是采用反褶积技术。反褶积方法很多,如子波反褶积、脉冲反褶积和预测反褶积等。这些方法各有优缺点,在高分辨率资料处理中应用受到许多条件制约,不能有效地提高资料的分辨率,其效果不能满足解释人员的要求。作频率域地表一致性反褶积需要对记录进行频谱分析和频谱分解,同时要设计反褶积算子,然后在共炮点域和共接收点域分两步对资料进行褶积。这种方法能够展宽频谱,压缩地震子波,并能校正地震信号的相位谱,输出零相位子波,较大程度地提高地震资料的分辨率。该方法在胜利油田车22地区三维等资料处理中应用,取得了较好的效果。

关 键 词:反褶积 地震资料 频率域 资料处理 地震子波 炮点 地震信号 分辨率 一致性 行频
文章编号:1000-1441(2003)01-0097-05
收稿时间:2002-01-08
修稿时间:2002-05-15

Frequency domain surface-consistent deconvolution and its application
Guo Shuxiang,Li Jianming,Bi Lifei,Liu Hong. Frequency domain surface-consistent deconvolution and its application[J]. Geophysical Prospecting For Petroleum, 2003, 42(1): 97-101
Authors:Guo Shuxiang  Li Jianming  Bi Lifei  Liu Hong
Affiliation:1. The Geophysical Institute of Shengli Petroleum Administration, Dongying 257022, China;
Abstract:One of the important means of improving seismic resolution is deconvolution. There are many realizations of the deconvolution, wavelet deconvolution, impulse deconvolution, predictive deconvolution to name but a few. These deconvolution methods have their advantages and disadvantages.In case of high resolution seismic data processing thesemethods fail to meet requirements on seismic resolution. This paper described a frequency domain surface consistent deconvolution approach. Firstly spectral analysis and spectral decomposition were carried out on the seismic record, and a deconvolution operator was designed. Then the seismic data were deconvolved in common shot point domain and common receiver domain, respectively. The method can widen the spectrum, narrow the seismic wavelet, as well as output zero phase wavelet by rectifying the phases of the seismic data, which leads to greatly improv ment of the seismic resolution.Satisfactory results have been reached by applying the method to the 3 D data in Che22 and other survey areas in Shengli Oilfield.
Keywords:spectral analysis  spectral decomposition  wavelet design  deconvolution  seismic data processing
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