频率域地表一致性反褶积方法及应用效果分析

2003年 42卷 第No. 1期
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Frequency domain surface-consistent deconvolution and its application
1. 胜利石油管理局物探研究院,山东东营257022;2. 中国科学院地质与地球物理研究所,北京100101
1. The Geophysical Institute of Shengli Petroleum Administration, Dongying 257022, China;2. The Research Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100101, China
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。
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.
频谱分析; 频谱分解; 子波设计; 反褶积; 资料处理;
spectral analysis; spectral decomposition; wavelet design; deconvolution; seismic data processing;