综合应用窄带子波记录及重构记录的不同分辨率特征，可以有效地识别某些细薄的隐蔽圈闭。
Some very thin subtle traps can be recognized effectively with the help of different resolution character of narrow band wavelet record and reconstructed record.
通过合成地震记录与井旁地震道的对比，从地震道中提取了非零相位的实际地震子波，并据此对原地震数据体进行子波反褶积处理。
The actual non zero phase wavelet was extracted from seismic traces by comparing synthetic seismogram with near wellbore seismic traces and was used to be deconvolved with seismic data.
理论计算表明，对不同性质的地震子波，均可从理论地震记录的双谱中重构子波。
Theoretic calculation show that wavelet can be reconstruct from double spectrum of theoretical seismic data for seismic wavelet with different characters.
并通过子波和反射系数序列的褶积作出了合成雷达记录。
Also, the synthetic radar record is presented using the wavelets and reflection coefficients in series.
用此法对理论记录和实际资料进行试算，结果表明子波处理的质量有了改进。
Experimental computing on both theoretical record and actual data by this method shows an improvement of wavelet processing quality.
因此，相关子波特性直接影响到可控震源地震记录的面貌与品质。
Therefore, the property of correlation wavelet directly affects the face and quality of seismic records of vibroseis.
但是在水深只有几十米的极浅海海域，无法满足记录远场子波的要求。
But the demand of recording far-field wavelet can't be met when water depth is only tens meters in ultra-shallow sea area.
本文讨论的是用同态理论从地震记录中估算地震子波的方法。
This paper presents a method for estimating seismic wavelet from seismic record by homomorphic theory.
通过对地震记录子波估计的理论模型试验，结果表明这种混沌的优化算法比单一的随机优化方法具有很好的实际效果和应用前景。
The model test results of seismic wavelet estimation show that the method is more efficient than that only use stochastic optimization algorithm.
通过对地震记录子波估计的理论模型试验，结果表明这种混沌的优化算法比单一的随机优化方法具有很好的实际效果和应用前景。
The model test results of seismic wavelet estimation show that the method is more efficient than that only use stochastic optimization algorithm.
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