【摘要】 在地震资料处理过程中,为了提高信号的信噪比以及保留数据的可靠频段,通常采用频率域滤波的方法.但是,传统的频率域滤波方法是基于傅里叶变换,在窗口与窗口之间的接合部位会出现假异常.且在滤除噪声的同时,很可能同时也将有用信息一起滤除掉.本文针对上述问题,将小波域分频处理与重构的方法应用到石油地震勘探数据处理中.在提高信号信噪比的同时又可兼顾其它频段信息,使处理出的地震剖面信噪比提高,频带有所拓宽,从而达到最佳重构.文中先后给出了小波变换及其逆变换的数值计算方法以及最佳小波和最佳重构系数的求取方法.最后通过实例分析,其结果表明,该方法在理论上是正确的,实际应用效果也是成功的.更多还原

【Abstract】 The frequency domain filter method has been usually adopted in seismic data processing in order to improve the signal’s signal-to-noise ratio and retention data reliable frequency band of data.Traditional Frequency domain filter are based on Fourier transformation,which may appear a false anomaly in conjunct part between the windows. Besides,during filtering noise,it’s possible that some useful information will be filtered at the same time.To solve the above-mentioned problems,the paper applies wavelet frequency division restructuring to seismic survey data processing.While improving the signal-to-noise ratio,the other frequency band information is considered and the signal-to-noise ratio of processed seismic profile is improved,broadering frequency band,and resulting in a best reconstruction.This article has given the wavelet transformation and the inverse transformation numerical calculus method as well as the best wavelet and the best restructuring coefficient seeking method successively.Finally through a real case analyzed,the result shows that the method is theoretically correct and application effect is successful.更多还原