基于高阶统计的混合相位子波估计及其处理
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摘要
与功率谱相比,地震记录高阶谱具有两大优点:①包含地震子波的幅值和相位信息;②能够有效压制有色噪声干扰。通过提取子波的幅值和相位,进而使地震子波得以恢复。同时,针对估计所得线性移位子波特点,提出了线性移位子波反褶积方法。模拟试验表明,双谱子波估计方法具有稳定性高、抗噪能力强等优点。经双谱子波估计方法处理的模拟地震资料,其频带较处理前明显拓宽,可见该方法是切实可行的。
Compared to power spectra, higher-order spectra have two merits: containing information about the amplitude and phase of the wavelet; as well as effectively suppressing colored noises. We reconstructed seismic wavelet by extracting information of amplitude and phase. Furthermore, according to the characteristics of the estimated linearly shifted wavelet, we developed a new deconvolution method called linearly shifted wavelet deconvolution. The stability and noise-resistant ability of the method were verified by modeling. The frequency band of the processed data is noticeably spread.
引文
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