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Double deconvolution method in time-frequency domain for the non-stationary seismogram

机译:非平稳地震图的时频域中的双折叠法

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The conventional seismic deconvolution methods almost assume that the seismogram is stationary, and the seismic wavelet is of zero-phase or minimum-phase. However, the actual seismic data can't meet the above assumptions. Thus, this paper proposes a double deconvolution method in time-frequency domain to improve the resolution of the non-stationary seismogram. Firstly, quadratic spectrum modeling method combined with higher order bispectrum method is used for the non-stationary seismogram to extract a single mixed-phase wavelet, and the first deconvolution is implemented by applying the spectrum division method for the entire of seismogram; then quadratic spectrum modeling method combined with higher order bispectrum in time-frequency domain is used to extract time-variant mixed-phase wavelet, and the second deconvolution is implemented by applying spectrum division method on every point spectrum in the time-frequency domain. Simulation experiments prove that the proposed method effectively overcomes the interference of adjacent strata, and greatly improve the resolution of the non-stationary seismogram.
机译:在传统的地震反褶积方法几乎假设地震图是静止的,并且地震子波是零相或最小相的。然而,实际的地震数据不能满足上述假设。因此,本文提出了在时间 - 频率域中的双去卷积方法来提高非平稳地震记录的分辨率。首先,将使用二次光谱建模方法与高阶双谱方法组合以非固定地震图,以提取一个单一的混合相位子波,并且所述第一反卷积是通过施加于地震图的整个频谱分割方法来实现;然后二次光谱建模方法与高阶双谱在时间 - 频率域中组合用于提取随时间变化的混合相位子波,以及第二去卷积是通过在时 - 频域中的每一个点的频谱施加频谱分割方法实现。仿真实验证明,该方法有效地克服相邻阶层的干扰,大大提高了非平稳地震的分辨率。

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