【摘要】 中型和大型尺度结构构造分区性,使得地球内部介质地震波速度表征出大尺度的确定性模型,而小尺度上微孔和裂隙的存在会导致地震波速度分布的随机扰动,即自组织模型.目前地震学中常用的6种模式自组织模型为:高斯型、指数型、自相似型、白噪声、Flicker噪声和Brown噪声.我们从其滤波因子入手,比较了不同模式的自组织模型特征,结合有限差分法地震记录模拟及地震波特征分析,对比了上述6种模式自组织介质中声波传播特性.结果表明:地震波对不同模式的自组织介质的地震响应不同,如波形、能量、振幅等.由此我们可以通过分析实际地震记录的复杂性特征来鉴别其自组织类型,从而更好地解释实际地震资料.更多还原

【Abstract】 While seismic wave velocity shows large-scale deterministic geological structures, ubiquitous small-scale micro-fractures often cause statistic variations. Although seismic waves traveling through the Earth act as a low-pass filter and smooth out some small indeterministic components, those statistic in other words self-organized features exist underground. Six types of self-organized media are frequently used in seismology such as Gaussian, Exponential, self-similar, white noise, Flicker noise and Brown noise. From their filters, we compare different self-organized models with seismic recordings in conjunction with finite difference methods. The results show that various self-organized models of amplitude, energy and frequency will produce different synthetic seismograms. Thus we can make good use of this complex information to interpret field data well.更多还原