高斯线调频小波变换及其在地震震相识别中的应用

基于地震渐变信号在起始点附近信号高频分量比较丰富，但信号幅度较小的特点，本文选取高斯线调频小波作为基函数，研究了不同小波参数和信号参数对其变换结果的影响规律，找出了直接利用变换峰值进行震相识别的误差来源，提出了一种从背景噪声中实现渐变地震震相识别的有效方法——定尺度小波变换比方法，给出了模拟数字信号和实际地震震相识别的实例．      

Application of wavelet theory to identify yielding in seismic response of bi‐linear structures

The time–frequency and the time‐scale analysis methods are used in this paper to identify the dynamic characteristics of non‐linear seismic response of structural systems with single degree of freedom (SDOF) and multiple degrees of freedom (MDOF). Based on the floor acceleration response time histories of bi‐linear SDOF and MDOF structures, the current study compares the results of system identification using the short‐time Fourier transform (STFT), continuous wavelet transform (CWT) and discrete wavelet transform (DWT) methods. The aim is to identify the frequency variations and the time at on‐set of yielding and unloading of a bi‐linear structural system during seismic response. The results demonstrate that the CWT method is better than the STFT method in both time and frequency resolutions, and that the DWT method is the best at detecting the time at on‐set of yielding and unloading. Combining the results of CWT and DWT methods therefore provides accurate information of both frequency variations and yielding time in non‐linear seismic response. To alleviate the problems associated with noise‐contaminated signals, e.g. seismic response data recorded on site, the study suggests that low‐pass filtering be carried out before applying the DWT method to decompose the signals into multiple levels of details. Copyright © 2001 John Wiley & Sons, Ltd.     

第二代小波变换及其在地震信号去噪中的应用

本文讨论了第二代小波变换的基本原理和变换过程，并将第二代小波变换引入到地震资料去噪处理中，基于提升法的小波变换是一种柔性的小波构造方法，它使用线性、非线性或空间变化的预测和更新算子，并能确保变换的可逆性。通过对模拟数据和实际资料的处理，证明了的它对地震信号去噪具有很好的效果。离散信号的小波去噪可分为三步：小波分解，系数缩减（切除噪声部分），信号重建。目前常用的小波去噪的方法有硬阈值法和软阈值法，这里采用软阈值法去噪。本文的提升变换采用的是Deslauriers-Dubuc（4，2）小波，基于以上变换方法，分别对含噪的模拟数据及实际地震数据进行3级可逆提升变换，对每一级上的细节信号按上述的软域值法进行处理，削减小波系数中的噪声部分，从而实现了信号去噪，结果证明去除随机噪声的效果是令人满意的。     

基于地震剖面瞬时峰值能量频率的衰减分析与气藏预测方法

由于流体本身的粘滞性和摩擦性,使得地震波在含油气地层中传播时衰减形成低频阴影.通过对叠后地震资料做时频分解,分析地层衰减特征,是当前除了AVO技术之外,比较流行的直接识别流体和气藏的技术.本文基于波动方程正演,模拟了地震波对含油气地层的响应.然后采用连续小波变换分析不同尺度剖面的瞬时能量特征,提取分频剖面上每一个点的峰值能量对应的频率,得到瞬时峰值能量频率剖面.通过分析瞬时峰值能量频率剖面,分析了地震波在地下介质中传播时的衰减特征.最后应用此方法对实际地震剖面进行了分析,验证了其有效性.     

Numerical modeling of global seismic phases and its application in seismic phase identification

Earthquake data include informative seismic phases that require identification for imaging the Earth's structural interior. In order to identify the phases, we created a numerical method to calculate the traveltimes and raypaths by a shooting technique based upon the IASP91 Earth model, and it can calculate the traveltimes and raypaths for not only the seismic phases in the traditional traveltime tables such as IASP91, AK135, but also some phases such as pPcP, pPKIKP, and PPPPP. It is not necessary for this method to mesh the Earth model, and the results from the numerical modeling and its application show that the absolute differences between the calculated and theoretical traveltimes from the ISAP91 tables are less than 0.1 s. Thus, it is simple in manipulation and fast in computation, and can provide a reliable theoretical prediction for the identification of a seismic phase within the acquired earthquake data.     

地震信号的复地震道分析及应用

复地震道分析又称三瞬分析,该分析方法可将反映地震信号局部变化情况的地震波的瞬时振幅、瞬时相位和瞬时频率等信息分离开.本文应用Hilbert变换求解虚地震记录,用复地震道分析方法求取"三瞬"信息,并用该方法计算了理论合成地震记录的瞬时振幅、瞬时相位和瞬时频率,获得了较好的效果.同时,本文也利用该方法对某区块实际地震资料进行了处理,结果表明,复地震道分析方法获得的"三瞬"信息可反映地震信号的局部变化,有助于进行地震薄互层分析,并能提高数据的解释精度.     

基于频率域峰值属性的河道砂体定量预测及应用(英文)

河道砂体是陆相含油气盆地最重要的储集类型之一,其边界识别和厚度定量预测是储层预测的热点难题。本文在总结现有方法技术的基础上,提出一种利用频率域峰值属性进行河道砂体边界识别和厚度定量预测的新方法。对典型河道薄砂体地震反射进行了正演模拟,构造了一种新的地震属性——峰值频率-振幅比,研究表明:峰值频率属性对地层厚度变化敏感,振幅属性对地层岩性变化敏感,两者比值突出河道砂体的边界,同时,借助峰值频率与薄层厚度间存在的定量关系进行薄砂体厚度计算。实际数据应用表明,地震峰值频率属性可以较好的刻画河道的平面展布特征;峰值频率-振幅比属性可以提高对河道砂体边界的识别能力;利用频率域地震属性进行砂体边界识别及厚度定量预测是可行的。     

三参数小波及其在地震资料分析中的应用

提出了一类含有三个可调参数的分析小波（称为三参数小波）,通过选择这三个参数,可使其最适合于所给定的问题．Morlet小波及改进的Morlet小波是其特例．通过对三参数小波中的参数加以约束,可以获得一类新的近似解析小波．论证了通过恰当的选择参数,三参数小波不仅适合于分析包含慢变频率和振幅分量的信号,而且也适合于包含快变分量的信号．以三参数小波为分析小波,提出了一种用于薄互层地震资料分析的方法．该方法能够刻画薄互层的沉积旋回,也能研究薄互层内部的局部结构,并采用模型资料验证了方法的有效性．     

多尺度奇异性检测及其在地震相分析中的应用

本文从地震道的奇异属性出发,利用连续小波变换求取地震道的小波变换模极大值曲线,并沿此曲线提取地震道的小波变换系数,称之为小波变换模极大值连线振幅.此属性不仅可以代表信号本身,而且可以最大程度的区别于相邻道,并且具有地震道多尺度的特征,即兼具时频域的特征.由此结合自组织神经网络,我们提出了一种新的地震相分析方法.通过模型合成地震记录实验分析,证明此方法是可行的,且对地质层位的解释误差具有一定的容许度.最后,将此方法应用于了实际资料,取得了良好的效果.     

Simulations of non‐stationary frequency content and its importance to seismic assessment of structures

To verify the importance of the non‐stationary frequency characteristic of seismic ground motion, a joint time–frequency analysis technique of time signals, called chirplet‐based signal approximation, is developed to extract the non‐stationary frequency information from the recorded data. The chirplet‐based signal approximation is clear in concept, similar to Fourier Transform in mathematical expressions but with different base functions. Case studies show that the chirplet‐based signal approximation can represent the joint time–frequency variation of seismic ground motion quite well. Both the random models of uniform modulating process and evolutionary process are employed to generate artificial seismic waves. The joint time–frequency modulating function in the random model of evolutionary process is determined by chirplet‐based signal approximation. Finally, non‐linear response analysis of a SODF system and a frame structure is performed based on the generated artificial seismic waves. The results show that the non‐stationary frequency characteristic of seismic ground motion can significantly change the non‐linear response characteristics of structures, particularly when a structure goes into collapse phase under seismic action. It is concluded that non‐stationary frequency characteristic of seismic ground motion should be considered for the assessment of seismic capacity of structures. Copyright © 2002 John Wiley & Sons, Ltd.     

Statistical estimation of corner frequency and its application to seismic event-identification

A statistical method is proposed for estimation of the corner frequency. It is based on inference for a stochastic model whose short-term behavior resembles the established source time functions. Properties of the estimates are investigated and some numerical examples are presented. A discussion concerning earthquake–explosion discrimination and the way corner frequency can be related to the rate of zero-crossings is also included. The paper is concluded with some numerical examples.     

Seismic attenuation tomography in frequency domain and its application to engineering

Seismic tomography is a new geophysical technique being developed to meet the needs of mining and engineering projects. Attenuation tomography, as one kind of seismic tomography technique, is a powerful prospecting tool for determining structure defaults such as fault, broken zone, and hidden voids, but it has been little discussed up to now. Its principle and applications are presented in detail. Attenuation tomography technology includes the following main points. First, on the basis of spectrum analysis to each seismic record, geometric correction is conducted, then common source parameters are introduced into common shot records in order to keep absorption effect of the geological media separate from source spectrum influence. Finally, an equation set is obtained which consists of absorption coefficients, common source parameters and energy field data observed. This technique can be employed together with velocity tomography to provide more evidence for engineering and geological diagnosis. Its applications to exploration of mineral and engineering have led to satisfactory results.     

F检测算法及其在识别地震地表反射波震相中的初步应用

地震P波波列中地表反射波pP或sP震相的准确识别,对地震震源深度的精确测定具有重要作用.基于新疆和田地震台阵部分地震记录数据,利用F检测算法对震中距分别为22.1°,6.44°和39.62°的3次地震事件进行了地表反射波pP或sP震相检测.结果表明,应用F检测分析新疆和田小孔径地震台阵数据,可以帮助分析人员识别地震的地...     

基于S变换的软阈值滤波在深地震反射数据处理中的应用

深地震反射原始单炮数据是非平稳的弱能量反射信号, 信噪比较低. 如何提高信噪比一直是深地震反射数据前处理中的一大难题. S变换是一种适用于分析非平稳信号的时频变换方法. 同其他分析时变信号的方法相比, S变换的基本小波不必满足小波在时间域均值为零的容许性条件, 它的时频分辨率与分析信号的频率有关, 且其在时间域的积分可以得到傅里叶频谱,其反变换也简单. 因此, S变换容易表示深地震反射信号复杂的时频特性. 本文在S变换的基础上, 利用软阈值滤波方法对深地震反射数据进行处理, 实验结果表明, 该方法有效地提高了信噪比, 压制了有效频带范围内的混频干扰, 突出了弱反射信号, 使得波组信息更加丰富, 有利于连续追踪有效反射波组和识别薄地层, 特别是提高了深部Moho界面反射层位的分辨率, 为深地震反射剖面后续处理和准确解释奠定了基础.     

用改进的相对幅值法反演震源机制及其在核爆炸地震事件识别中的应用

与波形反演方法相比,相对幅值法在利用短周期地震波反演震源机制时不需要高分辨率的地球模型,因此更适合于低震级地震事件的震源机制反演．本文以Pearce的传统相对幅值法为基础,引入一种新目标函数以量化特定震源机制解模型的直达P波与地表反射pP和sP波的理论相对幅值与实际观测之间的不吻合程度,由此提高了相对幅值法的容错能力．利用改进的相对幅值法,反演了吉尔吉斯斯坦伊赛克湖地区震级分别为mb4.9和mb3.8的两次天然地震震源断层面解．对于较大的地震,利用5个远震台阵上观测的pP/P和sP/P相对幅值得到的震源断层面解,与哈佛大学的CMT断层面解非常接近;对于哈佛大学没有给出CMT解的较小地震,利用同样方法得到的震源断层面解的走向与震中位置处主要断层的走向一致,而且利用该断层面解可以拟合和解释区域台站上的长周期波形和P波初动方向．最后,为了说明相对幅值法在地下核爆炸地震事件识别中的应用,利用改进的相对幅值法分析了朝鲜2006年10月9日核试验的远震P波波形,发现没有断层面解与远震台站上的P波波形特征相吻合．     

瞬时频域衰减属性及其在碳酸盐岩裂缝检测中的应用

基于AVO梯度、走时及速度的纵波方位角裂缝检测已有较多研究和应用.由于裂缝及所含流体的综合作用,碳酸岩裂缝性储层的地震响应具有高频衰减、频带低移及方位各向异性的特点,因此应用衰减属性进行裂缝预测具有重要价值.基于小波变换计算的瞬时频域振幅谱及以此为基础提取的衰减属性,由于在时域和频域都有较好的分辨率能力,能够准确地刻画出碳酸岩裂缝性储层的非均质性.结合三维地震纵波数据的分方位角处理和分析技术,可以由方位衰减属性估算裂缝相对密度.对Z区下古生界潜山碳酸岩储层进行的裂缝预测表明,由衰减梯度和85%能量比频率两种属性导出的裂缝发育密度具有很好的相关性,且与实际情况符合.     

一种推广的互功率谱模态识别法及其在SHM问题中的应用

详细推导了多自由度结构多测点加速度响应的互功率谱模态矩阵展开式。进而给出了未知激励条件下基于各测点加速度响应互功率谱的频域多参考点模态识别法,同文献相比,该法适用于更广范围的激励条件。在频域平均法的辅助下,对ASCE SHM Benchmark问题的解析模型仿真加速度响应数据进行识别,结果表明该法有较好的识别精度,是一个有望应用于在线监测环境下的模态识别算法。