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地震相关性是用来计算由构造、地层、岩性、孔隙的变化及油气层等因素引起的地震响应横向变化的一种方法。它不象晕渲地形图,必须通过层位拾取才能得到断层和河道的3D可视化。地震相关性是用原始的地震资料进行计算,因而不存在由解释者或层位自动拾取程序产生的偏差。 我们介绍一种稳健、多道、基于相似的相干算法。它可以分析那些质量比用三道互相关算法处理的资料更差的地震资料。这种基于相似的第二代相干算法的垂向分辨率优于原始的零平均互相干算法,从而减少上覆和下覆地层特征的混合。我们一般用尽量小的时窗分析地层特征,时窗大小受输入的地震资料中有意义的最高频率的严重影响。在这种限制下,你可以用我们新的基于相似的相干算法,来处理用传统的方法沿着地震层位的波峰或波谷拾取的“一个采样点厚度”的地震数据体,该数据体的振幅远远高于周围的地震噪声。相反,较长的分析时窗,对于分析近垂直的构造特征,如断层,能得到较好的效果。这个时窗长度应与地震资料的最低频率有关。 该算法除了计算整个数据体的倾角/方位角以外,还能计算传统的复数道属性(包括振幅包络、相位、频率和带宽)。这些属性是用相关分析窗口中地震资料沿着反射层倾角倾斜叠加的结果提取的。这些更稳健的复数道属性可以与相干性
Seismic correlation is a method used to calculate the lateral response of the seismic response due to changes in structure, formation, lithology, porosity, and hydrocarbon layers. Unlike shading relief maps, it has to be picked up by layers to get 3D visualization of faults and channels. Seismic correlation is calculated from the original seismic data so there is no bias due to the interpreter or horizon auto-pick-up procedure. We introduce a robust, multi-channel, similar coherent algorithm. It can analyze seismic data with poorer quality than those processed with the three-cross-correlation algorithm. The vertical resolution of this similar second-generation coherent algorithm is superior to the original zero average cross-correlation algorithm, which reduces the mixing of overburden and overburden features. Stratigraphic features are generally analyzed using as small a time window as possible, and the window size is severely affected by the significance of the highest frequencies in the input seismic data. With this constraint, you can use our new similarity-based coherence algorithm to handle seismic data volumes of “one sample thickness” picked up along the crests or troughs of the seismic horizon using traditional methods The amplitude is much higher than the surrounding seismic noise. On the contrary, a longer analysis time window, for the analysis of near vertical structural features, such as faults, can get better results. The length of this window should be related to the lowest frequency of seismic data. In addition to calculating the tilt / azimuth of the entire data volume, the algorithm calculates the traditional complex channel properties (including amplitude envelope, phase, frequency, and bandwidth). These properties are extracted from the results of oblique stacking of seismic data along the reflection layer in the correlation analysis window. These more robust properties of complex numbers can be related to coherence