基于高阶统计量的相干体算法及砂体沉积演化分析

高阶统计量比功率谱函数包含更多的信息,且对高斯噪声不敏感,为此以第一代基于相关的相干体算法为基础,提出了一种新的基于高阶统计量的相干体算法.该算法采用四阶矩函数进行计算,不仅计算速度快,而且抑制噪声能力强.实际资料的相干时间剖面表明,该算法有效地突出了地层的高连续性特征,有利于层位追踪和断层解释.利用该算法得到了沉积环境时间演化切片图,可将其应用于砂体的沉积演化分析.

Coherency algorithm based on higher-order statistics and sedimentary evolvement analysis of sandstone bodies

The higher-order statistics are insensitive to Gaussian noise and include more information than power spectrum.A new coherency algorithm based on higher-order statistics from the first generation of correlative coherency algorithm was presented.Fourth-order moment was used in the new algorithm, which makes the new algorithm has very fast calculating speed and strong valid for restraining Gaussian noise.The result of practical coherent time profiles indicates that the new algorithm can effectively enhance the continuity, which is helpful to track strata and explain faults.The evolving time slice figures of sedimentary environment can be obtained from the new algorithm.The new algorithm is useful for analyzing the sedimentary evolving process of sandstone bodies.