基于高阶统计量的相干体算法在地震中深层构造解释中应用  

The Application of higher-order statistics coherency algorithm in seismic datainterpretation

作　　者：段春节[1,2] 吴汉宁[1] 马承杰[3] 柏冠军 

机构地区：[1]西北大学大陆动力学国家重点实验室,西北大学地质学系,西安710069 [2]中国石油化工股份有限公司华北分公司开发处,郑州450007 [3]胜利油田信息中心,东营257015 [4]中海石油研究中心,北京100027

出　　处：《地球物理学进展》2009年第2期640-643,共4页Progress in Geophysics

基　　金：国家自然科学基金项目(40374020)资助

摘　　要：利用高阶统计量所具有的可抑制高斯噪声和比常规的自相关函数包含更多信息的优点,并结合地震解释的实际问题,本文采用四阶矩函数代替互相关函数进行相干计算,对第一代相干体算法进行了改进,发展了基于高阶统计量的相干体算法.该方法不仅计算速度快,而且抑制噪声能力强.通过与传统相干算法实际应用对比,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,尤其利于中深层构造解释.Based on the advantages of restraining Gaussian noise and information of common power spectral function, combined with higher order statistics and seismic interpretation ,the paper studied the higher-order statistics based on coherency algorithm, which replace correlation function with fourth order moment to calculate coherency and develop a new coherency algorithm. 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. It especially adapt to middle or deep structure interpretation.

关 键 词：高阶统计量 相干体 构造解释 C1算法 

分 类 号：P631[天文地球—地质矿产勘探]