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,并结合油气地球物理勘探的实际问题,在油气检测、小断层自动识别和相干技术3个领域进行了理论创新,相应提出了3种新的地震资料处理与解释方法:①采用高阶谱特征参数进行油气检测和识别,并得出了含水砂岩和含气砂岩的高阶谱属性规律;②采用四阶累积量函数计算时间延迟进行小断层的自动识别;③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。提出了利用沉积环境时间演化切片图进行砂体的沉积环境演化分析,为砂体的沉积环境演化分析提供了一种新的工具。
Based on the advantages of restraining Gaussian noise and information of common power spectral function, combined with higher order statistics and seismic exploration, the paper presents some audacious theoretical innovation in the fields of oil detection,auto-identification of small fault and event similanty prediction, and introduces three new methods of seismic data processing and interpretion based on higher-order statistics in the end: ①to forecast oil and gas with higher-order spectral parameter, and conclude the change of higher-order spectra between water-containing and oil-containing sandstones; ②to automatic identify small fault by time-delay estimation based on fourth order cumulant; ③to replace correlation function with fourth order moment to calculate coherency and develop a new coherency algorithm. Using higher-order statistics based on coherency algorithm, the paper proposes evolutional time slice figures of sedimentary environment, and uses them to analyze the sedimentary evolutional process of sandstone bodies, which is a new useful tool.
出处
《地质科技情报》
CAS
CSCD
北大核心
2005年第2期77-84,共8页
Geological Science and Technology Information
基金
国家高技术研究发展计划(863计划)项目(2003AA602110-5)
四川石油管理局地调处项目"高阶统计量方法在地震资料处理解释中的应用研究"
西南石油学院院科技基金资助项目(院245)
关键词
高阶统计量
高阶谱
地震属性
时间延迟估计
相干
higher-order statistics
higher-order spectra
seismic attribute
time-delay estimation
coherency
