利用独立分量分析技术对油气富集区进行地震识别  

Seismic identification of oil-gas accumulation area using independent component analysis technique

作　　者：王任一[1] 梅廉夫[1] 

机构地区：[1]中国地质大学资源学院

出　　处：《石油学报》2008年第4期544-548,共5页Acta Petrolei Sinica

基　　金：国家科技攻关项目(2004BA616A07)资助

摘　　要：地下地质体可等效地分成地质体几何形态、地质体骨架属性、流体属性和噪音4个相互独立"基本结构因子"。地震观测信号可等效地看成是地下地质体4个"基本结构因子"信号源的线性混叠信号,利用独立分量分析技术(ICA)可从混叠信号中提取出这些相互独立的信号源,从而可提取出隐含在地震观测信号中的含油气性(流体属性)和沉积相(骨架属性)等有用的信息。利用ICA技术从地震属性中分离出相互独立信号源的地质解释,主要依靠对工区现有的地质研究成果来赋予它实际的地质含义,这具有一定的主观随意性,可通过信息熵等其他数学方法减小这种解释的主观性。The subsurface geologic bodies are divided into four independent elementary structure factors, including geologic body geometry, geologic body matrix property, liquid property and noise. The seismic observation signal is equivalent to the linear aliasing signal taking above four elementary structure factors as signal source. The independent signal source can be extracted from aliasing signal by the use of independent component analysis （ICA） technique. Some available information such as petroliferous and sedimen-tary micro-facies information connotatively existing in seismic observation signal can be extracted. The actual geologic significance of the geologic explanation of independent signal source separated from the seismic attribute by the use of ICA technique can be given according to the existing geologic research results. This method will result in some subjective explanation, which can be reduced by the use of some mathematic methods such as information entropy.

关 键 词：油气富集区 沉积相 独立分量分析技术 地震属性 混叠信号 信息熵 

分 类 号：P631.445[天文地球—地质矿产勘探]