基于灰度共生矩阵的地震数据空间结构属性分析技术
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摘要
本文从地震数据空间结构属性原理出发,阐述了灰度共生矩阵(GLCM)的定义及特点,给出地震空间结构属性计算方法,从而将地震波形图像转换成带有明确地质意义属性(能量、熵、对比度及均质性)的色差图像,达到识别复杂地质目标体的目的。在大民屯凹陷西斜坡的应用实例表明,对比度属性对识别断层、熵属性对识别岩性沉积体的应用效果较好,并与钻井结果相吻合,因此该技术能够识别断裂构造和岩性沉积体等地质体,可作为一种综合解释的新技术加以应用。
Based on the principle of seismic structural properties,we elaborate in this paper the definition and characteristics of grey level co-occurrence matrix(GLCM),and propose calculation methods of seismic structural properties.Then we convert images of seismic wave to chromatic difference images with clear geological meanings(energy,entropy,contrast & homogeneity) to identify complex geological units.The application in west slope of Damintun Sag shows that faults can be identified by the contrast attribute,and lithological sedimentary bodies can be recognized by the entropy attribute.All this interpretation coincides very well with the drilling data.So the seismic structural properties analysis can be used in a joint interpretation as a new approach to identify fault systems and lithological sedimentary units.
引文
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