基于地震纹理属性和模糊聚类划分地震相

Seismic facies classification based on seismic texture attributes and fuzzy clustering

基于地震纹理属性和模糊聚类划分地震相技术是一种属性综合聚类方法,因此选取何种参数(即输入属性体的类型、聚类或分类方法、地震相的地质意义解释等因素)描述地震相的地震反射特征是决定该类方法特点和应用效果的主要因素。本文联合应用模糊C均值聚类与地震纹理属性实现地震相的自动划分,针对三维地震数据体,该法为每个数据点在其三维邻域空间内从不同方向提取多种代表该点的地震纹理属性的特征参数,然后利用模糊C均值聚类方法对获取的特征参数集进行自动划分,从而确定每个数据点所属的相带。实际应用结果表明,该法的地震划相效果理想,与钻井结果基本吻合。

Seismic facies classification technology based on seismic texture attributes and fuzzy clustering is an attributes clustering method.Therefore,parameters to be selected(the type of input attributes,the method of clustering or classification,the interpretation of seismic facies geological significance,and so on)to describe the reflection characteristics of seismic facies are main factors to determine technical characteristics and application results of the methods.The paper combines the fuzzy C-means clustering algorithm and the seismic texture attribute to achieve the automatic seismic facies classification.For each point in 3Dseismic data volume,we extract seismic textual features from different directions in its neighborhood,and then divide seismic facies using the fuzzy C-means clustering method based on the attributes,so as to determine the facies which each point belongs to.The practical application results show that the algorithm is effective,and consistent well with the drilling results.