摘要
储层微观结构的非均质性影响其各项物性。为了研究富有机质泥页岩储层微观结构非均质性,充分利用岩石薄片数据,矿物分层结构定量分类,本文基于图像处理矿物识别技术定量研究了页岩储层微观结构。结果表明,基于矿物含量的非均质性和纹理特征,可提取代表视域面积、相关性及熵等特征参数。主成分分析前两个主成分分量贡献率超过98%,可以形成一个定量描述页岩储层微观结构特征的二维向量。
The heterogeneity of the reservoir microstructure affects its physical properties.In order to study the heterogeneity of the microstructure of the organic rich shale reservoir,make full use of the rock slice data and the quantitative classification of the mineral layered structure,this paper quantitatively studies the shale reservoir microstructure based on the image processing mineral identification technology.The results show that based on the heterogeneity and texture features of mineral content,the characteristic parameters such as represents the area of view,correlation and entropy can be extracted.The contribution rate of the first two principal components of principal component analysis exceeds 98%,which can form a two-dimensional vector to quantitatively describe the microstructure characteristics of shale reservoir.
作者
荆玥
刘登科
JING Yue;LIU Dengke(Xi'an Jiaotong University,Xi'an Shaanxi 710000,China)
出处
《石油化工应用》
CAS
2022年第10期88-92,共5页
Petrochemical Industry Application
关键词
非均质性
纹理特征
代表视域面积
页岩
heterogeneity
texture features
represents the area of view
shale