储层岩石微观孔隙结构特征及其对渗透率影响  

Characterization of Microscopic Pore Structure of Reservoir Rock and Its Effect on Permeability

作　　者：闫国亮 孙建孟 刘学锋 姜黎明 

机构地区：[1]中国石油大学地球科学与技术学院,山东青岛266580 [2]中国石油大学理学院,山东青岛266580 [3]中国石油集团测井有限公司技术中心,陕西西安710077

出　　处：《测井技术》2014年第1期28-32,共5页Well Logging Technology

基　　金：国家科技重大专项项目(2011ZX05014-004-002HZ);山东省自然科学基金(ZR2012DQ007)联合资助

摘　　要：基于数字岩心研究储层岩石微观孔隙结构特征及其对渗透率的影响规律。以某地区砂岩岩心二维薄片为基础,应用过程模拟法重建数字岩心,利用改进的最大球算法提取数字岩心的孔隙网络模型并进行孔隙结构定量表征。运用逾渗理论计算孔隙网络模型的渗透率,分析孔隙结构和渗透率关系。模拟结果表明孔隙半径特征值、喉道半径特征值与渗透率之间的关系均可用Logistic函数描述,且喉道半径对储层渗透率的影响程度大于孔隙半径对其的影响。This paper studies the characterization of micro-pore structure and its effect on permeability of reservoir rock based on digital cores. The author uses petrographical information obtained from 2D thin section of sandstone to reconstruct the digital cores with process-based method, and then the permeability is determined by solving a topologically equivalent network which is extracted from the digital cores using modified maximal ball algorithm. The characteristics of the digital cores and the relationship between the permeability and pore structure are studied by percolation theory. The simulation results show that the relationship between pore radius eigenvalue, throat radius eigenvalue and permeability can be described with the Logistic function. The throat radius eigenvalue has greater effect on the permeability than pore radius.

关 键 词：数字岩心 过程模拟法 孔隙网络模型 渗透率 改进的最大球算法 

分 类 号：P631.84[天文地球—地质矿产勘探]