基于CT图像的孔隙结构参数提取算法改进  

Improvement of Pore Structure Parameter Extraction Algorithm Based on CT Images

作　　者：姜黎明 赵强先[1] 李兵 蔡成定 冀昆[1,2] 闫国亮 

机构地区：[1]中国石油集团测井有限公司,陕西西安710077 [2]中国石油天然气集团公司测井重点实验室,陕西西安710077 [3]中国石油勘探开发研究院西北分院,甘肃兰州730020

出　　处：《测井技术》2017年第5期517-522,共6页Well Logging Technology

基　　金：中国石油股份公司重大科技专项(2014E-3205);国家科技重大专项(2017ZX05019001-002)

摘　　要：对岩石三维复杂孔隙结构进行定量表征最新的方法是基于三维数字岩心,通过提取微观孔隙空间的孔隙网络模型进行定量表征。目前常用的方法是最大球算法,但该算法确定的孔隙长度偏大而喉道长度偏小,间接影响其他孔隙和喉道参数的确定。针对遇到的问题,在最大球算法的基础上通过引入图形几何变换和判别分析2项关键算法,实现了孔隙、喉道的合理划分,准确提取岩石的孔径分布。与核磁共振T2谱转换的岩石孔径分布对比表明,改进的最大球算法能够准确地提取岩石的孔径分布。Quantitative characterization of pore network model extracting microscopic pore space is the newest ways of quantitative characterization of rock three-dimensional complex pore structure. The usual method is the largest ball algorithm. But the length of the hole is too large and the throat length is too small. That would influence the determination of pore and throat parameters. For this problem, two key algorithms for geometric transformation and discriminant analysis was introduced in this paper. And it achieves a reasonable division of the pores and throats and pore size distribution. Compared with rock pore size distribution from nuclear magnetic T2 spectrum conversion, the improved maximum ball algorithm can accurately extract the pore size distribution of the rock.

关 键 词：三维数字岩心 CT扫描 孔隙结构 最大球算法 孔径分布 

分 类 号：P631.84[天文地球—地质矿产勘探]