测井技术2017，Vol.41Issue(5)：517-522,6.DOI:10.16489/j.issn.1004-1338.2017.05.004
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
摘要
Abstract
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Key words
three-dimensional digital core/CT scan/pore structure/maximum ball algorithm/pore size distribution分类
天文与地球科学引用本文复制引用
姜黎明,赵强先,李兵,蔡成定,冀昆,闫国亮..基于CT图像的孔隙结构参数提取算法改进[J].测井技术,2017,41(5):517-522,6.基金项目
中国石油股份公司重大科技专项(2014E-3205) （2014E-3205）
国家科技重大专项(2017ZX05019001-002) （2017ZX05019001-002）
