测井技术2017，Vol.41Issue(1)：98-103,6.DOI:10.16489/j.issn.1004-1338.2017.01.017
基于K-均质聚类分析超低渗透率储层分类研究
Classification of Ultra-low Permeability Reservoirs Based on K-mean Cluster Analysis
许君玉 1许新 2李远钦1
作者信息
- 1. 中国石化石油勘探开发研究院,北京100083
- 2. 北京市海淀区职业介绍服务中心,北京100195
- 折叠
摘要
Abstract
The basic principle of K-mean cluster analysis is introduced.The cluster analysis and evalution method is given.The program is written and the Yingcheng reservoirs in southern Songliao basin as an example are classified.In the reservoirs classification and evaluation standard parameters,based on laboratory analysis data,choiced are porosity and peremilability which reflecting rock macroscopic physical properties,and displacement pressure which reflecting rock productivity,and average pore radius which reflecting rock microscopic pore structures.Based on standard parameters,the reservoirs are classified as 4 types:super-low permeability,ultra-low Ⅰ type permeability,ultra-low Ⅱ type permeability and impervious formation.The result shows that ultra-low permeability reservoirs are the main reservoir in the area.This method can be used not only in the classification of the reservoirs,but also in the identification of rocks.关键词
测井评价/K-均值聚类分析/标准参数/储层分类/超低渗Key words
log evaluation/K-mean cluster analysis/standard parameter/reservoir classification/ultra-low permeability分类
天文与地球科学引用本文复制引用
许君玉,许新,李远钦..基于K-均质聚类分析超低渗透率储层分类研究[J].测井技术,2017,41(1):98-103,6.
