计算机工程2011，Vol.37Issue(13)：178-180,3.DOI:10.3969/j.issn.1000-3428.2011.13.057
一种用于储层含油性识别的蚁群聚类算法
Ant Colony Clustering Algorithm for Oil-bearing of Reservoir Recognition
摘要
Abstract
Aiming to the complexity and uncertainty of oil-bearing of reservoir recognition, this paper proposes an improved ant colony clustering algorithm.It sets the category of reservoir as a variable, uses Jaccard index to measure the coincidence between clustering result and the given conclusion.The clustering compactness is evaluated by the virtue of the variance between the samples and the center in a cluster, and the optimal partition is achieved by means of the improved ant colony clustering algorithm.Experimental result indicates that the coincidence between the clustering result and the given logging interpretation is high and so is the coincidence in all clusters, so that the algorithm has preferable predictability and inspection capability.关键词
软计算/蚁群算法/储层含油性识别/聚类/Jaccard系数Key words
soft computing/ ant colony algorithm/ oil-bearing of reservoir recognition/ clustering/ Jaccard index分类
信息技术与安全科学引用本文复制引用
袁可红,李艳晓,郭海湘,诸克军..一种用于储层含油性识别的蚁群聚类算法[J].计算机工程,2011,37(13):178-180,3.基金项目
国家自然科学基金资助项目(70573101) （70573101）
高等学校博士学科点专项科研基金资助项目(20070491011) （20070491011）
中国博士后基金资助项目(20090461293) （20090461293）
中央高校基本科研业务费基金资助项目(CUG090113) （CUG090113）
中国地质大学(武汉)资源环境经济研究中心开放基金资助项目(200913012) （武汉）
