应用模糊聚类分析方法评价油藏质量

doi:10.3863/j.issn.1000-2634.2004.03.009

西南石油大学学报(自然科学版) ›› 2004, Vol. 26 ›› Issue (3): 33-36.DOI: 10.3863/j.issn.1000-2634.2004.03.009

应用模糊聚类分析方法评价油藏质量

冯国庆¹张烈辉¹ 沈勇伟² 陈忠强³

(1.“油气藏地质及开发工程”国家重点实验室(西南石油学院),四川南充610500;2.新疆油气田分公司采油二厂地质所; 3.新疆石油管理局测井公司)

收稿日期:2003-04-28 修回日期:1900-01-01 出版日期:2004-06-20 发布日期:2004-06-20
通讯作者: 冯国庆

RESERVOIR QUALITY EVALUATION BY FUZZY CLUS-TERING ANALYSIS METHOD

FENG Guo-qing, ZHANG Lie-hui, SHEN Yong-wei,et al.

(Southwest Petroleum Institute, Chengdu Sichuan 610500, China)

Received:2003-04-28 Revised:1900-01-01 Online:2004-06-20 Published:2004-06-20
Contact: FENG Guo-qing

摘要/Abstract

摘要： 在油藏精细描述和小层储量复算基础上,应用模糊数学中的模糊聚类分析方法,选用了储量丰度、孔隙度、渗透率、平均孔隙半径以及反映油藏非均质特征变异系数、突进系数等参数,分单井、小层及沉积微相对H油藏的质量作了系统地分类评价。评价结果表明,H油藏的储层划分为四种类型,其中多数储层属于Ⅱ,Ⅲ类储层,储层质量较好。

关键词: 模糊聚类分析, 相似系数, 分类指标, 质量评价

Abstract: Based on result of the fine reservoir description and reserve calculation in H reservoir, with the application of fussy clustering analysis method, the quality of H reservoir is systematically evaluated according to single well, layers and sedimentary facies through the parameters such as reserve in per unit, porosity,permeability, average porous radius, variation coefficient and
mutation coefficient. The results show that H reservoir can be classified into four types and most layers belong to typeⅡandⅢ which the quality of reservoir is good.

Key words: fuzzy clustering analysis, similarity coeffi-cient, classifying index, evaluation of reservoir quality

中图分类号:

TE122

冯国庆张烈辉沈勇伟陈忠强. 应用模糊聚类分析方法评价油藏质量 [J]. 西南石油大学学报(自然科学版), 2004, 26(3): 33-36.

FENG Guo-qing;ZHANG Lie-hui;SHEN Yong-wei;et al.. RESERVOIR QUALITY EVALUATION BY FUZZY CLUS-TERING ANALYSIS METHOD[J]. 西南石油大学学报(自然科学版), 2004, 26(3): 33-36.

0
/ / 推荐

导出引用管理器 EndNote|Ris|BibTeX

链接本文: http://journal15.magtechjournal.com/Jwk_xnzk/CN/10.3863/j.issn.1000-2634.2004.03.009

http://journal15.magtechjournal.com/Jwk_xnzk/CN/Y2004/V26/I3/33

应用模糊聚类分析方法评价油藏质量

RESERVOIR QUALITY EVALUATION BY FUZZY CLUS-TERING ANALYSIS METHOD

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 1

编辑推荐

Metrics

本文评价