摘要
储层分类是油气勘探开发研究的重要内容之一,目前致密砂岩储层在低孔低渗储层占有很大比例,因此研究致密砂岩储层分类具有重要意义。本文结合四川川西新场地区须家河组致密砂岩储层的特点,综合考虑多种参数,选用孔隙度、渗透率、流动带指数aFZI、泥质含量作为储层特征参数,采用K-means聚类方法将储层分为5大类,并在此基础上,通过对比判别分析和决策树判别准确率,采用决策树方法建立储层分类的定量评价模式。实际资料证明,决策树具有更好的效果,提高了储层分类评价的效果。
Reservoir classification is one of the important parts of the study involving oil and gas exploration and development. Engineering data indicate that reserves of tight sandstone reservoir account for a large proportion of the total reserves in low permeability reservoirs, therefore it is meaningful to work on the tight sandstone reservoir classification. Considering the specialty and various kinds of parameters of the tight sandstone gas field of Xinchang Xu-2 formation in the west part of Sichuan Province, the four parameters, that is, porosity, permeability, flow unit, and shale content are selected as reservoir parameters, and the K-means clustering method is used to divide the formations into five categories. On basis of this, by comparing the accuracy of the discriminant analysis with that of decision tree, the decision tree classification method is used to build the quantitative evaluation of the reservoir model. It is proved by the actual data that decision tree has a better result for enhancing the effect of reservoir classification and evaluation.
出处
《科技导报》
CAS
CSCD
北大核心
2011年第24期47-50,共4页
Science & Technology Review
基金
"十二五"国家科技重大专项(20112X05008-004)
关键词
储层分类评价
聚类分析
决策树
reservoir classification and evaluation
cluster analysis
decision tree
