摘要
在岩心实验、物性实验、压汞实验、核磁共振实验等资料综合分析的基础上,结合测井资料、试采资料,对X区块主要目的层H2~H6层位储层特征及分类评价方法进行研究。研究表明,储层岩性以细砂岩为主,岩石成分以石英含量居多;储层以低孔低渗、特低孔低渗地层为主;孔隙结构中岩石孔隙喉道对储层渗流能力具有明显的控制作用,可动流体饱和度、可动流体孔隙度受储层物性的影响较大。根据储层特征,提出了孔渗关系图谱,用于描述地层流体分布特征与地层孔渗关系。应用K-means聚类分析的方法建立了储层分类评价标准,利用Fisher线性判别方法建立了储层类型判别函数,应用效果与测井资料符合程度高。储层分类方法可为寻找研究区相对优质的储层位置提供依据,为其他区块勘探提供指导。
Based on a comprehensive analysis of core experimental data,physical property data,mercury injection experiment data and nuclear magnetic resonance experiment data,well logging data and test data to implement further study of deep gas reservoir characteristics and the classification evaluation in H2 ~ H6 formation of X block were combed with. The research shows that the lithology of target area is mainly fine sandstone and petrological type is mainly quartz sandstone,and the target zone belongs to low and extra-low porosity and permeability reservoir.Pore throat structure has significant controlling effect on reservoir percolation ability. Movable fluid saturation and movable fluid porosity are greatly influenced by the reservoir physical property. Poroperm relationship graph according is presented to the characteristics of reservoir,which can be used to describe the characteristics of formation fluid distribution and poroperm relationship. K-means cluster analysis method is applied to establish the reservoir classification evaluation standards,and Fisher linear discriminant method is used to establish the discriminant function of reservoir type,and the application results are in accordance with logging data. The reservoir classification method can provide effective basis in exploring relatively high quality reservoirs location in the study area and provide effective reference for other blocks.
作者
姜艳娇
孙建孟
高建申
张国栋
闫伟超
张洪盼
JIANG Yan-jiao SUN Jian-meng GAO Jian-shen ZHANG Guo-dong YAN Wei-chao ZHANG Hong-pan(School of Geosciences, China University of Petroleum , Qingdao 266580 , P. R. China CNOOC China Limited-Shanghai , Shanghai 200030, P. R. China)
出处
《科学技术与工程》
北大核心
2017年第10期164-172,共9页
Science Technology and Engineering
基金
国家自然科学基金(NO.41374124)资助
关键词
低孔渗气藏
储层特征
孔渗关系模式
K-MEANS聚类
储层分类评价
low porosity and low permeability gas reservoir
reservoir characteristics
porosity-permeability relationship model
K-means cluster
classification and evaluation
