摘要
利用灰色系统理论对储层进行综合评价。首先采用谱系聚类分析方法,选择相对独立的评价参数,从9个参数中选择6个用于储层综合评价,分别是:砂岩厚度、砂地比、泥质含量、变异系数、孔隙度、渗透率。并用灰色系统理论关联分析法,确定各参数的权系数。在计算储层综合评价指标值的基础上,采用拐点法确定储层综合评价的分类阈值,进而对鄂尔多斯盆地中西部地区长6油层组进行储层综合定量评价,取得较好效果。其中,三角洲前缘水下分流河道主体以Ⅰ类、Ⅱ类储层为主,三角洲前缘水下分流河道侧翼以Ⅲ类储层为主。
The Grey System Theory is applied on reservoir evaluation. Firstly, the pedigree cluster analysis is used to choose relatively independent parameters. For reservoir evaluation, 6 parameters, including thickness of sandstone, ratio of sand body, shale content, variation coefficient, porosity and permeability, are selected from 9 parameters of reservoir. At the meantime, the Grey System Theory correlation analysis is applied to confirm various weight coefficients. Based on the calculation of reservoir comprehensive evaluating values, critical point analysis is used to determine the threshold value of comprehensive reservoir evaluation. The comprehensive reservoir quantitative evaluation is conducted on Chang-6 oil-bearing layers in the Midwest Ordos Basin. The submersed distributary channel sand bodies of delta front are mainly Type Ⅰ and Type Ⅱ , and the submersed distributary channel wings are mainly Type Ⅲ.
出处
《石油实验地质》
CAS
CSCD
北大核心
2010年第5期415-419,共5页
Petroleum Geology & Experiment
基金
国家科技重大专项(2008ZX05001-004)资助
关键词
灰色系统
权系数
长6油层组
储层评价
鄂尔多斯盆地
Grey System
weight coefficient
Chang-6 oil-bearing layers
reservoir evaluation
Ordos Basin