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多元逐步回归分析在评价孔隙结构对低渗透砂岩储层质量影响中的应用
引用本文:胡作维,黄思静,王冬焕,马永坤,李小宁.多元逐步回归分析在评价孔隙结构对低渗透砂岩储层质量影响中的应用[J].桂林工学院学报,2013(1):21-25.
作者姓名:胡作维  黄思静  王冬焕  马永坤  李小宁
作者单位:[1]成都理工大学油气藏地质及开发工程国家重点实验室,成都610059 [2]成都理工大学沉积地质研究院,成都610059
基金项目:国家科技重大专项项目(2008ZX05001-004-03); 成都理工大学中青年骨干教师培养计划项目(KYGG201208)
摘    要:以鄂尔多斯盆地姬塬地区长2油层组低渗透砂岩储层实际数据为例,利用多元逐步回归分析方法建立了孔隙结构对低渗透砂岩储层孔隙度、渗透率影响的多元回归模型。计算结果表明:孔隙度=18.578-2.897×排驱压力-0.376×结构系数(r=0.739),反映了排驱压力、结构系数是影响低渗透砂岩储层孔隙度的主要孔隙结构因素;ln(渗透率)=10.781+9.614×变异系数-0.341×结构系数-1.007×孔喉均值(φ)(r=0.973),反映了变异系数、结构系数、孔喉均值(φ)是影响低渗透砂岩储层渗透率的最主要孔隙结构因素。

关 键 词:多元逐步回归  孔隙度模型  渗透率模型  孔隙结构  低渗透砂岩  储层质量

Application of Multiple Stepwise Regression to Influential Evaluation of Pore-Throat Size on Low-Permeability Sandstone Reservoirs
HU Zuo-wei,HUANG Si-jing,WANG Dong-huan,MA Yong-kun,LI Xiao-ning.Application of Multiple Stepwise Regression to Influential Evaluation of Pore-Throat Size on Low-Permeability Sandstone Reservoirs[J].Journal of Guilin University of Technology,2013(1):21-25.
Authors:HU Zuo-wei  HUANG Si-jing  WANG Dong-huan  MA Yong-kun  LI Xiao-ning
Affiliation:(a.State Key Laboratory of Oil/Gas Reservoir Geology and Exploitation;b.Institute of Sedimentary Geology,Chengdu University of Technology,Chengdu610059,China)
Abstract:Based on the data from the low-permeability sandstone reservoirs of the Chang 2 oil-bearing bed from Jiyuan of Ordos Basin,the multiple stepwise regression analysis method is used to establish two multiple regression equations in the influential evaluation of the pore-throat sizes on the porosity and permeability of the low-permeability sandstone reservoirs:porosity=18.578-2.897×entry pressure-0.376×texture coefficient(r=0.739).This equation indicates that the entry pressure and texture coefficient are important factors to the porosity of the low-permeability sandstone reservoirs.ln(permeability)=10.781+9.614×variation coefficient-0.341×texture coefficient-1.007×mean pore-throat()(r=0.973),this equation indicates that the variation coefficient,texture coefficient and mean pore-throat() are the most important factors to the permeability of the low-permeability sandstone reservoirs.
Keywords:multiple stepwise regression  porosity model  permeability model  pore-throat size  low-permeability sandstone  reservoir quality
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