桂林理工大学学报2013，Vol.33Issue(1)：21-25,5.DOI:10.3969/j.issn.1674-9057.2013.01.004
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
Application of Multiple Stepwise Regression to Influential Evaluation of Pore-Throat Size on Low-Permeability Sandstone Reservoirs
摘要
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 lowpermeability 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.In (permeability) =10.781 + 9.614 × variation coefficient -0.341 × texture coefficient-1.007 × mean pore-throat (b) (r =0.973),this equation indicates that the variation coefficient,texture coefficient and mean pore-throat (φ) are the most important factors to the permeability of the low-permeability sandstone reservoirs.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Key words
multiple stepwise regression/ porosity model/ permeability model/ pore-throat size/ low-permeability sandstone/ reservoir quality分类
天文与地球科学引用本文复制引用
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].桂林理工大学学报,2013,33(1):21-25,5.基金项目
国家科技重大专项项目(2008ZX05001-004-03) （2008ZX05001-004-03）
成都理工大学中青年骨干教师培养计划项目(KYGG201208) （KYGG201208）
