Application of Multiple Stepwise Regression to Influential Evaluation of Pore-Throat Size on Low-Permeability Sandstone Reservoirs
详细信息
- 责任者：Hu Zuowei (State Key Laboratory of Oil/Gas Reservoir Geology and Exploitation ; Institute of Sedimentary Geology ; Chengdu University of Technology ; Chengdu 610059 ; China) ; Huang Sijing
- 刊名：Journal of Guilin University of Technology
- 出版年：2013
- 卷期：33(1)
- 关键词：回归分析 ; regression analysis ; 孔隙度 ; porosity ; 砂岩储集层 ; sandstone reservoirs ; 低渗透储集层 ; low permeability reservoirs
- 页码：p.21-25
- 图表：illus., 1 table, 12 refs.
- 分类号：1003
- issnNo：ISSN1674-9057
- isbnNo：CN45-1375/N
摘要
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.
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