重庆理工大学学报（自然科学版）2017，Vol.31Issue(1)：53-57,5.DOI:10.3969/j.issn.1674-8425(z).2017.01.009
基于多元线性回归模型的油井来水方向识别
Identification of the Watered-out Direction of a Producing Well Based on Multiple Linear Regression Model
摘要
Abstract
Continental reservoirs are mostly areal heterogeneity reservoir in China.The injection water is easy to form preponderance flow path in the oil well,which results in water flooding.So judging watered-out direction of producing well to reduce the invalid water injection efficiency by profile control is necessary.Using the theory of multiple linear regression to establish multivariate linear regression model between oil and water,based on well 1-11 of D oilfield,and using SPSS software to solve model,it proves that the regression model is effective.Finally find out the mainly the Watered-out Direction of well 1-11 are 2-11GIII,2-12GIII,2-12GI,1-13GIII,2-14GIV,2-14GI.This method is convenient and efficient which can provides the reference for the selection of profile control wells and layer.关键词
回归模型/相关性/井间连通性/注水开发Key words
regression model/correlation/interwell communication/water flooding分类
能源科技引用本文复制引用
刘柱,刘音颂,董驰,曲文驰,柏明星..基于多元线性回归模型的油井来水方向识别[J].重庆理工大学学报（自然科学版）,2017,31(1):53-57,5.基金项目
中国石油科技创新基金资助项目(2015D-5006-0202) （2015D-5006-0202）
