Application of Improved Multiple Linear Regression Method in Oilfield Output Forecasting

被引：3

作者：

Guo, Liang ^{[1
]}

Deng, Xianghui ^{[2
]}

机构：

[1] Xian Technol Univ, Dept Econ & Management, Xian, Peoples R China

[2] Xian Technol Univ, Dept Civil Engn, Xian, Peoples R China

来源：

2009 INTERNATIONAL CONFERENCE ON INFORMATION MANAGEMENT, INNOVATION MANAGEMENT AND INDUSTRIAL ENGINEERING, VOL 1, PROCEEDINGS | 2009年

关键词：

oilfield output; regression model; improved regression model; predict;

D O I：

10.1109/ICIII.2009.39

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In order to predict the dynamic output of an oilfield, some relevant factors with oil output are chosen on the basis of actual manufacture experience. The forecast model of linear regression analysis for an oilfield is built according to the important factors of influencing oilfield output which is obtained with the synthetic regression analysis. The improved regression model for predicting annual output of an oilfield is built up by analyzing the statistic information in the solving process of regression parameters. Meanwhile, the two forecast models are used to predict the output of an oilfield. The improved multiple linear regression model is better than the multiple linear regression model in the forecast accuracy of the oilfield output.

引用

页码：133 / +

页数：2

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