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改进多元线性回归模型在某油田产量预测中的应用
引用本文:国亮.改进多元线性回归模型在某油田产量预测中的应用[J].西安电子科技大学学报(社会科学版),2009,19(3):71-75.
作者姓名:国亮
作者单位:西北农林科技大学,经管学院,陕西,杨凌,712100;西安工业大学,经管学院,陕西,西安,710032
摘    要:为了预测油田的动态产量,根据实际工作经验选择一些与油田产量有关的因素作为建模变量,通过对多个变量的综合回归分析,确定影响油田产量的重要因素,并建立适合某油田年产量预测的多元线性回归模型。分析回归参数求解过程中的重要信息,并建立了年产油量的改进回归预测模型。同时,将两种预测模型应用于某油田产量预测,通过比较,可以看出改进回归模型形式更加简单,预测结果更准确。

关 键 词:油田产量  回归模型  改进回归模型  预测

Application of Improved Multivariate Linear Regression to Output Prediction of an Oilfield
GUO LIANG.Application of Improved Multivariate Linear Regression to Output Prediction of an Oilfield[J].Journal of Xidian University (Social Sciences Edition),2009,19(3):71-75.
Authors:GUO LIANG
Institution:GUO LIANG(1.College of Economics and Management, Northwest A&F University, Yangling, 712100, China;2. School of Economics and Management, Xi' an Technological University, Xi'an, 710032, China)
Abstract:In order to predict the dynamic output of an oilfield, some relevant factors with oil output are chosen on the basis of actual manufacturing experience. The forecast model of an oilfield is built according to the important factors influencing oilfield output which are obtained from synthetical regression analysis. The improved regression model for predicting annual output of an oilfield is built up by analyzing the statistic and the important information from the regression parameters. Meanwhile, the two forecast models are used to predict the output of an oilfield. The improved regression model is better by comparing the results.
Keywords:Oilfield output  Regression Mode  Improved Regression Model  Predict
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