Title :
Using nonlinear regression method in oil production prediction
Author :
Zhengshun, Sun ; Fan, Dong
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
Abstract :
Weng´s cycle model is a typical oil production prediction model. Traditionally a linear regression method is used to simulate the model. It brings some limitation on the regression accuracy so in this paper we use nonlinear regression instead of linear regression. The new method is used in an oil production field and good results are obtained
Keywords :
forecasting theory; natural resources; statistical analysis; Weng´s cycle model; nonlinear regression method; oil production prediction; regression accuracy; Cities and towns; Linear regression; Petroleum; Predictive models; Production; Sun;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.862968
