DocumentCode
2467732
Title
Application of Neural Network in Predicting Volume Ratio of Gas and Oil
Author
Geng, Xinyu ; Chen, Xuxue ; Wang, Yang
Author_Institution
Southwest Pet. Univ., Chengdu, China
fYear
2010
fDate
17-19 Dec. 2010
Firstpage
1319
Lastpage
1321
Abstract
The improved fuzzy neural network method was applied to predict the gas-oil volume ratio in crude oil in this paper. Through verification of measured value of the Daqing oilfield, the results showed that this method was accurate and reliable, hence it may provide an important reference for the prediction of gas-oil volume ratio in crude oil.
Keywords
crude oil; fuzzy neural nets; petroleum industry; Daqing oilfield; crude oil; fuzzy neural network; gas-oil volume ratio; Accuracy; Artificial neural networks; Fuzzy neural networks; Gravity; Petroleum; Training; Volume measurement; Artificial Neural Network; Gas-oil; Prediction;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational and Information Sciences (ICCIS), 2010 International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-8814-8
Electronic_ISBN
978-0-7695-4270-6
Type
conf
DOI
10.1109/ICCIS.2010.326
Filename
5709526
Link To Document