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
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;
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
DOI :
10.1109/ICCIS.2010.326
