Development of PVT correlation for Iraqi crude oils using artificial neural network
Joint Authors
Zaki, Nada S. Ahmad
Rida, Iqdam M.
Ali, Yazan M.
Abd al-Wahhab, Zaynab T.
Source
Iraqi Journal of Chemical and Petroleum Engineering
Issue
Vol. 13, Issue 3 (30 Sep. 2012), pp.9-16, 8 p.
Publisher
University of Baghdad College of Engineering
Publication Date
2012-09-30
Country of Publication
Iraq
No. of Pages
8
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Topics
Abstract EN
Several correlations have been proposed for bubble point pressure, however, the correlations could not predict bubble point pressure accurately over the wide range of operating conditions.
This study presents Artificial Neural Network (ANN) model for predicting the bubble point pressure especially for oil fields in Iraq.
The most affecting parameters were used as the input layer to the network.
Those were reservoir temperature, oil gravity, solution gas-oil ratio and gas relative density.
The model was developed using 104 real data points collected from Iraqi reservoirs.
The data was divided into two groups : the first was used to train the ANN model, and the second was used to test the model to evaluate their accuracy and trend stability.
Trend test was performed to ensure that the developed model would follow the physical laws.
Results show that the developed model outperforms the published correlations in term of absolute average percent relative error of 6.5 %, and correlation coefficient of 96 %.
American Psychological Association (APA)
Zaki, Nada S. Ahmad& Rida, Iqdam M.& Ali, Yazan M.& Abd al-Wahhab, Zaynab T.. 2012. Development of PVT correlation for Iraqi crude oils using artificial neural network. Iraqi Journal of Chemical and Petroleum Engineering،Vol. 13, no. 3, pp.9-16.
https://search.emarefa.net/detail/BIM-316542
Modern Language Association (MLA)
Zaki, Nada S. Ahmad…[et al.]. Development of PVT correlation for Iraqi crude oils using artificial neural network. Iraqi Journal of Chemical and Petroleum Engineering Vol. 13, no. 3 (Sep. 2012), pp.9-16.
https://search.emarefa.net/detail/BIM-316542
American Medical Association (AMA)
Zaki, Nada S. Ahmad& Rida, Iqdam M.& Ali, Yazan M.& Abd al-Wahhab, Zaynab T.. Development of PVT correlation for Iraqi crude oils using artificial neural network. Iraqi Journal of Chemical and Petroleum Engineering. 2012. Vol. 13, no. 3, pp.9-16.
https://search.emarefa.net/detail/BIM-316542
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 15-16
Record ID
BIM-316542