Modelling of Crude Oil Bubble Point Pressure and Bubble Point Oil Formation Volume Factor Using Artificial Neural Network (ANN)
Crude oil properties data were gathered from publications for modeling correlations and artificial neural networks (ANN), which could be used to predict bubble point pressure and bubble point oil formation volume factor. The data sets were screened for redundant data. Each data set was selected rand...
Main Authors: | W. Cuptasanti, F. Torabib, C. Saiwan |
---|---|
Format: | Article |
Language: | English |
Published: |
AIDIC Servizi S.r.l.
2013-09-01
|
Series: | Chemical Engineering Transactions |
Online Access: | https://www.cetjournal.it/index.php/cet/article/view/6165 |
Similar Items
-
Development of an artificial neural network model for prediction of bubble point pressure of crude oils
by: Aref Hashemi Fath, et al.
Published: (2018-09-01) -
Toward connectionist model for predicting bubble point pressure of crude oils: Application of artificial intelligence
by: Mohammad Ali Ahmadi, et al.
Published: (2015-12-01) -
TOWARD PREDICTIVE MODELS FOR ESTIMATION OF BUBBLE-POINT PRESSURE AND FORMATION VOLUME FACTOR OF CRUDE OIL USING AN INTELLIGENT APPROACH
by: D. Abooali, et al. -
CORRELATION FOR SOLUTION GAS -OIL RATIO OF IRAQI OILS AT PRESSURES BELOW THE BUBBLE POINT PRESSURE
by: Omar F. Hassan
Published: (2011-06-01) -
Transparent open-box learning network and artificial neural network predictions of bubble-point pressure compared
by: David A. Wood, et al.
Published: (2020-12-01)