Modeling of the density of mixtures of Athabasca bitumen and a high boiling n-alkane |
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Authors: | Hasan Tavakoli Ashkan Khoshkharam Jafar Sasanipour |
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Affiliation: | 1. Department of Electrical Engineering, Tehran University of Shahed, Tehran, Iran;2. Department of Gas Engineering, Ahwaz Faculty of Petroleum Engineering, Petroleum University of Technology (PUT), Ahwaz, Iran |
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Abstract: | Recent studies revealed the more availability of heavy oil resources, such as bitumen than other types. So, the injection of solvents such as tetradecane with the aim of diluting bitumen is applied as an enhanced oil recovery (EOR) method for such reservoirs. This study has investigated the prediction of density for Athabasca bitumen–tetradecane mixture, under different temperature, pressure, and solvent's weight percent conditions, using a radial basis function neural network (RBF-NN) technique. Results were then compared with experimental values and values reported based on the previous correlation. MSE and R2 values were 0.10496 and 1.00, respectively. Thus, this proposed model has been introduced as a very appropriate model for density prediction of bitumen–tetradecane mixture. |
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Keywords: | ANN Athabasca bitumen density enhanced oil recovery RBF tetradecane |
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