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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
Toward a predictive model for estimating dew point pressure in gas condensate systems
Fuel Processing Technology, Volume 116, Year 2013
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Description
Dew-point pressure is one of the most important quantities for characterizing and successful prediction of the future performance of gas condensate reservoirs. The objective of this study is to present a reliable, computer-based predictive model for prediction of dew-point pressure in gas condensate reservoirs. An intelligent approach based on least square support vector machine (LSSVM) modeling was developed for this purpose. To this end, the model was developed and tested using a total set of 562 experimental data points from different retrograde gas condensate fluids covering a wide range of variables. Coupled simulated annealing (CSA) was employed for optimization of hyper-parameters of the model. The results showed that the developed model significantly outperforms all the existing methods and provide predictions in acceptable agreement with experimental data. In addition, it is shown that the proposed model is capable of simulating the actual physical trend of the dew-point pressure versus temperature for a constant composition fluid on the phase envelope. © 2013 Elsevier B.V.
Authors & Co-Authors
Arabloo, Milad
Iran, Tehran
Sharif University of Technology
Shokrollahi, Amin
Iran, Tehran
Sharif University of Technology
Gharagheizi, Farhad
South Africa, Durban
University of Kwazulu-natal
Iran, Tehran
Islamic Azad University
Mohammadi, Amir H.
South Africa, Durban
University of Kwazulu-natal
France, Paris
Institut de Recherche en Génie Chimique et Pétrolier Irgcp
Statistics
Citations: 81
Authors: 4
Affiliations: 4
Identifiers
Doi:
10.1016/j.fuproc.2013.07.005