| 1 |
Dew point pressure prediction based on mixed-kernels-function support vector machine in gas-condensate reservoir
Zhong Z, Liu SY, Kazemi M, Carr TR
Fuel, 232, 600, 2018 |
| 2 |
Phase behavior modeling for gas condensate fluids with PC-SAFT and an improved binary interaction coefficient model
Khoshnamvand Y, Assareh M, Davoudi BM
Fluid Phase Equilibria, 444, 37, 2017 |
| 3 |
Challenges of Fluid Phase Behavior Modeling in Iranian Retrograde Gas Condensate Reservoirs
Nasriani HR, Asadi E, Nasiri M, Khajenoori L, Masihi M
Energy Sources Part A-recovery Utilization and Environmental Effects, 37(6), 663, 2015 |
| 4 |
Determination of dew point pressure in gas condensate reservoirs based on a hybrid neural genetic algorithm
Rabiei A, Sayyad H, Riazi M, Hashemi A
Fluid Phase Equilibria, 387, 38, 2015 |
| 5 |
Evolving an accurate model based on machine learning approach for prediction of dew-point pressure in gas condensate reservoirs
Majidi SMJ, Shokrollahi A, Arabloo M, Mahdikhani-Soleymanloo R, Masihi M
Chemical Engineering Research & Design, 92(5), 891, 2014 |
| 6 |
Evolving smart approach for determination dew point pressure through condensate gas reservoirs
Ahmadi MA, Ebadi M
Fuel, 117, 1074, 2014 |
| 7 |
Evolving predictive model to determine condensate-to-gas ratio in retrograded condensate gas reservoirs
Ahmadi MA, Ebadi M, Marghmaleki PS, Fouladi MM
Fuel, 124, 241, 2014 |
| 8 |
Prediction of phase equilibrium of CO2/cyclic compound binary mixtures using a rigorous modeling approach
Mesbah M, Soroush E, Shokrollahi A, Bahadori A
Journal of Supercritical Fluids, 90, 110, 2014 |
| 9 |
Phase behavior and compressibility factor of two China gas condensate samples at pressures up to 95 MPa
Liu H, Sun CY, Yan KL, Ma QL, Wang J, Chen GJ, Xiao XJ, Wang HY, Zheng XT, Li S
Fluid Phase Equilibria, 337, 363, 2013 |
| 10 |
Investigating vapor-liquid equilibria of binary mixtures containing supercritical or near-critical carbon dioxide and a cyclic compound using cascade neural network
Lashkarbolooki M, Vaferi B, Shariati A, Hezave AZ
Fluid Phase Equilibria, 343, 24, 2013 |
