Research Management System | Persian Gulf University |

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	Title	Journal
1	Application of Artificial Neural Network–Particle Swarm Optimization Algorithm for Prediction of Gas Condensate Dew Point Pressure and Comparison With Gaussian Processes Regression–Particle Swarm Optimization Algorithm	JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME (2016) ،
2	Prediction of Wax Precipitation in Crude Oil Systems Using Gaussian Processes	Energy Sources Part A-Recovery Utilization and Environmental Effects (2015) ،
3	Application of Artificial Neural Network-Particle Swarm Optimization Algorithm for Prediction of Asphaltene Precipitation During Gas Injection Process and Comparison With Gaussian Process Algorithm	JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME (2015) ،
4	The Association Thermodynamics Modeling of Asphaltene Precipitation	PETROLEUM SCIENCE AND TECHNOLOGY (2014) 51،60
5	Application of evolutionary Gaussian processes regression by particle swarm optimization for prediction of dew point pressure in gas condensate reservoirs	NEURAL COMPUTING & APPLICATIONS (2014) ،
6	Application of hybrid neural particle swarm optimization algorithm for prediction of MMP	FUEL (2014) ،
7	A New Support Vector Machine and Artificial Neural Networks for Prediction of Stuck Pipe in Drilling of Oil Fields	JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME (2014) ،
8	New method for prediction and solving the problem of drilling fluid loss using modular neural network and particle swarm optimization algorithm	Petroleum Exploration and Production Technology (2014) ،
9	An Experimental Calculation of Asphaltene Critical Properties in Crude Oil Reservoir Systems	PETROLEUM SCIENCE AND TECHNOLOGY (2013) 1797،1811
10	Developing a Scaling Equation as a Function of Pressure and Temperature to Determine the Amount of Asphaltene Precipitation	PETROLEUM SCIENCE AND TECHNOLOGY (2013) ،
11	Prediction of Asphaltene Precipitation in Live and Tank Crude Oil Using Gaussian Process Regression	PETROLEUM SCIENCE AND TECHNOLOGY (2013) 913،922

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