Nima Mohamadian

Determination of bubble point pressure & oil formation volume factor of crude oils applying multiple hidden layers extreme learning machine algorithms

Jamshid Moghadasi, Hamzeh Ghorbani, Mohammad Mehrad, 2021, Journal of Petroleum Science and Engineering.

Hybrid machine learning algorithms to predict condensate viscosity in the near wellbore regions of gas condensate reservoirs

Khalil Shahbazi, Hamzeh Ghorbani, David A. Wood, 2021 .

Hybrid computing models to predict oil formation volume factor using multilayer perceptron algorithm

Jamshid Moghadasi, Hamzeh Ghorbani, Nima Mohamadian, 2021 .

Prediction of oil flow rate through orifice flow meters: Optimized machine-learning techniques

Mohammad Farsi, Hamzeh Ghorbani, David A. Wood, 2021 .

Comparison of accuracy and computational performance between the machine learning algorithms for rate of penetration in directional drilling well

Jamshid Moghadasi, Hamzeh Ghorbani, Nima Mohamadian, 2021 .

Prediction of Bubble Point Pressure Using New Hybrid Computationail Intelligence Models

Jamshid Moghadasi, Hamzeh Ghorbani, Nima Mohamadian, 2021 .

Robust hybrid machine learning algorithms for gas flow rates prediction through wellhead chokes in gas condensate fields

Hamid Reza Nasriani, Hamzeh Ghorbani, Mohammad Mehrad, 2022, Fuel.

Rheological and filtration characteristics of drilling fluids enhanced by nanoparticles with selected additives: an experimental study

Hamzeh Ghorbani, David A. Wood, Nima Mohamadian, 2018 .