Aydin Larestani

发表

Application of intelligent models in drilling engineering

Abdolhossein Hemmati-Sarapardeh, M. N. Amar, S. Hajirezaie, 2020 .

Compositional Modeling of the Oil Formation Volume Factor of Crude Oil Systems: Application of Intelligent Models and Equations of State

Abdolhossein Hemmati-Sarapardeh, M. Ostadhassan, Aydin Larestani, 2022, ACS omega.

Application of intelligent models in reservoir and production engineering

Menad Nait Amar, Sassan Hajirezaie, Abdolhossein Hemmati-Sarapardeh, 2020 .

Modelling minimum miscibility pressure of CO2 -crude oil systems using deep learning, tree-based, and thermodynamic models: Application to CO2 sequestration and enhanced oil recovery

M. Riazi, Junjian Li, Qichao Lv, 2023, Separation and Purification Technology.

Modeling of wax disappearance temperature (WDT) using soft computing approaches: Tree-based models and hybrid models

R. Zabihi, Aydin Larestani, Majid Safaei-Farouji, 2021, Journal of Petroleum Science and Engineering.

Experimental measurement and compositional modeling of bubble point pressure in crude oil systems: Soft computing approaches, correlations, and equations of state

A. Naseri, Aydin Larestani, A. Hemmati-Sarapardeh, 2022, Journal of Petroleum Science and Engineering.

Predicting the surfactant-polymer flooding performance in chemical enhanced oil recovery: Cascade neural network and gradient boosting decision tree

M. Ostadhassan, Aydin Larestani, S. Mousavi, 2022, Alexandria Engineering Journal.

On the evaluation of permeability of heterogeneous carbonate reservoirs using rigorous data-driven techniques

Menad Nait Amar, Abdolhossein Hemmati-Sarapardeh, Aydin Larestani, 2022 .

Predicting viscosity of CO2–N2 gaseous mixtures using advanced intelligent schemes

M. N. Amar, Aydin Larestani, A. Hemmati-Sarapardeh, 2022 .

Predicting formation damage of oil fields due to mineral scaling during water-flooding operations: Gradient boosting decision tree and cascade-forward back-propagation network

Abdolhossein Hemmati-Sarapardeh, Aydin Larestani, Fahimeh Hadavimoghaddam, 2022 .

Modeling of methane adsorption capacity in shale gas formations using white-box supervised machine learning techniques

Menad Nait Amar, Qichao Lv, Aydin Larestani, 2021, Journal of Petroleum Science and Engineering.

Experimental measurement and modeling of water-based drilling mud density using adaptive boosting decision tree, support vector machine, and K-nearest neighbors: A case study from the South Pars gas field

Mohammadhadi Shateri, Abdolhossein Hemmati-Sarapardeh, Ahmad Maaref, 2021 .

Intelligent models

S. Hajirezaie, Menad Nait Amar, Aydin Larestani, 2020, Applications of Artificial Intelligence Techniques in the Petroleum Industry.

Training and optimization algorithms

Menad Nait Amar, Sassan Hajirezaie, Abdolhossein Hemmati-Sarapardeh, 2020 .