Aydin Larestani

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

Menad Nait Amar, Aydin Larestani, Qichao Lv et al. · Journal of Petroleum Science and Engineering · 2021 · 64 citations

Artificial Intelligence, Gas Field Development, Shale Gas Formations +12

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

Aydin Larestani, Seyed Pezhman Mousavi, Fahimeh Hadavimoghaddam et al. · Journal of Petroleum Science and Engineering · 2021 · 62 citations

Engineering, Machine Learning, Data Science +9

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

Arefeh Naghizadeh, Aydin Larestani, Menad Nait Amar et al. · Journal of Petroleum Science and Engineering · 2021 · 57 citations

Fluid Properties, Engineering, Fluid Mechanics +3

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

Qichao Lv, Rong Zheng, Xinshu Guo et al. · Separation and Purification Technology · 2023 · 47 citations

Petroleum Reservoir, Engineering, Machine Learning +7

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

Abbas Hashemizadeh, Ahmad Maaref, Mohammadhadi Shateri et al. · Journal of Petroleum Science and Engineering · 2021 · 44 citations

Geotechnical Engineering, Support Vector Machine, Engineering +10