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

An efficient methodology for multi-objective optimization of water alternating CO2 EOR process

(2019) Nait Amar Menad et al.   Journal of the Taiwan Institute of Chemical Engineers

AI based mechanistic modeling and probabilistic forecasting of hybrid low salinity chemical flooding

(2019) Cuong Dang et al.   FUEL

Modeling oil-brine interfacial tension at high pressure and high salinity conditions

(2019) Menad Nait Amar et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Modeling minimum miscibility pressure of pure/impure CO2-crude oil systems using adaptive boosting support vector regression: Application to gas injection processes

(2019) Atefeh Dargahi-Zarandi et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Performance forecasting for polymer flooding in heavy oil reservoirs

(2018) Ehsan Amirian et al.   FUEL

Modeling and optimization of alkaline-surfactant-polymer flooding and hybrid enhanced oil recovery processes

(2018) Cuong Dang et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Performance of nature inspired optimization algorithms for polymer Enhanced Oil Recovery process

(2017) Damian Janiga et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

A robust approach to predict distillate rate through steam distillation process for oil recovery

(2017) Zahra Jahani-Keleshteri   PETROLEUM SCIENCE AND TECHNOLOGY

Artificial Neural Network Model for Alkali-Surfactant-Polymer Flooding in Viscous Oil Reservoirs: Generation and Application

(2016) Si Le Van et al.   Energies

Integrating a robust model for predicting surfactant–polymer flooding performance

(2016) Arash Kamari et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

A Mechanistic Integrated Geochemical and Chemical-Flooding Tool for Alkaline/Surfactant/Polymer Floods

(2016) Aboulghasem Kazemi Nia Korrani et al.   SPE JOURNAL

Toward a predictive model for estimating viscosity of ternary mixtures containing ionic liquids

(2014) Mohsen Hosseinzadeh et al.   JOURNAL OF MOLECULAR LIQUIDS

An artificial neural network model for predicting the recovery performance of surfactant polymer floods

(2013) Mabkhout M. Al-Dousari et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Neuro-simulation modeling of chemical flooding

(2011) M.S. Karambeigi et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Prediction of activity coefficients at infinite dilution for organic solutes in ionic liquids by artificial neural network

(2010) Faezeh Nami et al.   JOURNAL OF CHEMICAL THERMODYNAMICS

Integrating genetic algorithm and support vector machine for polymer flooding production performance prediction

(2009) Jian Hou et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Estimation of research reactor core parameters using cascade feed forward artificial neural networks

(2009) Afshin Hedayat et al.   PROGRESS IN NUCLEAR ENERGY

Mechanistic Modeling of Alkaline/Surfactant/Polymer Floods

(2009) Hourshad Mohammadi et al.   SPE RESERVOIR EVALUATION & ENGINEERING