A critical review on intelligent optimization algorithms and surrogate models for conventional and unconventional reservoir production optimization
Aiming to find the most suitable development schemes of conventional and unconventional
reservoirs for maximum energy supply or economic benefits, reservoir production …
reservoirs for maximum energy supply or economic benefits, reservoir production …
A review of proxy modeling highlighting applications for reservoir engineering
Numerical models can be used for many purposes in oil and gas engineering, such as
production optimization and forecasting, uncertainty analysis, history matching, and risk …
production optimization and forecasting, uncertainty analysis, history matching, and risk …
Predicting solubility of CO2 in brine by advanced machine learning systems: Application to carbon capture and sequestration
Carbon dioxide (CO 2) capture and sequestration in saline aquifers have turned into a key
focus as it becomes an effective way to reduce CO 2 in the atmosphere. The solubility of CO …
focus as it becomes an effective way to reduce CO 2 in the atmosphere. The solubility of CO …
A holistic review on artificial intelligence techniques for well placement optimization problem
Well placement optimization is one of the major challenging factors in the field development
process of oil and gas industry. The objective function of well placement optimization is …
process of oil and gas industry. The objective function of well placement optimization is …
Modeling solubility of sulfur in pure hydrogen sulfide and sour gas mixtures using rigorous machine learning methods
MN Amar - International Journal of Hydrogen Energy, 2020 - Elsevier
Accurate determination of sulfur solubility in pure hydrogen sulfide (H 2 S) and sour gas
mixtures has a leading role and a fundamental importance in handling and addressing …
mixtures has a leading role and a fundamental importance in handling and addressing …
Applying hybrid support vector regression and genetic algorithm to water alternating CO2 gas EOR
MN Amar, N Zeraibi… - … Gases: Science and …, 2020 - Wiley Online Library
Water alternating CO2 gas injection (WAG CO2) is one of the most promising enhanced oil
recovery techniques. The optimization of this process requires performing many time …
recovery techniques. The optimization of this process requires performing many time …
Modeling temperature-based oil-water relative permeability by integrating advanced intelligent models with grey wolf optimization: Application to thermal enhanced oil …
Relative permeability is an indispensable parameter that is involved in many sensitive tasks
related to reservoir studies. Due to this fact, there is increasing interest about methods that …
related to reservoir studies. Due to this fact, there is increasing interest about methods that …
An efficient methodology for multi-objective optimization of water alternating CO2 EOR process
NA Menad, Z Noureddine - Journal of the Taiwan Institute of Chemical …, 2019 - Elsevier
Abstract Water Alternating CO 2 injection (WAG CO 2) is one of the most promising EOR
techniques for further recovery improvement. A successful implementation of this method …
techniques for further recovery improvement. A successful implementation of this method …
Experimental measurement and compositional modeling of crude oil viscosity at reservoir conditions
In the present study, experimental and modeling investigations were performed and
combined to implement trustworthy paradigms to predict the viscosity value under different …
combined to implement trustworthy paradigms to predict the viscosity value under different …
Modeling relative permeability of gas condensate reservoirs: Advanced computational frameworks
In the last years, an appreciable effort has been directed toward develo** empirical
models to link the relative permeability of gas condensate reservoirs to the interfacial tension …
models to link the relative permeability of gas condensate reservoirs to the interfacial tension …