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 on closed-loop field development and management
A Mirzaei-Paiaman, SMG Santos… - Journal of Petroleum …, 2021 - Elsevier
Closed-loop field development and management (CLFDM) is defined as a periodic update
of an uncertain field model using the latest measurements (data assimilation), followed by …
of an uncertain field model using the latest measurements (data assimilation), followed by …
A surrogate-assisted multi-objective evolutionary algorithm with dimension-reduction for production optimization
Abstract Multi-objective optimization (MOO), which involves more than one conflicting
objective to be optimized simultaneously, is expected to provide efficient and …
objective to be optimized simultaneously, is expected to provide efficient and …
A novel multi-objective optimization method for well control parameters based on PSO-LSSVR proxy model and NSGA-II algorithm
Single-objective well control problems have been studied for many years as one of the most
typical optimization problems by researchers worldwide. However, single-objective …
typical optimization problems by researchers worldwide. However, single-objective …
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 …
A novel self-adaptive multi-fidelity surrogate-assisted multi-objective evolutionary algorithm for simulation-based production optimization
Multi-objective production optimization (MOPO) which aims at finding an optimal well control
scheme is regarded as a win-win strategy for improving economic and production gains …
scheme is regarded as a win-win strategy for improving economic and production gains …
The development of a novel multi-objective optimization framework for non-vertical well placement based on a modified non-dominated sorting genetic algorithm-II
A Rostamian, S Jamshidi, E Zirbes - Computational Geosciences, 2019 - Springer
A single-objective well placement problem is one of the classical optimization problems in
oilfield development and has been studied for many years, by researchers worldwide …
oilfield development and has been studied for many years, by researchers worldwide …
Model-based water-flooding optimization using multi-objective approach for efficient reservoir management
The efficient development of an oil field mostly depends on a comprehensive optimization of
subsurface flow. To account for several discrete or even contradicting objectives, multi …
subsurface flow. To account for several discrete or even contradicting objectives, multi …
Enhancement of SPSA algorithm performance using reservoir quality maps: Application to coupled well placement and control optimization problems
B Pouladi, A Karkevandi-Talkhooncheh… - Journal of Petroleum …, 2020 - Elsevier
Determination of optimal well location is a vital step in the design of an efficient field
development plan which aims to maximize the hydrocarbon recovery and profits from the …
development plan which aims to maximize the hydrocarbon recovery and profits from the …
A diversity preservation method for expensive multi-objective combinatorial optimization problems using Novel-First Tabu Search and MOEA/D
MB De Moraes, GP Coelho - Expert systems with applications, 2022 - Elsevier
Expensive multi-objective combinatorial optimization problems have constraints in the
number of objective function evaluations due to time, financial, or resource restrictions. As …
number of objective function evaluations due to time, financial, or resource restrictions. As …