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 …
Hybrid particle filter–particle swarm optimization algorithm and application to fuzzy controlled servo systems
This article presents a hybrid metaheuristic optimization algorithm that combines particle
filter (PF) and particle swarm optimization (PSO) algorithms. The new PF–PSO algorithm …
filter (PF) and particle swarm optimization (PSO) algorithms. The new PF–PSO algorithm …
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 …
A survey on applications of the harmony search algorithm
This paper thoroughly reviews and analyzes the main characteristics and application
portfolio of the so-called Harmony Search algorithm, a meta-heuristic approach that has …
portfolio of the so-called Harmony Search algorithm, a meta-heuristic approach that has …
Review of field development optimization of waterflooding, EOR, and well placement focusing on history matching and optimization algorithms
J Udy, B Hansen, S Maddux, D Petersen, S Heilner… - Processes, 2017 - mdpi.com
This paper presents a review of history matching and oil field development optimization
techniques with a focus on optimization algorithms. History matching algorithms are …
techniques with a focus on optimization algorithms. History matching algorithms are …
Comparison of Heuristic techniques: A case of TSP
In the current scenario, heuristic approaches are broadly used in research in
interdisciplinary categories. Heuristic Algorithms are used to get better and optimized …
interdisciplinary categories. Heuristic Algorithms are used to get better and optimized …
Efficient well placement optimization coupling hybrid objective function with particle swarm optimization algorithm
S Ding, R Lu, Y Xi, G Liu, J Ma - Applied Soft Computing, 2020 - Elsevier
Well placement optimization is a critical part of the oil field development planning which
aims to find the optimal locations of wells to maximize a traditional objective function (TOF) …
aims to find the optimal locations of wells to maximize a traditional objective function (TOF) …
Optimization of shale gas field development using direct search techniques and reduced-physics models
KC Wilson, LJ Durlofsky - Journal of Petroleum Science and Engineering, 2013 - Elsevier
The economics of oil and gas field development can be improved significantly by using
computational optimization to guide operations. In this work, we present a general …
computational optimization to guide operations. In this work, we present a general …
Optimal producer well placement and multiperiod production scheduling using surrogate modeling
A Moolya, A Rodríguez-Martínez… - Computers & Chemical …, 2022 - Elsevier
The main objective of this paper is to determine the optimal placement of oilfield producer
wells while accounting for surface infrastructure constraints. To accomplish this objective, we …
wells while accounting for surface infrastructure constraints. To accomplish this objective, we …
Well placement optimization using an analytical formula-based objective function and cat swarm optimization algorithm
Well placement optimization is a crucial and complex task in oil field development. Well
placement is usually optimized by coupling reservoir numerical simulator with optimization …
placement is usually optimized by coupling reservoir numerical simulator with optimization …