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 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 …
Numerical simulation and optimization of injection rates and wells placement for carbon dioxide enhanced gas recovery using a genetic algorithm
The aim of CO 2 enhanced gas recovery (CO 2-EGR) is to extract more natural gas from
depleted gas reservoirs and simultaneously sequestrate large amount of CO 2. To achieve …
depleted gas reservoirs and simultaneously sequestrate large amount of CO 2. To achieve …
Flood susceptibility mapping using remote sensing and integration of decision table classifier and metaheuristic algorithms
S Askar, S Zeraat Peyma, MM Yousef, NA Prodanova… - Water, 2022 - mdpi.com
Flooding is one of the most prevalent types of natural catastrophes, and it can cause
extensive damage to infrastructure and the natural environment. The primary method of …
extensive damage to infrastructure and the natural environment. The primary method of …
A new approach in well placement optimization using metaheuristic algorithms
S Raji, A Dehnamaki, B Somee… - Journal of Petroleum …, 2022 - Elsevier
The need to determine the optimum well placement which causes maximum cumulative oil
production has dramatically raised in recent years. Hence, there is a need for a reliable and …
production has dramatically raised in recent years. Hence, there is a need for a reliable and …
Porosity prediction from well logs using back propagation neural network optimized by genetic algorithm in one heterogeneous oil reservoirs of Ordos Basin, China
L Chen, W Lin, P Chen, S Jiang, L Liu, H Hu - Journal of Earth Science, 2021 - Springer
A reliable and effective model for reservoir physical property prediction is a key to reservoir
characterization and management. At present, using well logging data to estimate reservoir …
characterization and management. At present, using well logging data to estimate reservoir …
Efficient and robust optimization for well patterns using a PSO algorithm with a CNN-based proxy model
One objective of the field development plan (FDP) is to optimize well patterns, that is, the
number and type of well (producers or injectors) and their locations, in order to maximize net …
number and type of well (producers or injectors) and their locations, in order to maximize net …
Data-driven evolutionary algorithm for oil reservoir well-placement and control optimization
Well placement and control scheme optimization is crucial for hydrocarbon, groundwater
and geothermal development, and generally involves a large number of discrete and …
and geothermal development, and generally involves a large number of discrete and …
An efficient method for injection well location optimization using fast marching method
Well placement is one of the challenging steps in field development optimization. Finding
optimal locations with fewer function evaluations and less time is crucial when dealing with …
optimal locations with fewer function evaluations and less time is crucial when dealing with …
Toward investigating the application of reservoir opportunity index in facilitating well placement optimization under geological uncertainty
There have been several attempts to reduce the computational costs associated with well
placement optimization under geological uncertainty by selecting a representative subset of …
placement optimization under geological uncertainty by selecting a representative subset of …