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Hybrid Framework for Enhanced Dynamic Optimization of Intelligent Completion Design in Multilateral Wells with Multiple Types of Flow Control Devices

Energies (Basel), 2023-10, Vol.16 (20), p.7189

2023

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Stabilization of gas-lift oil wells by a nonlinear model predictive control scheme based on adaptive neural network models

Engineering applications of artificial intelligence, 2013-09, Vol.26 (8), p.1902-1910

2013

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Completion Performance Evaluation in Multilateral Wells Incorporating Single and Multiple Types of Flow Control Devices Using Grey Wolf Optimizer

Processes, 2024-04, Vol.12 (4), p.785

2024

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Multi-solution well placement optimization using ensemble learning of surrogate models

Journal of petroleum science & engineering, 2022-03, Vol.210, p.110076, Article 110076

2022

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Reservoir uncertainty tolerant, proactive control of intelligent wells

Computational geosciences, 2016-06, Vol.20 (3), p.655-676

2016

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Development of an adaptive surrogate model for production optimization

Journal of petroleum science & engineering, 2015-09, Vol.133, p.677-688

2015

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Proactive Optimization of Intelligent-Well Production Using Stochastic Gradient-Based Algorithms

SPE reservoir evaluation & engineering, 2016-05, Vol.19 (2), p.239-252

2016

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Fast optimization of packer locations in wells with flow control completions

Journal of petroleum science & engineering, 2021-10, Vol.205, p.108933, Article 108933

2021

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A robust, multi-solution framework for well placement and control optimization

Computational geosciences, 2022-08, Vol.26 (4), p.897-914

2022

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A Multisolution Optimization Framework for Well Placement and Control

SPE reservoir evaluation & engineering, 2021-11, Vol.24 (4), p.923-939

2021

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Development of a Probabilistic Framework for Risk-Based Well Decommissioning Design

SPE journal (Society of Petroleum Engineers (U.S.) : 1996), 2021-08, Vol.26 (4), p.1946-1963

2021

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Global Dynamic Harmony Search algorithm: GDHS

Applied mathematics and computation, 2014-02, Vol.228, p.195-219

2014

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Bridging the performance gap between passive and autonomous inflow control devices with a hybrid dynamic optimization technique integrating machine learning and global sensitivity analysis

Geoenergy Science and Engineering, 2024-09, Vol.240, p.213037, Article 213037

2024

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Robust integrated optimization of well placement and control under field production constraints

Journal of petroleum science & engineering, 2021-10, Vol.205, p.108926, Article 108926

2021

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Nonlinear model identification and adaptive control of CO2 sequestration process in saline aquifers using artificial neural networks

Applied soft computing, 2012-11, Vol.12 (11), p.3379-3389

2012

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Developing a well-centric flow model - The first step in a risk-based approach to oil and gas well decommissioning

Journal of petroleum science & engineering, 2021-09, Vol.204, p.108651, Article 108651

2021

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Proactive optimisation of intelligent wells under uncertainty

Haghighat Sefat, Morteza

2016

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Fluid Injection Optimization Using Modified Global Dynamic Harmony Search

Iranian journal of oil & gas science and technology (Online), 2013-07, Vol.2 (3), p.57-72

2013

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Hybrid Framework for Enhanced Dynamic Optimization of Intelligent Completion Design in Multilateral Wells with Multiple Types of Flow Control Devices

Stabilization of gas-lift oil wells by a nonlinear model predictive control scheme based on adaptive neural network models

Completion Performance Evaluation in Multilateral Wells Incorporating Single and Multiple Types of Flow Control Devices Using Grey Wolf Optimizer

Multi-solution well placement optimization using ensemble learning of surrogate models

Reservoir uncertainty tolerant, proactive control of intelligent wells

Development of an adaptive surrogate model for production optimization

Proactive Optimization of Intelligent-Well Production Using Stochastic Gradient-Based Algorithms

Fast optimization of packer locations in wells with flow control completions

A robust, multi-solution framework for well placement and control optimization

A Multisolution Optimization Framework for Well Placement and Control

Development of a Probabilistic Framework for Risk-Based Well Decommissioning Design

Global Dynamic Harmony Search algorithm: GDHS

Bridging the performance gap between passive and autonomous inflow control devices with a hybrid dynamic optimization technique integrating machine learning and global sensitivity analysis

Robust integrated optimization of well placement and control under field production constraints

Nonlinear model identification and adaptive control of CO2 sequestration process in saline aquifers using artificial neural networks

Developing a well-centric flow model - The first step in a risk-based approach to oil and gas well decommissioning

Proactive optimisation of intelligent wells under uncertainty

Fluid Injection Optimization Using Modified Global Dynamic Harmony Search

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