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Majid Siavashi
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Journal Articles

A Novel Streamline-Based Objective Function for Well Placement Optimization in Waterfloods

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Foroozan Naderi, Majid Siavashi, Ali Nakhaee
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol. October 2021, 143(10): 102104.
Paper No: JERT-20-1573
https://doi.org/10.1115/1.4049457
Published Online: January 20, 2021
View Articletitled, A Novel Streamline-Based Objective Function for Well Placement Optimization in Waterfloods
Open the PDF for A Novel Streamline-Based Objective Function for Well Placement Optimization in Waterfloods in another window
Topics: Floods, Optimization, Particle swarm optimization, Particulate matter, Reservoirs, Water, Wells, Simulation
Journal Articles

A Comparative Study of Genetic and Particle Swarm Optimization Algorithms and Their Hybrid Method in Water Flooding Optimization

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Majid Siavashi, Mohsen Yazdani
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Research-Article
J. Energy Resour. Technol. October 2018, 140(10): 102903.
Paper No: JERT-17-1413
https://doi.org/10.1115/1.4040059
Published Online: May 15, 2018
View Articletitled, A Comparative Study of Genetic and Particle Swarm Optimization Algorithms and Their Hybrid Method in Water Flooding Optimization
Open the PDF for A Comparative Study of Genetic and Particle Swarm Optimization Algorithms and Their Hybrid Method in Water Flooding Optimization in another window
Topics: Algorithms, Floods, Optimization, Particle swarm optimization, Reservoirs, Water, Wells, Flow (Dynamics), Optimization algorithms, Hydrocarbon reservoirs
Journal Articles

Efficient Particle Swarm Optimization of Well Placement to Enhance Oil Recovery Using a Novel Streamline-Based Objective Function

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Majid Siavashi, Mohammad Rasoul Tehrani, Ali Nakhaee
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Research-Article
J. Energy Resour. Technol. September 2016, 138(5): 052903.
Paper No: JERT-15-1357
https://doi.org/10.1115/1.4032547
Published Online: February 23, 2016
View Articletitled, Efficient Particle Swarm Optimization of Well Placement to Enhance Oil Recovery Using a Novel Streamline-Based Objective Function
Open the PDF for Efficient Particle Swarm Optimization of Well Placement to Enhance Oil Recovery Using a Novel Streamline-Based Objective Function in another window
Topics: Optimization, Particle swarm optimization, Reservoirs, Simulation, Wells, Petroleum extraction, Algorithms