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RISA Comparative Study of Genetic and Particle Swarm Optimization Algorithms and Their Hybrid Method in Water Flooding Optimization
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Optimization of oil production from petroleum reservoirs is an interesting and complex problem which can be done by optimal control of well parameters such as their flow rates and pressure. Different optimization techniques ...
Efficient Particle Swarm Optimization of Well Placement to Enhance Oil Recovery Using a Novel Streamline Based Objective Function
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: One of the main reservoir development plans is to find optimal locations for drilling new wells in order to optimize cumulative oil recovery. Reservoir simulation is a necessary tool to study different configurations of ...
A Novel Streamline-Based Objective Function for Well Placement Optimization in Waterfloods
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In reservoir development plans, well placement optimization is usually performed to better sweep oil and reduce the amount of trapped oil inside reservoirs. Long-term optimization of well placement requires multiple times ...