Eventos Anais de eventos
COBEM 2023
27th International Congress of Mechanical Engineering
Waterflooding optimization by producer watercut using PSO algorithm
Submission Author:
cuellar sanchez , DF
Co-Authors:
Vinicius Rafael de Freitas, Mario Andrés Pastrana Triana, Lucas Moura Gomes, Emanuel Pereira Barroso Neto, cuellar sanchez, Eugenio Fortaleza, Rafael Valladares de Almeida
Presenter: cuellar sanchez
doi://10.26678/ABCM.COBEM2023.COB2023-2337
Abstract
Global optimization using bio-inspired algorithms has been shown to improve Net Present Value (NPV). For example, Particle Swarm Optimization (PSO) can reach larger NPVs than classical techniques. However, PSO requires a high computational cost due to the elevated number of control variables, making its application unfeasible for bigger and more complex reservoir models like Brazilian pre-salt reservoirs. Thus, one-dimensional PSO is proposed to decrease the computational cost, using the water-cut value as a decision variable and closing the producers similar to Reactive Control (RC), but with a different value for each well. The approach was used in two synthetic black oil benchmarks: Egg Model and Olympus reservoirs. As a result, the computational cost decreases considerably in comparison with the typical global optimization and the NPV increases by approximately 2\% in relation to RC.
Keywords
PSO, reactive control, Waterflooding, Optimization
