An Improved Particle Swarm Optimization algorithm for Optimal Control of ASP Flooding
2021 ◽
Vol 2076
(1)
◽
pp. 012007
Keyword(s):
Abstract An optimization for injection of alkali/surfactant/polymer (ASP) flooding in oil recovery is considered in this paper. This optimal control problem (OCP) is formulated as a parameter identification system, where the objective function is revenue maximization and the governing equation is multiphase flow in porous media. We use the ASP concentrations and slug size as the control and give the pointwise constraint for the control. An improved particle swarm optimization (IPSO) which is a particle swarm optimization (PSO) with second-order oscillatory in velocity, is applied to solve the OCP. Finally, an example of the OCP for ASP flooding is exposed and the results show that the IPSO method is effective and feasible.
2018 ◽
Vol 6
(4)
◽
pp. 3980-3986
2014 ◽
Vol 599-601
◽
pp. 1453-1456