求解石油生产过程设定点优化的进化算法

Evolutionary algorithm for set point optimization of oil production process

引言石油生产过程与任何输入输出系统一样，长期以来积累了其注水井的注入率和生产井的产出率等丰富历史数据，通过对这些数据的分析，可以得到有关各注水井和各生产井的连通性信息，实时优化各注水井的最优注入率和各生产井的最优产出率，并及时调整各注入井和各生产井对应控制系统的设定值，可使石油开采过程保持在最优工况下运行‘。引。

A capacitance model and a steady-state model of oil production process were established based on the historical data accumulated during oil production. A set point optimization problem was formulated based on the proposed model of capacitance and oil production process by minimizing production cost or maximizing profits. A multi-objective constrained optimization evolutionary algorithm based on dynamical selection and replacement strategy was proposed for solving the set point optimization problem of oil production process. The constrained optimization problem was converted into a multi-objective optimization problem with two objectives. During the evolution process, the algorithm was based on multi-objective optimization technique, where the initial population was divided into two sets. A non-dominated individual＇s conservation bias strategy was used to keep a specific number of infeasible solutions in each generation. The randomly selected individuals in Pareto set were replaced by the remaining non-dominated individuals. Numerical simulation was made to verify the proposed algorithm using a set of data obtained from a heterogeneous reservoir Synfield.