摘要
控制系统实时优化的关键是及时获得其最优设定点,本文利用石油生产过程中积累的丰富历史数据,建立了石油生产过程的稳态模型,基于石油生产企业最大化石油生产利润或最小化生产成本的经济指标形成了一个设定点优化模型,并结合修改增广Lagrange乘子法和粒子群优化算法提出了一个新型混合方法,以对所形成的石油生产过程设定点优化问题进行有效的全局寻优,利用商业软件Eclipse对一个非均质油藏Synfield进行模拟所得的一组数据进行了数值仿真试验,试验结果验证了所给模型和方法的有效性.
The key to real-time optimization for control system is to obtain the optimal set points in time.Firstly,a steady-state model of oil production process is established using the rich historical data accumulated during the oil produc-tion.Secondly,a set point optimization problem is formulated based on the proposed steady-state model by maximizing profits or minimizing production costs.Thirdly,a new hybrid method is proposed to globally solve the formulated set point optimization problem by combining the modified augmented Lagrange multiplier method and the particle swarm optimiza-tion.Finally,the numerical simulation is performed to validate the proposed model and method,using a set of data obtained by a commercial software Eclipse on a heterogeneous reservoir Synfield.
出处
《控制理论与应用》
EI
CAS
CSCD
北大核心
2011年第9期1130-1134,共5页
Control Theory & Applications
基金
国家自然科学基金资助项目(60874070)
高校博士点基金资助项目(20070533131)
教育部留学回国人员科研启动基金资助项目
关键词
设定点优化
稳态模型
混合方法
数值仿真
set point optimization
steady-state model
hybrid method
numerical simulation
