摘要
研究油田注水系统的优化控制有效性。对于多注水站点的油田注水系统,任一站点的参数调整会通过间接影响周围站点而降低整个系统的控制有效性,由于这种站点之间的相互影响是间接的、非线性的,极难准确表述和捕获,传统注水系统控制方法不能准确表述这种相互影响,造成注水系统的整体控制有效性不高,无法满足低能耗要求。为此,提出基于蚁群的注水系统优化控制方法。通过建立注水系统的数学模型,将站点间的相互影响表述成非线性方程,并采用蚁群搜索算法处理非线性搜索模型,经过蚁群算法优化求解得到最优控制解。仿真结果表明,改进方法能够准确捕获站点间的相互影响关系,并根据得到的搜索最优控制解有效完成油田注水系统的优化控制,保证了注水系统低功耗要求。
Research the control effectiveness of oilfield water injection system. This paper proposed a water injection system control method based on Ant Colony Optimization. Through the establishment of the mathematical model of water injection system, the site interactions were expressed as a nonlinear equation. An Ant Colony algorithm was used to deal with nonlinear search model, and the optimization of ant colony algorithm was rarried out for solving the optimal control solution. The experiments show that, this method can accurately capture the site interaction relation-ship, effectively complete the optimization of oilfield water injection system control according to the search optimal control solution, and ensure the water injection system with low power requirements.
出处
《计算机仿真》
CSCD
北大核心
2013年第1期197-200,共4页
Computer Simulation
关键词
蚁群算法
注水系统
优化控制
Ant colony algorithm
Injection system
Optimal control
