基于智能融合的油田注水系统控制策略

Intelligence based control strategy of affusion system for oil field stratum

为解决油田开发导致地层能量失衡,提出了一种向地层注水的智能融合控制策略。分析了油田地层能量系统的控制论特性,对比研究和提出了基于仿人智能融合的控制策略,构造了地层注水能量平衡的控制模型和控制算法。文中以二阶加时延的过程模型为例,鉴于被控过程大滞后等特点,采用两种控制策略分别作了数字仿真实验,对比系统响应曲线可知,基于智能融合的策略在控制品质方面有明显的优势,控制精度高,稳定性好。系统仿真结果表明,该融合控制策略无须建立数学模型,控制算法鲁棒性强,对油田地层复杂对象控制是一种好的控制策略。

To solve the stratum energy unbalance resulted from oil field development,it presented a sort of intelligence based fusion control strategy for stratum affusion. In the paper,it analyzed the cybernetics character of energy system of oil field stratum,studied and presented the intelligence based fusion control strategy,constructed the control model and control algorithm of energy balance. In the paper,it took the process model of a two order system with delay lache as an example,whereas the large lag characteristic of controlled process and so on,it made respectively the digital simulation experiment by means of two sorts of control strategy. Compared the system response curve,Which showed that it owns obviously the advantages in control quality,higher in control precision and better in stability. The system simulation results show that it is unnecessary to establish the mathematical model to the fusion control strategy,strong in robustness of control algorithm,and it is a good control strategy for complex control object of oil field stratum.