基于仿人智能的油田地层注水系统控制策略探讨

Exploring on Control Strategy of Water Injection System Based on Human Simulated Intelligence in Oil Field Stratum

针对油田开发中地层能量失恒导致的油田难以维持长期高产、稳产的问题,探讨了一种基于仿人智能的油田地面注水系统控制策略。剖析了注水驱油开采方式的优势及存在的问题,总结了油田地层能量系统的控制论特性,研究了节能策略和基于仿人智能融合的控制策略,构造了基于仿人智能的控制模型和控制算法。为了方便比较控制效果,以1阶惯性加延时的系统模型为例,采用两种控制策略分别进行数字仿真实验。仿真结果验证了基于智能融合策略的控制具有精度高、运行平稳、鲁棒性好的特点,在控制品质方面有明显的优势。系统仿真结果表明:智能融合策略对油田地层复杂对象的控制是一种优秀的控制策略。

Aimed at puzzles of being difficult to maintain effective long-term high and stable production of oil fields resulted in stratum energy out-of-balance during oilfield development.The paper explored a sort of control strategy of oilfield stratum water-injection system based on human simulated intelligence.In the paper,it made anatomy of advantages and existing problems of water flooding oil recovery mode,summarized up the cybernetic characteristics of oilfield stratum energy system,researched on energy-saving strategy and control strategy based simulated intelligence fusion,constructed the control model and control algorithm based on human simulated intelligence.Taking the model of first order inertia plus delay system as an example,in order to compare the control effect,it carried out the digital simulation experiments respectively by using two control strategies,and the simulation experiments demonstrated that the control strategy based on intelligent fusion has high accuracy,smooth operation,good robustness and obvious advantages in control quality.The simulation results show that the intelligent fusion strategy is an excellent control strategy for complex system control of oilfield stratum.