高含水油田调驱过程控制智能优化方法

Intelligent Optimization Method for Profile Control and Flooding Process in High Water Cut Oilfield

针对高含水油田调驱过程复杂不可预见的特点,该文结合传感器技术和图像处理技术,同时引入旋转摄像头和脉冲电流单元,利用果蝇优化算法计算GCV阈值选择函数的阈值优化,将人工调整因子引入果蝇算法进行优化,对油田调驱过程控制进行决策优化。实验结果表明,改进的调驱系统在准确率上有了明显提升,对油田调驱过程控制的全面智能化具有良好的参考价值。

According to the complex and unpredictable characteristics of profile control and flooding process in high water cut oilfield,combined with sensor technology and image processing technology,the rotating camera and pulse current unit are introduced.The threshold optimization of GCV threshold selection function is calculated by drosophila optimization algorithm.At the same time,the manual adjustment factor is introduced into drosophila algorithm to optimize the profile control and flooding process.The experimental results show that the accuracy of the improved profile control and flooding system has been significantly improved,which has a good reference value for the comprehensive intelligence of oilfield profile control and flooding process.