基于遗传蚁群算法的高含水油田集输系统的运行优化

Operation Optimization of the Gathering and Transfer System Based on Genetic Ant Colony Algorithm in High Water Cut Oilfields

目前,我国大部分油田已进入高含水后期开发阶段,优化生产运行、减低成本已成为油田开发所面临的主要问题。以集输系统的动力、热力消耗最小为目标函数,根据集输系统的运行条件提出了函数约束条件,依据高含水原油集输特点提出了新的温度约束条件,建立了高含水油田集输系统运行优化的数学模型,并利用遗传蚁群算法对系统模型进行优化研究。通过实例计算,其优化结果可以指导油田生产运行,具有一定的现实意义。

Most oilfields has entered the high water cut stage of development in China,operation optimization and cost reduction become the major problem in the oilfield development. Taking the minimum consumption of power and heat as objective function, operation conditions of gathering and transfer system with new operating temperature as constraints,the mathematical model of operation optimization was established. The model was optimized by genetic ant colony algorithm. The sample calculation showed that optimization results could be a guide to the crude oil production.