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Methods for Dispatching and Optimization of Economic Operation of Water Injection System of Large-Scale Oilfield

机译:大型油田注水系统调度与经济运行优化方法

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The water injection system of large-scale oilfield is a very complicated pressure system, which consists of several water injection stations connecting with each other. At present, the system suffers a couple of prevailing problems, for example, low injection efficiency and high power consumption, and the dispatching and optimization of the system operation serves as an important approach to solve such problems. The mathematical model for optimization of operation scheme of the oilfield's water injection system is established with the minimum power consumption of water injection as the objective function, and the restriction on hydraulic balance, water injection rate and water injection pressure as the constraint conditions. The model belongs to a hybrid optimization design with discrete and continuous variables. In accordance with the structural characteristics of the model, the solving strategy based on the hybrid genetic algorithm is worked out; meanwhile, the methods for selection, chiasma and mutation of chromosome are put forward, and the corresponding software is also programmed. This method is adopted to make the optimization calculation for the operation scheme of high-pressure water injection system of certain oilfield, showing that the unit power consumption of water injection is reduced by 0.291 kW-h/m3, with the power saved totaling 6.76 times 106 kWldrh/a.
机译:大型油田的注水系统是一个非常复杂的压力系统,由多个相互连接的注水站组成。当前,该系统存在几个普遍的问题,例如低注入效率和高功耗,并且系统操作的调度和优化是解决这些问题的重要方法。建立了以注水最小能耗为目标函数,以水力平衡,注水速度,注水压力为约束条件的油田注水系统运行方案优化数学模型。该模型属于具有离散变量和连续变量的混合优化设计。根据模型的结构特点,提出了基于混合遗传算法的求解策略。提出了染色体的选择,嵌合和突变的方法,并编写了相应的软件。采用该方法对某油田高压注水系统运行方案进行了优化计算,表明注水单位能耗降低了0.291 kW-h / m 3 ,总共节电6.76乘以10 6 kWldrh / a。

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