基于改进的同步扰动随机逼近算法的聚表二元驱优化

发布时间：2018-04-30 23:20

本文选题：同步扰动随机逼近算法 + 生产优化　；参考：《中国石油大学学报(自然科学版)》2017年05期

【摘要】：聚表二元驱作为一种提高采收率的有效方法已经被广泛应用于各大油田,为实现聚表二元驱生产效益最大化,从油田实际情况出发,将油田开发的经济效益作为优化目标,选取聚合物与表面活性剂的质量浓度、注入体积、注入时机等参数作为调控变量,并结合改进随机差异化步长的SPSA算法进行优化求解,比较约束与不约束聚合物、表面活性剂使用总量。结果表明:随机差异化步长不仅可以加快算法的运行效率而且能更好地实现全局最优性;当不约束聚合物和表面活性剂使用总量时,在含水率越小时实施聚表二元驱,生产效益越好;当约束聚合物和表面活性剂使用总量时,聚合物和表面活性剂使用总量越小,在含水率越大时实施聚表二元驱生产效益越好。
[Abstract]:As an effective method to improve oil recovery, bivariate flooding has been widely used in various oil fields. In order to maximize the production benefit of binary flooding, the economic benefits of oilfield development are taken as the optimization objective according to the actual situation of oil field. The parameters such as the mass concentration of polymer and surfactant, the volume of injection and the timing of injection are selected as the control variables, and the optimized solution is obtained by using the improved stochastic differential step size SPSA algorithm, and the constrained and unconstrained polymers are compared. Total amount of surfactant used. The results show that the stochastic differential step size can not only accelerate the running efficiency of the algorithm but also achieve the global optimality better, and when the total amount of polymer and surfactant is not restricted, the binary flooding of polygraph is carried out when the water content is smaller. When the total amount of polymer and surfactant is limited, the smaller the total amount of polymer and surfactant is, the better the production efficiency is when the water content is higher.
【作者单位】：中国石油大学石油工程学院;
【基金】：国家自然科学基金项目(51722406,61573018) 山东省自然科学基金项目(ZR2015EL014) 国家重大专项(2016ZX05025001-006) 中央高校基本科研业务费专项(15CX05035A,17CX05002A)
【分类号】：TE357.46

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