| 基于期望值模型的注水管网摩阻因数反演 |
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| 作者姓名： | 王玉学 郭林涛 周少华 王银凤 |
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| 作者单位： | 东北石油大学数学科学与技术学院 |
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| 基金项目： | 黑龙江省自然科学基金项目(E201143) |
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| 摘 要： | 为对油田注水管网摩阻因数进行反演求解,将注水管网节点部分未知压力设为随机参数,建立注水管网管道摩阻因数反演的一类随机优化模型———期望值模型;给出利用随机模拟技术和遗传算法求解期望值优化模型的数值方法.通过对理想注水管网进行反演求解,验证模型的合理性和算法的可行性.
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| 关 键 词： | 遗传算法 期望值模型 随机模拟 注水管网 |
Pipe friction factor inversion based on expected value model |
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| Authors: | WANG Yu-xue GUO Lin-tao ZHOU Shao-hua WANG Yin-feng |
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| Institution: | (School of Mathematics Science and Technology,Northeast Petroleum University,Daqing,Heilongjiang 163318,China) |
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| Abstract: | In oilfield water-injection network pipe friction factors are important parameters.Oil field water-injection network has been built for a long time,so the pipe friction factors have been changed,so we need to correct friction factors.Under the condition of knowing a part of nodes pressure values,the unknown pressure values are as random parameters and a kind of stochastic optimization model-expected value model is established about pipe friction factor inversion in oilfield water injection system.According to the model’s features,the mathematical model is solved by the use of genetic algorithm and stochastic simulation method.Finally,the model on the ideal pipe network is solved,and rationality of the model and feasibility of the method are verified. |
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| Keywords: | genetic algorithm expected value model stochastic simulation water-injection network pipe |
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