基于期望值模型的注水管网摩阻因数反演  

Pipe friction factor inversion based on expected value model

作　　者：王玉学[1] 郭林涛[1] 周少华[1] 王银凤[1] 

机构地区：[1]东北石油大学数学科学与技术学院,黑龙江大庆163318

出　　处：《大庆石油学院学报》2012年第1期92-94,1,共3页Journal of Daqing Petroleum Institute

基　　金：黑龙江省自然科学基金项目(E201143)

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.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.

关 键 词：遗传算法 期望值模型 随机模拟 注水管网 

分 类 号：TE838.4[石油与天然气工程—油气储运工程]