A quantum krill herd algorithm based chance constrained programming for surfactant flooding
作者单位：Automation SchoolBeijing University of Posts and Telecommunications
会议名称：《第32届中国控制与决策会议》
会议日期：2020年
学科分类：0820[工学-石油与天然气工程] 12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 082002[工学-油气田开发工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）]
关 键 词：Quantum krill herd algorithm Chance constrained programming Surfactant flooding
摘 要：This paper presents a chance constrained programming（CCP） based on quantum krill herd algorithm（QKH）to solve an engineering optimization for surfactant flooding in oil ***,an optimal control model describing surfactant flooding mechanism is *** this model,the fluctuant oil price is the uncertainty needs to be addressed,the injection concentration of surfactant is the control variable and the net present value is the objective *** chance constrained programming（CCP） is adopted to transform the uncertain model into a deterministic nonlinear programming *** a quantum krill herd algorithm（QKH） is presented to solve the *** with the standard krill herd algorithm（KH）,QKH has a superior global searching ability and computational efficiency owing to the quantum *** last,an actual optimization model for surfactant flooding is solved by the proposed method and the optimal injection strategy is obtained.