An iterative dynamic programming optimization based on biorthogonal spatial-temporal Hammerstein modeling for the enhanced oil recovery of ASP flooding

作     者：Li, Shurong Ge, Yulei Shi, Yuhuan 

作者机构：Beijing Univ Posts & Telecommun Automat Sch Beijing 100876 Peoples R China Qingdao Topscomm Commun Co Ltd Qingdao 266071 Peoples R China CNPC EastChina Design Inst Co Ltd Qingdao 266071 Peoples R China China Univ Petr East China Coll Informat & Control Engn Qingdao 266580 Peoples R China 

出 版 物：《JOURNAL OF PROCESS CONTROL》 (工艺过程控制杂志)

年 卷 期：2019年第73卷

页      面：75-88页

核心收录：

学科分类：0711[理学-系统科学] 07[理学] 0817[工学-化学工程与技术] 08[工学] 070105[理学-运筹学与控制论] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 0701[理学-数学] 071101[理学-系统理论] 

基　　金：National Natural Science Foundation Natural Science Foundation of Shandong province [ZR2011FM002] Fundamental Research Funds for the Central Universities [15CX06064A] 

主　　题：Enhanced oil recovery ASP flooding Biorthogonal spatial-temporal decomposition Distributed Hammerstein model Recursive least square Iterative dynamic programming 

摘      要：In this paper, an iterative dynamic programming (IDP) based on biorthogonal spatial-temporal Hammerstein modeling is developed to solve the enhanced oil recovery for alkali-surfactant-polymer (ASP) flooding. At first, the biorthogonal spatial-temporal Hammerstein model is presented to build the relation between the inputs and states, in which the Hammerstein model is expanded on a set of spatial basis functions and temporal basis functions. After inferring the necessary condition of solutions, these basis functions are determined by the snapshots method. Then, the least square estimation and singular value decomposition is used to identify the parameters in Hammerstein model. In addition, Auto-Regressive and Moving Average (ARMA) model is applied to build the model between states and outputs, whose parameters are identified by recursive least squares. At last, IDP algorithm is applied to solve the enhanced oil recovery problem for ASP flooding based on the identification model. Simulation verifies the accuracy and effectiveness of proposed method. (C) 2018 Elsevier Ltd. All rights reserved.