Optimization for ASP flooding based on adaptive rationalized Haar function approximation

doi:10.1016/j.cjche.2018.06.015

Chinese Journal of Chemical Engineering ›› 2018, Vol. 26 ›› Issue (8): 1758-1765.DOI: 10.1016/j.cjche.2018.06.015

• Selected Papers from the 28th Chinese Process Control Conference • 上一篇下一篇

Optimization for ASP flooding based on adaptive rationalized Haar function approximation

Yulei Ge¹, Shurong Li^1,2, Xiaodong Zhang¹

1 College of Information and Control Engineering, China University of Petroleum(East China), Qingdao 266580, China;
2 Automation School, Beijing University of Posts and Telecommunications, Beijing 100876, China

收稿日期:2017-10-17 修回日期:2018-01-18 出版日期:2018-08-28 发布日期:2018-09-21
通讯作者: Shurong Li,E-mail address:lishuron@upc.edu.cn
基金资助:
Supported by the National Natural Science Foundation of China (61573378) and the Fundamental Research Funds for the Central Universities (15CX06064A).

Optimization for ASP flooding based on adaptive rationalized Haar function approximation

Yulei Ge¹, Shurong Li^1,2, Xiaodong Zhang¹

1 College of Information and Control Engineering, China University of Petroleum(East China), Qingdao 266580, China;
2 Automation School, Beijing University of Posts and Telecommunications, Beijing 100876, China

Received:2017-10-17 Revised:2018-01-18 Online:2018-08-28 Published:2018-09-21
Contact: Shurong Li,E-mail address:lishuron@upc.edu.cn
Supported by:
Supported by the National Natural Science Foundation of China (61573378) and the Fundamental Research Funds for the Central Universities (15CX06064A).

摘要/Abstract

摘要： This paper presents an adaptive rationalized Haar function approximation method to obtain the optimal injection strategy for alkali-surfactant-polymer (ASP) flooding. In this process, the non-uniform control vector parameterization is introduced to convert original problem into a multistage optimization problem, in which a new normalized time variable is adopted on the combination of the subinterval length. Then the rationalized Haar function approximation method, in which an auxiliary function is introduced to dispose path constraints, is used to transform the multistage problem into a nonlinear programming. Furthermore, an adaptive strategy proposed on the basis of errors is adopted to regulate the order of Haar function vectors. Finally, the nonlinear programming for ASP flooding is solved by sequential quadratic programming. To illustrate the performance of proposed method, the experimental comparison method and control vector parameterization (CVP) method are introduced to optimize the original problem directly. By contrastive analysis of results, the accuracy and efficiency of proposed method are confirmed.

关键词: Alkali-surfactant-polymer flooding, Optimization, Enhanced oil recovery, Mathematical modeling, Rationalized Haar function approximation, Adaptive strategy

Abstract: This paper presents an adaptive rationalized Haar function approximation method to obtain the optimal injection strategy for alkali-surfactant-polymer (ASP) flooding. In this process, the non-uniform control vector parameterization is introduced to convert original problem into a multistage optimization problem, in which a new normalized time variable is adopted on the combination of the subinterval length. Then the rationalized Haar function approximation method, in which an auxiliary function is introduced to dispose path constraints, is used to transform the multistage problem into a nonlinear programming. Furthermore, an adaptive strategy proposed on the basis of errors is adopted to regulate the order of Haar function vectors. Finally, the nonlinear programming for ASP flooding is solved by sequential quadratic programming. To illustrate the performance of proposed method, the experimental comparison method and control vector parameterization (CVP) method are introduced to optimize the original problem directly. By contrastive analysis of results, the accuracy and efficiency of proposed method are confirmed.

Key words: Alkali-surfactant-polymer flooding, Optimization, Enhanced oil recovery, Mathematical modeling, Rationalized Haar function approximation, Adaptive strategy

Yulei Ge, Shurong Li, Xiaodong Zhang. Optimization for ASP flooding based on adaptive rationalized Haar function approximation[J]. Chinese Journal of Chemical Engineering, 2018, 26(8): 1758-1765.

Yulei Ge, Shurong Li, Xiaodong Zhang. Optimization for ASP flooding based on adaptive rationalized Haar function approximation[J]. Chin.J.Chem.Eng., 2018, 26(8): 1758-1765.

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Optimization for ASP flooding based on adaptive rationalized Haar function approximation

Optimization for ASP flooding based on adaptive rationalized Haar function approximation

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