Optimization for ASP flooding based on adaptive rationalized Haar function approximation

Yulei Ge; Shurong Li; Xiaodong Zhang

doi:10.1016/j.cjche.2018.06.015

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Optimization for ASP flooding based on adaptive rationalized Haar function approximation

Selected Papers from the 28th Chinese Process Control Conference | Updated：2026-01-06

- Optimization for ASP flooding based on adaptive rationalized Haar function approximation
- Optimization for ASP flooding based on adaptive rationalized Haar function approximation
- 中国化学工程学报（英文版） 2018年26卷第8期页码：1758-1765
- Affiliations：
  
  2 Automation School, Beijing University of Posts and Telecommunications,Beijing,China,100876
- Author bio：
- Funds：
- DOI：10.1016/j.cjche.2018.06.015
  中图分类号：
- 纸质出版：2018
- Accepted：
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Yulei Ge, Shurong Li, Xiaodong Zhang. Optimization for ASP flooding based on adaptive rationalized Haar function approximation[J]. 中国化学工程学报（英文版）, 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.
Yulei Ge, Shurong Li, Xiaodong Zhang. Optimization for ASP flooding based on adaptive rationalized Haar function approximation[J]. 中国化学工程学报（英文版）, 2018,26(8):1758-1765. DOI： 10.1016/j.cjche.2018.06.015.

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. DOI： 10.1016/j.cjche.2018.06.015.

摘要

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.

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