A new approximate dynamic programming algorithm based on an actor–critic framework for optimal control of alkali–surfactant–polymer flooding-Reference-Cited by-同舟云学术

A new approximate dynamic programming algorithm based on an actor–critic framework for optimal control of alkali–surfactant–polymer flooding

Published:2019-03-25 Issue:12 Volume:51 Page:2147-2168
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Li Shurong¹,Han Lu²,Ge Yulei³^ORCID,Shi Yuhuan⁴

Affiliation:

1. College of Automation, Beijing University of Posts and Telecommunications, Beijing, PR China

2. College of Information and Control Engineering, China University of Petroleum (East China), Qingdao, PR China

3. Qingdao Topscomm Communication Company, Qingdao, PR China

4. CNPC East China Design Institute Company, Qingdao, PR China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2019.1570180

Reference19 articles.

1. Tensor based geology preserving reservoir parameterization with Higher Order Singular Value Decomposition (HOSVD)

2. Optimal Waterflood Management Using Rate Control

3. A novel approach for modeling and optimization of surfactant/polymer flooding based on Genetic Programming evolutionary algorithm

4. A novel actor–critic–identifier architecture for approximate optimal control of uncertain nonlinear systems

5. An approximate dynamic programming method for the optimal control of Alkai-Surfactant-Polymer flooding

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