Surrogate-assisted evolutionary algorithm with dimensionality reduction method for water flooding production optimization-Reference-Cited by-同舟云学术

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Surrogate-assisted evolutionary algorithm with dimensionality reduction method for water flooding production optimization

Published:2020-02 Issue: Volume:185 Page:106633
ISSN:0920-4105
Container-title:Journal of Petroleum Science and Engineering
language:en
Short-container-title:Journal of Petroleum Science and Engineering

Author:

Chen Guodong,Zhang Kai,Xue Xiaoming,Zhang Liming,Yao Jun,Sun Hai,Fan Ling,Yang Yongfei

Funder

National Natural Science Foundation of China

Shandong Provincial Natural Science Foundation

Fundamental Research Funds for the Central Universities

National Science and Technology Major Project of China

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference73 articles.

1. 'Techniques for effective simulation, optimization, and uncertainty quantification of the in-situ upgrading process;Alpak;J. Unconv. Oil Gas Resour.,2013

2. 'Performance comparison of several response surface surrogate models and ensemble methods for water injection optimization under uncertainty;Babaei;Comput. Geosci.,2016

3. Multifidelity Response Surface Model for HSCT Wing Bending Material Weight;Balabanov,1998

4. Surrogate accelerated sampling of reservoir models with complex structures using sparse polynomial chaos expansion;Bazargan;Adv. Water Resour.,2015

5. Global optimization of grey-box computational systems using surrogate functions and application to highly constrained oil-field operations;Beykal;Comput. Chem. Eng.,2018

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