Active learning for modeling and prediction of dynamical fluid processes-Reference-Cited by-同舟云学术

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Active learning for modeling and prediction of dynamical fluid processes

Published:2018-12 Issue: Volume:183 Page:11-22
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Deng Hongying,Liu Yi,Li Ping,Zhang Shengchang

Funder

National Natural Science Foundation of China

Zhejiang Provincial Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference33 articles.

1. Multiphase Production: Pipeline Transport, Pumping and Metering;Falcimaigne,2008

2. Comparison of multiphase pumping technologies for subsea and downhole applications;Hua;Oil Gas Facil.,2012

3. Hybrid model for discharge flow rate prediction of reciprocating multiphase pumps;Deng;Adv. Eng. Software,2018

4. Integrated probabilistic modeling method for transient opening height prediction of check valves in oil-gas multiphase pumps;Deng;Adv. Eng. Software,2018

5. Experimental study of air-oil-water flow in a balancing valve;Pietrzak;J. Petrol. Sci. Eng.,2015

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