Optimal design for real-time quantitative monitoring of sand in gas flowline using computational intelligence assisted design framework-Reference-Cited by-同舟云学术

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Optimal design for real-time quantitative monitoring of sand in gas flowline using computational intelligence assisted design framework

Published:2019-06 Issue: Volume:177 Page:1059-1071
ISSN:0920-4105
Container-title:Journal of Petroleum Science and Engineering
language:en
Short-container-title:Journal of Petroleum Science and Engineering

Author:

Aminu Kuda Tijjani,McGlinchey Don,Chen Yi

Funder

EPSRC

ARCHIE-WEST

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference56 articles.

1. Sign-based learning schemes for pattern classification;Anastasiadis;Pattern Recogn. Lett.,2005

2. Computational Intelligence Assisted Design: in Industrial Revolution 4.0;Chen,2018

3. Quantitative modelling of electricity consumption using computational intelligence aided design;Chen;J. Clean. Prod.,2014

4. BP Energy Outlook 2017 Edition BP Energy Outlook 2017 Edition;Dudley,2017

5. Monitoring sand particle concentration in multiphase flow using acoustic emission technology;El-Alej;World Acad. Sci. Eng. Technol.,2014

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