A liquid loading prediction method of gas pipeline based on machine learning-Reference-Cited by-同舟云学术

A liquid loading prediction method of gas pipeline based on machine learning

Published:2022-12 Issue:6 Volume:19 Page:3004-3015
ISSN:1995-8226
Container-title:Petroleum Science
language:en
Short-container-title:Petroleum Science

Author:

Hong Bing-Yuan,Liu Sheng-Nan,Li Xiao-Ping,Fan Di,Ji Shuai-Peng,Chen Si-Hang,Li Cui-Cui,Gong Jing

Publisher

Elsevier BV

Subject

Economic Geology,Geochemistry and Petrology,Geology,Geophysics,Energy Engineering and Power Technology,Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference45 articles.

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3. A unified model for predicting flow-pattern transitions for the whole range of pipe inclinations;Barnea;Int. J. Multiphas. Flow,1987

4. Decision tree modeling;Brown;Compr. Chemom.,2020

5. A new transient model of multi-scale bubble migration and evolution during gas-liquid flow in pipelines;Chen;J. Petrol. Sci. Eng.,2021

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