Online detection of mixed oil interface in multi-product pipeline using near-infrared spectroscopy-Reference-Cited by-同舟云学术

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Online detection of mixed oil interface in multi-product pipeline using near-infrared spectroscopy

Published:2024-11 Issue: Volume:206 Page:111480
ISSN:0026-265X
Container-title:Microchemical Journal
language:en
Short-container-title:Microchemical Journal

Author:

Qiu Shujuan,Zhang Kaiyu,Shen Liang,Yuan Hongfu,Fan Xilei,Song Chunfeng,Yang Yunlong,Hu Aiqin,Zhang Xiang,Zhang Changxi

Publisher

Elsevier BV

Reference53 articles.

1. Deeppipe: A two-stage physics-informed neural network for predicting mixed oil concentration distribution;Du;Energy,2023

2. Energy saving and consumption reduction in the transportation of petroleum products: A pipeline pricing optimization perspective;Tu;Appl. Energy,2023

3. Physics-based Bayesian linear regression model for predicting length of mixed oil;Yuan;Geoenergy Sci. Eng.,2023

4. Numerical study of crude oil batch mixing in a long channel;Sepehr;Pet. Sci.,2019

5. Deeppipe: An intelligent framework for predicting mixed oil concentration in multi-product pipeline;Du;Energy,2023

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