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Complex crude oil fouling layers: use of model predictions to detect inorganics breakthrough

Title: Complex crude oil fouling layers: use of model predictions to detect inorganics breakthrough
Authors: Diaz-Bejarano, E
Coletti, F
Macchietto, S
Item Type: Journal Article
Abstract: Crude oil fouling models have greatly improved in the past two decades. However, most models focus on the deposition of organic species at high temperatures (i.e. greater than 200 °C). In this paper, a deposit model, capable of capturing simultaneously the deposition of both organic and inorganic species, is used to track deposition history in a shell-and-tube heat exchanger at the hot end of a refinery pre-heat train. The model was previously fitted to plant data and the results compared to the experimental characterization of deposits. It is shown that such a model, together with plant data, can be used (i) to describe the development of complex deposit layers; (ii) to detect and diagnose changes in composition of the deposit. From a practical perspective, it is then possible to alert plant operators of unexpected events such as breakthrough of inorganics at an early stage and help in planning corrective actions.
Issue Date: 1-Aug-2018
Date of Acceptance: 26-May-2018
URI: http://hdl.handle.net/10044/1/69435
DOI: https://dx.doi.org/10.1016/j.applthermaleng.2018.05.097
ISSN: 1359-4311
Publisher: Elsevier
Start Page: 666
End Page: 674
Journal / Book Title: Applied Thermal Engineering
Volume: 141
Copyright Statement: © 2018 Elsevier Ltd. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/
Keywords: Science & Technology
Physical Sciences
Technology
Thermodynamics
Energy & Fuels
Engineering, Mechanical
Mechanics
Engineering
Crude oil
Fouling
Inorganics
Heat exchanger
Monitoring
Diagnosis
PREHEAT TRAINS
HEAT-EXCHANGERS
REFINERY
MITIGATION
SIMULATION
DEPOSITS
0913 Mechanical Engineering
0915 Interdisciplinary Engineering
Energy
Publication Status: Published
Online Publication Date: 2018-05-26
Appears in Collections:Faculty of Engineering
Chemical Engineering



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