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A new dynamic model of crude oil fouling deposits and its application to the simulation of fouling‐cleaning cycles

Authors: Diaz Bejarano, E; Coletti, F; Macchietto, S;

A new dynamic model of crude oil fouling deposits and its application to the simulation of fouling‐cleaning cycles

Abstract

Modelling of crude oil fouling in heat exchangers has been traditionally limited to a description of the deposit as a thermal resistance. However, consideration of the local change in thickness and the evolution of the properties of the deposit due to ageing or changes in foulant composition is important to capture the thermal and hydraulic impact of fouling. A dynamic, distributed, first‐principles model of the deposit is presented that considers it as a multicomponent varying‐thickness solid undergoing multiple reactions. For the first time, full cleaning, partial cleaning, and fouling resumption after cleaning can be simulated in any order with a single deposit model. The new model, implemented within a single tube framework, is demonstrated in a case study where various cleaning actions are applied following a period of organic deposition. It is shown that complete mechanical cleaning and chemical cleaning of different extent, according to a condition‐based efficacy, can be seamlessly simulated. © 2015 American Institute of Chemical Engineers AIChE J, 62: 90–107, 2016

Country
United Kingdom
Related Organizations
Keywords

Technology, Engineering, Chemical, fouling, 330, IMPACT, Cleaning, REFINERY, 0904 Chemical Engineering, cleaning, Chemical, MITIGATION, 630, Crude oil, Mathematical model, Engineering, crude oil, Science & Technology, SUBJECT, 0914 Resources Engineering and Extractive Metallurgy, Fouling, Chemical Engineering, simulation, 620, HEAT-EXCHANGERS, CFD, COKE FORMATION, Simulation, mathematical model

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    33
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
33
Top 10%
Top 10%
Top 10%
Green
bronze