Imperial College London

Prof. Sandro Macchietto

Faculty of EngineeringDepartment of Chemical Engineering

Professor of Process Systems Engineering



+44 (0)20 7594 6608s.macchietto Website




Miss Nazma Mojid +44 (0)20 7594 3918




ACEX 507ACE ExtensionSouth Kensington Campus






BibTex format

author = {Diaz-Bejarano, E and Coletti, F and Macchietto, S},
doi = {10.1016/j.applthermaleng.2018.05.097},
journal = {Applied Thermal Engineering},
pages = {666--674},
title = {Complex crude oil fouling layers: use of model predictions to detect inorganics breakthrough},
url = {},
volume = {141},
year = {2018}

RIS format (EndNote, RefMan)

AB - 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.
AU - Diaz-Bejarano,E
AU - Coletti,F
AU - Macchietto,S
DO - 10.1016/j.applthermaleng.2018.05.097
EP - 674
PY - 2018///
SN - 1359-4311
SP - 666
TI - Complex crude oil fouling layers: use of model predictions to detect inorganics breakthrough
T2 - Applied Thermal Engineering
UR -
UR -
UR -
VL - 141
ER -