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Published in 2021 at "Chemometrics and Intelligent Laboratory Systems"
DOI: 10.1016/j.chemolab.2020.104220
Abstract: ABSTRACT The purpose of this study is to develop a reliable predictive model using machine learning algorithms that will predict asphaltene adsorption on MgO nanoparticles. Three machine learning (ML) algorithms namely gradient boosting machine (GBM),…
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Keywords:
mgo;
adsorption;
asphaltene adsorption;
mgo nanoparticles ... See more keywords
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Published in 2017 at "Energy & Fuels"
DOI: 10.1021/acs.energyfuels.7b01374
Abstract: Fouling by asphaltene, which constitutes the densest, most polar fraction of crude oil, poses a serious problem for the oil production industry. In order to obtain a fundamental understanding of asphaltene deposition, it is necessary…
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Keywords:
adsorption toluene;
adsorption;
asphaltene adsorption;
model ... See more keywords
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Published in 2020 at "Energy & Fuels"
DOI: 10.1021/acs.energyfuels.9b03864
Abstract: In this study, we investigated the stability of asphaltene adsorption structures at the oil–water interface, focusing on the role of heteroatoms, by molecular dynamics simulations. We employed an o...
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Keywords:
role heteroatoms;
asphaltene adsorption;
oil water;
water interface ... See more keywords
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Published in 2022 at "ACS Omega"
DOI: 10.1021/acsomega.2c04811
Abstract: The interaction between functionalized graphene and metal porphyrins was studied for a better understanding of the influence of the N and O heteroatoms in asphaltene on demetallization efficiency during the solvent deasphalting process. The theoretical…
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Keywords:
adsorption;
heteroatoms asphaltene;
asphaltene adsorption;
metal porphyrins ... See more keywords