Understanding the Aggregation of Model Island and Archipelago Asphaltene Molecules near Kaolinite Surfaces using Molecular Dynamics.


Journal

Energy & fuels : an American Chemical Society journal
ISSN: 0887-0624
Titre abrégé: Energy Fuels
Pays: United States
ID NLM: 100971627

Informations de publication

Date de publication:
17 Aug 2023
Historique:
received: 15 02 2023
revised: 29 06 2023
medline: 23 8 2023
pubmed: 23 8 2023
entrez: 23 8 2023
Statut: epublish

Résumé

The solubility of asphaltenes in hydrocarbons changes with pressure, composition, and temperature, leading to precipitation and deposition, thereby causing one of the crucial problems that negatively affects oil production, transportation, and processing. Because, in some circumstances, it might be advantageous to promote asphaltene agglomeration into small colloidal particles, molecular dynamics simulations were conducted here to understand the impacts of a chemical additive inspired by cyclohexane on the mechanism of aggregation of model island and archipelago asphaltene molecules in toluene. We compared the results in the presence and absence of a kaolinite surface at 300 and 400 K. Cluster size analyses, radial distribution functions, angles between asphaltenes, radius of gyration, and entropic and energetic calculations were used to provide insights on the behavior of these systems. The results show that the hypothetical additive inspired by cyclohexane promoted the aggregation of both asphaltenes. Structural differences were observed among the aggregates obtained in our simulations. These differences are attributed to the number of aromatic cores and side chains on the asphaltene molecules as well as to that of heteroatoms. For the island structure, aggregation in the bulk phase was less pronounced than that in the proximity of the kaolinite surface, whereas the opposite was observed for the archipelago structure. In both cases, the additive promoted stacking of asphaltenes, yielding more compact aggregates. The results provided insights into the complex nature of asphaltene aggregation, although computational approaches that can access longer time and larger size scales should be chosen for quantifying emergent meso- and macroscale properties of systems containing asphaltenes in larger numbers than those that can currently be sampled via atomistic simulations.

Identifiants

pubmed: 37609063
doi: 10.1021/acs.energyfuels.3c00504
pmc: PMC10440792
doi:

Types de publication

Journal Article

Langues

eng

Pagination

11662-11674

Informations de copyright

© 2023 The Authors. Published by American Chemical Society.

Déclaration de conflit d'intérêts

The authors declare no competing financial interest.

Références

J Comput Chem. 2005 Dec;26(16):1701-18
pubmed: 16211538
J Chem Theory Comput. 2011 Jul 12;7(7):2240-52
pubmed: 26606493
J Phys Chem B. 2013 May 9;117(18):5765-76
pubmed: 23581711
J Phys Chem B. 2016 Jun 30;120(25):5646-54
pubmed: 27268710
Annu Rev Anal Chem (Palo Alto Calif). 2011;4:393-418
pubmed: 21689047
Molecules. 2022 Mar 07;27(5):
pubmed: 35268840
Langmuir. 2014 Aug 12;30(31):9370-7
pubmed: 24978299
J Phys Chem B. 2013 Apr 11;117(14):3829-40
pubmed: 23484906
J Phys Chem B. 2013 Jun 13;117(23):7002-14
pubmed: 23687962
Langmuir. 2014 May 20;30(19):5394-403
pubmed: 24784502
J Chem Theory Comput. 2008 Mar;4(3):435-47
pubmed: 26620784
J Colloid Interface Sci. 2011 Aug 1;360(1):233-8
pubmed: 21571295
Phys Chem Chem Phys. 2020 Jan 21;22(3):1204-1213
pubmed: 31848550

Auteurs

Azeezat Ali (A)

Department of Chemical Engineering, University College London, London WC1E 6BT, United Kingdom.

David R Cole (DR)

School of Earth Sciences, The Ohio State University, Columbus, Ohio 43210, United States.

Alberto Striolo (A)

Department of Chemical Engineering, University College London, London WC1E 6BT, United Kingdom.
School of Sustainable Chemical, Biological and Materials Engineering, The University of Oklahoma, Norman, Oklahoma 73019, United States.

Classifications MeSH