Adsorption of non-ionic surfactants on organoclays in drilling fluid investigated by molecular descriptors and Monte Carlo random walk simulations

Non-ionic surfactants have been used as a rheology control additive in drilling fluids to prevent flocculation of solids, such as organoclays, and maintain mud dispersion. Here, the fundamental phenomena involved in non-ionic surfactant adsorption on organoclays and how it affects the rheology of sy...

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Main Authors: Kania, Dina, Yunus, Robiah, Omar, Rozita, Abdul Rashid, Suraya, Mohamed Jan, Badrul, Aulia, Akmal
Format: Article
Published: Elsevier 2021
Online Access:http://psasir.upm.edu.my/id/eprint/95716/
https://www.sciencedirect.com/science/article/pii/S0169433220329111
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spelling my.upm.eprints.957162023-04-06T04:57:45Z http://psasir.upm.edu.my/id/eprint/95716/ Adsorption of non-ionic surfactants on organoclays in drilling fluid investigated by molecular descriptors and Monte Carlo random walk simulations Kania, Dina Yunus, Robiah Omar, Rozita Abdul Rashid, Suraya Mohamed Jan, Badrul Aulia, Akmal Non-ionic surfactants have been used as a rheology control additive in drilling fluids to prevent flocculation of solids, such as organoclays, and maintain mud dispersion. Here, the fundamental phenomena involved in non-ionic surfactant adsorption on organoclays and how it affects the rheology of synthetic-based drilling fluids were elucidated by the analysis of molecular descriptors and Monte Carlo simulations. Using the Random Forests machine learning algorithm software, the non-ionic surfactant adsorption on organoclays was found to be affected mainly by the hydrophobicity and molecular shape of hydrophobic chains of non-ionic surfactants. Molecular descriptor calculations indicated that the hydrophobic interaction and van der Waals forces are dominant factors. Then, the Monte Carlo simulations provided the empirical effect of the non-ionic surfactant hydrophobic chains on their self-assembly to organoclays. Molecules with two chains were found to be easily adsorbed to the surface due to molecular size, while molecules with three and four chains occupy more sites and interact with each other more frequently, forming larger clusters. Consequently, non-ionic surfactants with more hydrophobic chains were predicted to improve rheology of drilling fluids and form stable mud emulsions. This approach is useful in predicting the effects of new additive in drilling fluid formulation. Elsevier 2021 Article PeerReviewed Kania, Dina and Yunus, Robiah and Omar, Rozita and Abdul Rashid, Suraya and Mohamed Jan, Badrul and Aulia, Akmal (2021) Adsorption of non-ionic surfactants on organoclays in drilling fluid investigated by molecular descriptors and Monte Carlo random walk simulations. Applied Surface Science, 538. art. no. 148154. pp. 1-9. ISSN 0169-4332; ESSN: 1873-5584 https://www.sciencedirect.com/science/article/pii/S0169433220329111 10.1016/j.apsusc.2020.148154
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
description Non-ionic surfactants have been used as a rheology control additive in drilling fluids to prevent flocculation of solids, such as organoclays, and maintain mud dispersion. Here, the fundamental phenomena involved in non-ionic surfactant adsorption on organoclays and how it affects the rheology of synthetic-based drilling fluids were elucidated by the analysis of molecular descriptors and Monte Carlo simulations. Using the Random Forests machine learning algorithm software, the non-ionic surfactant adsorption on organoclays was found to be affected mainly by the hydrophobicity and molecular shape of hydrophobic chains of non-ionic surfactants. Molecular descriptor calculations indicated that the hydrophobic interaction and van der Waals forces are dominant factors. Then, the Monte Carlo simulations provided the empirical effect of the non-ionic surfactant hydrophobic chains on their self-assembly to organoclays. Molecules with two chains were found to be easily adsorbed to the surface due to molecular size, while molecules with three and four chains occupy more sites and interact with each other more frequently, forming larger clusters. Consequently, non-ionic surfactants with more hydrophobic chains were predicted to improve rheology of drilling fluids and form stable mud emulsions. This approach is useful in predicting the effects of new additive in drilling fluid formulation.
format Article
author Kania, Dina
Yunus, Robiah
Omar, Rozita
Abdul Rashid, Suraya
Mohamed Jan, Badrul
Aulia, Akmal
spellingShingle Kania, Dina
Yunus, Robiah
Omar, Rozita
Abdul Rashid, Suraya
Mohamed Jan, Badrul
Aulia, Akmal
Adsorption of non-ionic surfactants on organoclays in drilling fluid investigated by molecular descriptors and Monte Carlo random walk simulations
author_facet Kania, Dina
Yunus, Robiah
Omar, Rozita
Abdul Rashid, Suraya
Mohamed Jan, Badrul
Aulia, Akmal
author_sort Kania, Dina
title Adsorption of non-ionic surfactants on organoclays in drilling fluid investigated by molecular descriptors and Monte Carlo random walk simulations
title_short Adsorption of non-ionic surfactants on organoclays in drilling fluid investigated by molecular descriptors and Monte Carlo random walk simulations
title_full Adsorption of non-ionic surfactants on organoclays in drilling fluid investigated by molecular descriptors and Monte Carlo random walk simulations
title_fullStr Adsorption of non-ionic surfactants on organoclays in drilling fluid investigated by molecular descriptors and Monte Carlo random walk simulations
title_full_unstemmed Adsorption of non-ionic surfactants on organoclays in drilling fluid investigated by molecular descriptors and Monte Carlo random walk simulations
title_sort adsorption of non-ionic surfactants on organoclays in drilling fluid investigated by molecular descriptors and monte carlo random walk simulations
publisher Elsevier
publishDate 2021
url http://psasir.upm.edu.my/id/eprint/95716/
https://www.sciencedirect.com/science/article/pii/S0169433220329111
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score 13.18916