Molecular Dynamics Simulation of the Effects of Anionic–Nonionic Surfactants on Interfacial Properties of the Oil–Water Interface

Surfactant oil drive is a crucially enhanced oil recovery method that improves oil recovery rates. The aggregation behavior of surfactant molecules at the oil-water interface significantly influences oil repulsion. In this study, a molecular dynamics simulation is used to investigate this repellent behavior of single and binary surfactants of alkanolamides (6501) and fatty alcohol polyoxyethylene ether sodium sulfate (AES). The oil-water interface is characterized by density distribution, interfacial thickness, radial distribution function, interfacial tension, and interfacial generation energy. The results reveal that the dodecanolamide surfactant (126501) and AES effectively reduce interfacial tension. In the binary 126501/AES system, the interfacial film thickness increases to 18.08 Å, and the diffusion coefficient increases to 0.186 Å<sup>2</sup>/ps. The radial distribution function shows that oil molecules are located 4.2 Å from the anionic head of AES, which weakens the intermolecular forces within the oil layer. In the 126501/AES system, the interfacial energy of -96.12 kJ/mol indicates a stable interface. Moreover, both the 126501/AES and tetradecanolamide surfactant (146501)/AES systems exhibit excellent resistance to metal ions. The molecular-level mechanism provides useful guidance for designing the surfactant systems for enhanced oil recovery.

Authors

Institutions

Publication Details

Journal
ACS Omega
Published
2025-03-13
DOI
https://doi.org/10.1021/acsomega.4c11148
Citations
3
Primary Topic
Petroleum Processing and Analysis
Type
article
Field-Weighted Citation Impact
2.26
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Molecular Dynamics Simulation of the Effects of Anionic–Nonionic Surfactants on Interfacial Properties of the Oil–Water Interface

Y. Wang, Jinpan Zhong, Deshuai Sun, Kai Xia et al.
3 citations
ACS Omega
Petroleum Processing and Analysis
2.26
article

Molecular Dynamics Simulation of the Effects of Anionic–Nonionic Surfactants on Interfacial Properties of the Oil–Water Interface

Y. Wang, Jinpan Zhong, Deshuai Sun, Kai Xia, Ping Liu, Zhaojun Chen, Luxuan Ma, Yangwen Zhu, Hongmin Yu, Li Zhang
article en
3 citations

Abstract

Surfactant oil drive is a crucially enhanced oil recovery method that improves oil recovery rates. The aggregation behavior of surfactant molecules at the oil-water interface significantly influences oil repulsion. In this study, a molecular dynamics simulation is used to investigate this repellent behavior of single and binary surfactants of alkanolamides (6501) and fatty alcohol polyoxyethylene ether sodium sulfate (AES). The oil-water interface is characterized by density distribution, interfacial thickness, radial distribution function, interfacial tension, and interfacial generation energy. The results reveal that the dodecanolamide surfactant (126501) and AES effectively reduce interfacial tension. In the binary 126501/AES system, the interfacial film thickness increases to 18.08 Å, and the diffusion coefficient increases to 0.186 Å<sup>2</sup>/ps. The radial distribution function shows that oil molecules are located 4.2 Å from the anionic head of AES, which weakens the intermolecular forces within the oil layer. In the 126501/AES system, the interfacial energy of -96.12 kJ/mol indicates a stable interface. Moreover, both the 126501/AES and tetradecanolamide surfactant (146501)/AES systems exhibit excellent resistance to metal ions. The molecular-level mechanism provides useful guidance for designing the surfactant systems for enhanced oil recovery.

ACS OmegaVol. 10(11)
Sinopec (China) (CN), Qingdao University (CN), State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation (CN), Research Institute of Petroleum Exploration and Development (CN), Centre for Sustainable Energy (GB)
Clean water and sanitation
Openalex Percentile: Top 14%
Petroleum Processing and Analysis
2.26
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.