A Systematic Computational Study of Oil Displacement Processes in Terrigenous and Cavernous-Fractured Porous Media Using Surfactant Solutions

This paper presents the results of a numerical simulation of oil displacement from models of terrigenous and cavernous-fractured media using solutions of the anionic surfactant (sodium laureth sulfate). The surfactant concentration was varied from 0 to 0.1 wt.%. The simulations employed a mathematical model for the flow of immiscible liquids based on the VOF method. The model incorporated experimentally measured interfacial tension coefficients and wettability parameters for the surfactant solutions. The results demonstrate that increasing the surfactant concentration enhances the oil displacement coefficient: by 15% for the terrigenous model and by 19% for the cavernous-fractured model compared to water flooding (at 0 wt.% surfactant), achieving a maximum at a concentration of 0.1 wt.%. The influence of potential mechanisms leading to the improved oil displacement coefficient during surfactant solution injection was investigated. It was established that at a fixed displacement rate, the addition of the surfactant causes a local increase in the generalized capillary number by a factor of approximately 3.7. This is identified as the primary mechanism for the observed enhancement of the oil displacement coefficient in this case. The data obtained in this study can be used for further improvement of surfactant flooding technologies for enhanced oil recovery.

Authors

Institutions

Publication Details

Journal
Modelling—International Open Access Journal of Modelling in Engineering Science
Published
2025-11-20
DOI
https://doi.org/10.3390/modelling6040152
Primary Topic
Enhanced Oil Recovery Techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Systematic Computational Study of Oil Displacement Processes in Terrigenous and Cavernous-Fractured Porous Media Using Surfactant Solutions

S. V. Ivanova, Владимир Алексеевич Жигарев, Д В Гузей, Maxim I. Pryazhnikov et al.
Modelling—International Open Access Journal of Modelling in Engineering Science
Enhanced Oil Recovery Techniques
article

A Systematic Computational Study of Oil Displacement Processes in Terrigenous and Cavernous-Fractured Porous Media Using Surfactant Solutions

S. V. Ivanova, Владимир Алексеевич Жигарев, Д В Гузей, Maxim I. Pryazhnikov, Andrey Viktorovich Minakov
article en

Abstract

This paper presents the results of a numerical simulation of oil displacement from models of terrigenous and cavernous-fractured media using solutions of the anionic surfactant (sodium laureth sulfate). The surfactant concentration was varied from 0 to 0.1 wt.%. The simulations employed a mathematical model for the flow of immiscible liquids based on the VOF method. The model incorporated experimentally measured interfacial tension coefficients and wettability parameters for the surfactant solutions. The results demonstrate that increasing the surfactant concentration enhances the oil displacement coefficient: by 15% for the terrigenous model and by 19% for the cavernous-fractured model compared to water flooding (at 0 wt.% surfactant), achieving a maximum at a concentration of 0.1 wt.%. The influence of potential mechanisms leading to the improved oil displacement coefficient during surfactant solution injection was investigated. It was established that at a fixed displacement rate, the addition of the surfactant causes a local increase in the generalized capillary number by a factor of approximately 3.7. This is identified as the primary mechanism for the observed enhancement of the oil displacement coefficient in this case. The data obtained in this study can be used for further improvement of surfactant flooding technologies for enhanced oil recovery.

Modelling—International Open Access Journal of Modelling in Engineering ScienceVol. 6(4)
Siberian Federal University (RU)
Siberian Federal University, Ministry of Science and Higher Education of the Russian Federation
Openalex Percentile: Top 56%
Enhanced Oil Recovery Techniques
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.