Pore-scale modeling of complex reacting flow by cross-linked polymers in porous media

Cross-linked polymer gels are widely employed as deep profile control agents to enhance oil recovery, effectively mitigating channeling and improving sweep efficiency in heterogeneous reservoirs. However, the underlying mechanisms coupling cross-linking reactions, transport processes, and subsequent water flooding—particularly at the pore scale—remain inadequately understood. In this study, a novel micro-continuum reactive–transport solver was developed within the OpenFOAM-based Darcy–Brinkman–Stokes framework, incorporating a non-Newtonian constitutive model and kinetic source terms for cross-linking reactions. This solver was used to simulate the reaction–transport behavior of cross-linked polymers in porous media. Following validation, we systematically investigated polymer behavior across different stages and under varying reaction–transport regimes. The results reveal that during the injection stage, the spatial distribution of reaction products is predominantly controlled by the first Damköhler number (DaI). With increasing DaI, the morphology of polymer deposits evolves from dispersed low-concentration zones to highly concentrated accumulations near the inlet, resulting in the significant flow blockage. Throughout the gelation stage, the interplay between the DaI and the second Damköhler number (DaII) leads to four distinct spatial distribution patterns, each corresponding to a specific dominant mechanism. These patterns critically influence gel placement, concentration gradients, and sweep efficiency during the subsequent flooding. In the water flooding stage, the evolution of the residual resistance factor is highly dependent on the initial gel structure. Different spatial patterns exhibit markedly distinct flow resistance behaviors, with gels formed under high-reaction and low-diffusion conditions demonstrating superior stability against water flush. This work establishes a quantitative pore-scale framework for unraveling the coupled dynamics of reaction, transport, and scouring in cross-linked polymer systems.

Authors

Institutions

Publication Details

Journal
Physics of Fluids
Published
2025-12-01
DOI
https://doi.org/10.1063/5.0302759
Primary Topic
Enhanced Oil Recovery Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Pore-scale modeling of complex reacting flow by cross-linked polymers in porous media

Weijun Shen, Zhongcheng Li, Ning Li, Jianchun Xu et al.
Physics of Fluids
Enhanced Oil Recovery Techniques
article

Pore-scale modeling of complex reacting flow by cross-linked polymers in porous media

Weijun Shen, Zhongcheng Li, Ning Li, Jianchun Xu, Yang Xu, H. Chen
article en

Abstract

Cross-linked polymer gels are widely employed as deep profile control agents to enhance oil recovery, effectively mitigating channeling and improving sweep efficiency in heterogeneous reservoirs. However, the underlying mechanisms coupling cross-linking reactions, transport processes, and subsequent water flooding—particularly at the pore scale—remain inadequately understood. In this study, a novel micro-continuum reactive–transport solver was developed within the OpenFOAM-based Darcy–Brinkman–Stokes framework, incorporating a non-Newtonian constitutive model and kinetic source terms for cross-linking reactions. This solver was used to simulate the reaction–transport behavior of cross-linked polymers in porous media. Following validation, we systematically investigated polymer behavior across different stages and under varying reaction–transport regimes. The results reveal that during the injection stage, the spatial distribution of reaction products is predominantly controlled by the first Damköhler number (DaI). With increasing DaI, the morphology of polymer deposits evolves from dispersed low-concentration zones to highly concentrated accumulations near the inlet, resulting in the significant flow blockage. Throughout the gelation stage, the interplay between the DaI and the second Damköhler number (DaII) leads to four distinct spatial distribution patterns, each corresponding to a specific dominant mechanism. These patterns critically influence gel placement, concentration gradients, and sweep efficiency during the subsequent flooding. In the water flooding stage, the evolution of the residual resistance factor is highly dependent on the initial gel structure. Different spatial patterns exhibit markedly distinct flow resistance behaviors, with gels formed under high-reaction and low-diffusion conditions demonstrating superior stability against water flush. This work establishes a quantitative pore-scale framework for unraveling the coupled dynamics of reaction, transport, and scouring in cross-linked polymer systems.

Physics of FluidsVol. 37(12)
Chinese Academy of Sciences (CN), Research Institute of Petroleum Exploration and Development (CN), Institute of Mechanics (CN), China University of Petroleum, East China (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 51%
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.