Enhanced oil recovery via metal oxide nanoparticles: A review of recent advancements, core mechanisms, and future outlook

Global conventional oil production has declined, and large volumes of hydrocarbons remain unrecovered in active reservoirs. This has increased demand for advanced enhanced oil recovery (EOR) technologies. Conventional methods, including chemical, thermal, and gas injection, to improve recovery but are often constrained by high costs, limited efficiency, and environmental and geological challenges. Nanotechnology is an emerging sector with high potential for applications across many sectors, including EOR. Metal oxide nanoparticles (NPs), such as alumina (Al₂O₃), titania (TiO₂), silica (SiO₂), zinc oxide (ZnO), and iron oxide (Fe₂O₃), have gained considerable attention throughout the years. Owing to their tunable surface properties, stability, and physicochemical versatility, screening criteria, these nanomaterials offer multiple pathways for improving oil recovery. The core mechanisms include changes in wettability, reductions in interfacial tension and disjoining pressure, foam stabilization, and variations in viscosity within porous media. This review aims to provide a comprehensive overview of the role of metal oxide nanoparticles in EOR, with emphasis on their synthesis, physicochemical characteristics, stability, effectiveness of nanoparticles, and practical applications under reservoir conditions. This review also focuses on the field challenges, such as pore jamming, retention losses, techno-economic models, and environmental profiling. By bringing together insights from experimental studies, theoretical applications, and field trials, this paper aims to become a bridge between laboratory research and large-scale industrial applications. The main goal is to create a tiered deployment roadmap (micro-pilots to full-field by 2028–2030), decisively advancing nano-EOR from lab promise to industrial reality. • Metal oxide nanoparticles boost oil recovery by altering wettability, reducing IFT, and modifying viscosity. • Silica is cost-effective for sandstone, alumina favors carbonate reservoirs, and iron oxides offer magnetic controllability. • High costs, scalability challenges, and reservoir instability hinder widespread field application. • Sustainable "green" synthesis methods are essential to mitigate risks like aquatic toxicity and soil contamination. • Smart trigger-responsive systems and machine learning will drive future EOR optimization.

Authors

Institutions

Publication Details

Journal
Next Materials
Published
2026-04-11
DOI
https://doi.org/10.1016/j.nxmate.2026.102004
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

Enhanced oil recovery via metal oxide nanoparticles: A review of recent advancements, core mechanisms, and future outlook

Mahmud Al Noor Tushar, H.M. Wasi Uddin, Qazi Riti Mahpara Progoti, Sadit Bihongo Malitha et al.
Next Materials
Enhanced Oil Recovery Techniques
article

Enhanced oil recovery via metal oxide nanoparticles: A review of recent advancements, core mechanisms, and future outlook

Mahmud Al Noor Tushar, H.M. Wasi Uddin, Qazi Riti Mahpara Progoti, Sadit Bihongo Malitha, Arpita Dutta, Tasfik Saif
article en

Abstract

Global conventional oil production has declined, and large volumes of hydrocarbons remain unrecovered in active reservoirs. This has increased demand for advanced enhanced oil recovery (EOR) technologies. Conventional methods, including chemical, thermal, and gas injection, to improve recovery but are often constrained by high costs, limited efficiency, and environmental and geological challenges. Nanotechnology is an emerging sector with high potential for applications across many sectors, including EOR. Metal oxide nanoparticles (NPs), such as alumina (Al₂O₃), titania (TiO₂), silica (SiO₂), zinc oxide (ZnO), and iron oxide (Fe₂O₃), have gained considerable attention throughout the years. Owing to their tunable surface properties, stability, and physicochemical versatility, screening criteria, these nanomaterials offer multiple pathways for improving oil recovery. The core mechanisms include changes in wettability, reductions in interfacial tension and disjoining pressure, foam stabilization, and variations in viscosity within porous media. This review aims to provide a comprehensive overview of the role of metal oxide nanoparticles in EOR, with emphasis on their synthesis, physicochemical characteristics, stability, effectiveness of nanoparticles, and practical applications under reservoir conditions. This review also focuses on the field challenges, such as pore jamming, retention losses, techno-economic models, and environmental profiling. By bringing together insights from experimental studies, theoretical applications, and field trials, this paper aims to become a bridge between laboratory research and large-scale industrial applications. The main goal is to create a tiered deployment roadmap (micro-pilots to full-field by 2028–2030), decisively advancing nano-EOR from lab promise to industrial reality. • Metal oxide nanoparticles boost oil recovery by altering wettability, reducing IFT, and modifying viscosity. • Silica is cost-effective for sandstone, alumina favors carbonate reservoirs, and iron oxides offer magnetic controllability. • High costs, scalability challenges, and reservoir instability hinder widespread field application. • Sustainable "green" synthesis methods are essential to mitigate risks like aquatic toxicity and soil contamination. • Smart trigger-responsive systems and machine learning will drive future EOR optimization.

Next MaterialsVol. 12
University of Dhaka (BD)
Openalex Percentile: Top 16%
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.