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Advanced Nanotechnology for Enhanced Oil Recovery: Optimizing Nanomaterial Performance for Sustainable and Efficient Extraction

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Abstract:

Enhanced Oil Recovery (EOR) methods are increasingly essential as traditional extraction techniques face declining efficiency and mounting environmental concerns. Nanotechnology offers a promising approach by integrating engineered nanomaterials such as carbon nanotubes (CNTs), graphene oxide, and metal oxide nanoparticles to improve oil displacement. This study evaluates the role of nanomaterials in modifying wettability, reducing interfacial tension, and enhancing mobility control in reservoirs. Experimental results show that optimized CNT concentrations increase oil recovery by up to 18%, while graphene oxide achieves a 22% enhancement. Additionally, the integration of artificial intelligence (AI) with nanoEOR enables real-time optimization of nanofluid deployment. Despite notable progress, challenges such as nanoparticle stability, economic feasibility, and environmental impact remain. Addressing these challenges through advanced synthesis methods, scalable nanofluid production, and AI-driven predictive modeling will accelerate the commercialization of nanoEOR technologies, facilitating more sustainable and efficient oil extraction.

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Periodical:

Defect and Diffusion Forum (Volume 445)

Pages:

165-176

DOI:

https://doi.org/10.4028/p-U8Aklz

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Online since:

December 2025

Authors:

Maziyar Sabet*, Hassan Soleimani

Keywords:

AI Optimization, Carbon Nanotubes, Enhanced Oil Recovery, Graphene Oxide, Nanotechnology, Sustainable Oil Extraction, Wettability Alteration

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© 2025 Trans Tech Publications Ltd. All Rights Reserved

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