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Nanofluid enhanced oil recovery using induced ZnO nanocrystals by electromagnetic energy: Viscosity increment

TLDR
In this paper, the authors investigated the influence of the combination of zinc oxide nanocrystals (ZnO-NCs) with EM energy irradiation on the recovery efficiency of enhanced oil recovery.
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This article is published in Fuel.The article was published on 2018-12-01. It has received 49 citations till now. The article focuses on the topics: Enhanced oil recovery & Nanofluid.

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Towards hybrid nanofluids: Preparation, thermophysical properties, applications, and challenges

TL;DR: In this paper, the authors seek the attention of young scholars and experts working in the field of heat transfer by discussing the applications and challenges of hybrid nanofluids with a concise discussion on its history, synthesis techniques, thermophysical properties, research gaps, future directions, current status, and the leading groups, organizations and countries around the world.
Journal ArticleDOI

Review on application of nanoparticles for EOR purposes: A critical review of the opportunities and challenges

TL;DR: In this paper, the effects of different types of nanoparticles and different nanoparticle concentrations on EOR processes were investigated, and the results showed that nanoparticles have the ability to reduce the IFT as well as contact angle, making the solid surface to more water wet.
Journal ArticleDOI

Application of bare nanoparticle-based nanofluids in enhanced oil recovery

TL;DR: In this article, the authors discuss the current state and future prospects of nanofluids consisting of bare nanoparticles (NPs) in aqueous media and their application in EOR.
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Laboratory study and field application of amphiphilic molybdenum disulfide nanosheets for enhanced oil recovery

TL;DR: In this article , the octadecyl amine (ODA) molecules were grafted onto the surfaces of molybdenum disulfide nanosheets due to the presence of defects on the MoS2 surfaces.
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Experimental investigation, binary modelling and artificial neural network prediction of surfactant adsorption for enhanced oil recovery application.

TL;DR: The integrated workflow followed in this study is quite innovative as it has not been employed before for surfactant adsorption studies, and the utilization of ANN for such prediction procedure can minimize the experimental time, operating cost and give feasible predictions compared to other computational methods.
References
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Journal ArticleDOI

Particles as surfactants—similarities and differences

TL;DR: In this paper, the authors compare the behavior observed in systems containing either particles or surfactant molecules in the areas of adsorption to interfaces, partitioning between phases and solid-stabilised emulsions and foams.
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When will fossil fuel reserves be diminished

TL;DR: In this article, the authors presented a new formula for calculating when fossil fuel reserves are likely to be depleted and developed an econometrics model to demonstrate the relationship between fossil fuel reserve and some main variables.
Journal ArticleDOI

Semiconductor Nanocrystals: Structure, Properties, and Band Gap Engineering

TL;DR: Recent advances in the understanding of the atomic structure and optical properties of semiconductor nanocrystals are discussed and new strategies for band gap and electronic wave function engineering to control the location of charge carriers are discussed.
Book

Particle Deposition and Aggregation: Measurement, Modelling and Simulation

TL;DR: In this article, a unified approach to the measurement, modelling and simulation of these processes is presented, bringing together the disciplines of colloid and surface chemistry, hydrodynamics, and experimental and computational methods.
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