Influence of Nanoparticles and Surfactants on Stability and Rheological Behavior of Polymeric Nanofluids and the Potential Applications in Fracturing Fluids

Tang, Wenyue; Zou, Changjun; Peng, Hong; Wang, Yixin; Shi, Lihong

doi:10.1021/acs.energyfuels.0c04339

Cited by 31 publications

(25 citation statements)

References 56 publications

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“…This result could be attributed to the reinforced interactions between the nano-silica and the thickener matrix, When the nanosilica was introduced, it provided more bridge nodes and enhanced the strength of the spatial network. The well-dispersed nano-silica in the thickener matrix could reduce the degradation of thickener molecules by improving molecular rigidity, enhancing the resistance to the shear action and hindrance to vortices, thus showing better drag reduction performance in the turbulent state [ 46 ].…”

Section: Resultsmentioning

confidence: 99%

Comparative Studies on Thickeners as Hydraulic Fracturing Fluids: Suspension versus Powder

Shi

Sun²,

Lv³

et al. 2022

Gels

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To overcome the problems of long dissolution time and high investment in surface facilities of powder thickeners in hydraulic fracturing, a novel suspension of a thickener as a fracturing fluid was prepared using powder polyacrylamide, nano-silica, and polyethylene glycol by high-speed mixing. The suspension and powder were compared in terms of properties of solubility, rheological behavior, sand carrying, drag reduction, and gel breaking. The results showed that the suspension could be quickly diluted in brine within 5 min, whereas the dissolution time of powder was 120 min. The suspension exhibited better performance in salt resistance, temperature resistance, shear resistance, viscoelasticity, sand carrying, and drag reduction than powder. The powder solution was broken more easily and had a lower viscosity than suspension diluent. These improvements in properties of the suspension were due to the dispersion of nano-silica in the polymer matrix; the mobility of thickener chains was inhibited by the steric hindrance of the nano-silica. Nano-silica particles acted as crosslinkers by attaching thickener chains, which strengthened the network structure of the thickener solution. The presence of hydrogen bonds between the thickener matrix and the nano-silica restricted the local movement of thickener chains, leading to a stronger spatial network. Therefore, this novel suspension showed good potential for fracturing applications.

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Section: Resultsmentioning

confidence: 99%

Comparative Studies on Thickeners as Hydraulic Fracturing Fluids: Suspension versus Powder

Shi

Sun²,

Lv³

et al. 2022

Gels

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“…NFs have better thermal conductivities and thermophysical characteristics . That is why NFs are preferred for use in thermal management systems and heat transfer devices . At present NFs are being used in solar collectors, hydroelectric rotors, geothermal heat exchangers, , wind turbines, fuel cells, , chemical process plants, and photovoltaic/thermal (PV/T) systems. , …”

Section: Introductionmentioning

confidence: 99%

“…19 That is why NFs are preferred for use in thermal management systems and heat transfer devices. 20 At present NFs are being used in solar collectors, 21 hydroelectric rotors, 22 geothermal heat exchangers, 23,24 wind turbines, 25 fuel cells, 26,27 chemical process plants, 28 and photovoltaic/thermal (PV/T) systems. 29,30 The addition of nanosized particles to base fluids has a greater impact on the thermophysical characteristics of nanofluids.…”

mentioning

confidence: 99%

Recent Advances in Machine Learning Research for Nanofluid-Based Heat Transfer in Renewable Energy System

Sharma¹,

Said

Kumar³

et al. 2022

Energy Fuels

222

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Nanofluids have gained significant popularity in the field of sustainable and renewable energy systems. The heat transfer capacity of the working fluid has a huge impact on the efficiency of the renewable energy system. The addition of a small amount of high thermal conductivity solid nanoparticles to a base fluid improves heat transfer. Even though a large amount of research data is available in the literature, some results are contradictory. Many influencing factors, as well as nonlinearity and refutations, make nanofluid research highly challenging and obstruct its potentially valuable uses. On the other hand, data-driven machine learning techniques would be very useful in nanofluid research for forecasting thermophysical features and heat transfer rate, identifying the most influential factors, and assessing the efficiencies of different renewable energy systems. The primary aim of this review study is to look at the features and applications of different machine learning techniques employed in the nanofluid-based renewable energy system, as well as to reveal new developments in machine learning research. A variety of modern machine learning algorithms for nanofluid-based heat transfer studies in renewable and sustainable energy systems are examined, along with their advantages and disadvantages. Artificial neural networks-based model prediction using contemporary commercial software is simple to develop and the most popular. The prognostic capacity may be further improved by combining a marine predator algorithm, genetic algorithm, swarm intelligence optimization, and other intelligent optimization approaches. In addition to the well-known neural networks and fuzzy- and gene-based machine learning techniques, newer ensemble machine learning techniques such as Boosted regression techniques, K-means, K-nearest neighbor (KNN), CatBoost, and XGBoost are gaining popularity due to their improved architectures and adaptabilities to diverse data types. The regularly used neural networks and fuzzy-based algorithms are mostly black-box methods, with the user having little or no understanding of how they function. This is the reason for concern, and ethical artificial intelligence is required.

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“…The second type is to change the micelle shape with the help of alcohol, alkanes, and surfactant. The thickener can be recycled, but it has some disadvantages such as uncontrollable gel-breaking time, damaging reservoir, difficult separation, and high cost ( Tang et al, 2021 ; Xue et al, 2021 ). Therefore, it is a critical problem to realize reversible gel breaking with controllable time, complete gel breaking, and low cost for constructing a clean fracturing fluid system.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation and Mechanism Study of Seawater-Based Circulatory Fracturing Fluid Based on pH-Regulated WormLike Micelles

Tang¹,

Song

Min

et al. 2022

Front. Chem.

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In this article, a novel salt-resistant pH-sensitive surfactant N-carboxystearamido methanesulfonic acid (MSA) was designed and synthesized. The rheological properties of the MSA/CTAB mixed system prepared using seawater were evaluated, and the variation laws of the related rheological parameters were discussed. The relevant fracturing technical parameters of the MSA/CTAB mixed system were comprehensively evaluated. The wormlike micelles formed by the non-covalent binding of MSA and CTAB molecules can resist the electrostatic effect of inorganic salts in the seawater. Meanwhile, the MSA/CTAB mixed system has an excellent pH response and revealed that the change from wormlike micelles to spherical micelles leads to the decrease of the apparent viscosity and the transition from Maxwell fluid to Newton-type fluid. Furthermore, the MSA/CTAB mixed system has excellent cyclic fracturing performance, which can meet the dual requirements of fracturing fluid cost and performance of offshore oilfield, and has a good application prospect.

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Influence of Nanoparticles and Surfactants on Stability and Rheological Behavior of Polymeric Nanofluids and the Potential Applications in Fracturing Fluids

Cited by 31 publications

References 56 publications

Comparative Studies on Thickeners as Hydraulic Fracturing Fluids: Suspension versus Powder

Comparative Studies on Thickeners as Hydraulic Fracturing Fluids: Suspension versus Powder

Recent Advances in Machine Learning Research for Nanofluid-Based Heat Transfer in Renewable Energy System

Performance Evaluation and Mechanism Study of Seawater-Based Circulatory Fracturing Fluid Based on pH-Regulated WormLike Micelles

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