A novel approach for using silica nanoparticles in a proppant pack to fixate coal fines

Hydraulic fracturing operations in coal seam gas reservoirs are highly prone to release coal fines. Coal fines inevitably cause mechanical pump failure and permeability damage as a result of their hydrophobicity, aggregation in the system and pore-throat blockage. One approach to affix these coal fines at their source, and to retard generation, is to introduce a nanoparticle-treated proppant pack. Thus, this research explores coal fines retention (known as adsorption) in a proppant pack using nanoparticles. In the study, the electrolytic environment, pH, flow rate, temperature and pressure were kept constant, while the variables were concentration of silica nanoparticles (0–0.1 wt%) and coal fines concentration (0.1–1 wt%). The objective was to identify silica nano-formulations that effectively fixate coal fine dispersions. Subsequently, the coal suspensions flowed through a glass-bead proppant pack treated with and without nanoparticles, and were then analysed via a particle counter. The quantitative results from particle counter analysis showed that the proppant pack with nanoparticle treatment strongly affected the fixation ability of coal fines. The proppant pack without nanoparticle treatment showed up to 30% adsorption and flowed through the proppant untreated, while proppant pack treated with nanoparticles showed up to 74% adsorption; hence, more exceptional affixation ability to the coal fines. Further, the results indicated that the zeta-potential of silica nanoparticles at higher salinity became unstable, i.e. approximately –20 mV; this low value helped the proppant pack treated with nanoparticles to attach coal fines to it. The ability of nanoparticles to adsorb coal fines is due to their highly active surface, and high specific surface area.

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Hydrothermal synthesis of hierarchical boehmite (γ-AlOOH) hollow microspheres with highly active surface

AIP Advances ◽

10.1063/5.0050294 ◽

2021 ◽

Vol 11 (6) ◽

pp. 065209

Author(s):

Fang Wang ◽

Xue Yuan ◽

Dengwu Wang

Keyword(s):

Hydrothermal Synthesis ◽

Active Surface ◽

Hollow Microspheres ◽

Highly Active

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Surface Natrotantite Phase Induced Efficient Charge Carrier Separation and Highly Active Surface of TaON for Superior Enhanced Photocatalytic Performance

Advanced Materials Interfaces ◽

10.1002/admi.201600429 ◽

2016 ◽

Vol 3 (19) ◽

pp. 1600429 ◽

Cited By ~ 4

Author(s):

Yansong Zhou ◽

Gang Chen ◽

Yue Liu ◽

Fang He

Keyword(s):

Charge Carrier ◽

Photocatalytic Performance ◽

Active Surface ◽

Highly Active ◽

Efficient Charge ◽

Carrier Separation

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Catalytic Activity of Oxidation-Reduction Pre-Treated Ni3Al for Methane Steam Reforming

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.89-91.645 ◽

2010 ◽

Vol 89-91 ◽

pp. 645-650 ◽

Cited By ~ 2

Author(s):

Ya Xu ◽

Dong Hyun Chun ◽

Jun Hyuk Jang ◽

Masahiko Demura ◽

Dang Moon Wee ◽

...

Keyword(s):

Catalytic Activity ◽

Steam Reforming ◽

Active Surface ◽

Methane Steam Reforming ◽

Reduction Treatment ◽

Highly Active ◽

Methane Steam ◽

Oxidation Reduction ◽

Pre Treatment ◽

Oxidation In Air

The catalytic activity of oxidation-reduction pre-treated Ni3Al powder for methane steam reforming was examined. The oxidation-reduction pre-treatment consisted of two steps: oxidation in air at various temperatures from 973 to 1373 K, and then followed by reduction in H2 at 873 K. It was found that the oxidation-reduction treatments significantly reduced the onset temperature of activity, i.e., improved the activity of Ni3Al powder at low temperatures. The characterization of Ni3Al surface showed that an outer surface layer of fine NiO particles were formed on the surface of Ni3Al after oxidation. These NiO particles were reduced to metallic Ni by the subsequent reduction treatment, resulting in the high activity for methane steam reforming. These results indicate that the Ni3Al can form highly active surface structure with oxidation-reduction treatment, having excellent heat resistance.

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Highly active Ni-promoted mesostructured silica nanoparticles for CO2 methanation

Applied Catalysis B Environmental ◽

10.1016/j.apcatb.2013.09.015 ◽

2014 ◽

Vol 147 ◽

pp. 359-368 ◽

Cited By ~ 241

Author(s):

M.A.A. Aziz ◽

A.A. Jalil ◽

S. Triwahyono ◽

R.R. Mukti ◽

Y.H. Taufiq-Yap ◽

...

Keyword(s):

Silica Nanoparticles ◽

Co2 Methanation ◽

Mesostructured Silica ◽

Highly Active

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Synthesis and characterizations of TiN–SBA-15 mesoporous materials for CO2 dry reforming enhancement

Pure and Applied Chemistry ◽

10.1515/pac-2019-0806 ◽

2020 ◽

Vol 92 (4) ◽

pp. 545-556

Author(s):

Maslin Chotirach ◽

Supawan Tantayanon ◽

Duangamol Nuntasri Tungasmita ◽

Junliang Sun ◽

Sukkaneste Tungasmita

Keyword(s):

Photoelectron Spectroscopy ◽

Synthesis Method ◽

High Specific Surface Area ◽

Dry Reforming ◽

Dry Reforming Of Methane ◽

Ni Catalyst ◽

X Ray ◽

Novel Approach ◽

Temperature Programmed ◽

Adsorption Desorption

AbstractA novel approach of titanium nitride (TiN) incorporated into SBA-15 framework was developed using one-step hydrothermal synthesis method. TiN contents up to ~18 wt% were directly dispersed in a synthetic gel under a typical strong acidic condition. The physico-chemical characteristics and the surface properties were investigated by means of X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), Fourier transform infrared spectroscopy (FTIR), N2 adsorption-desorption, field emission scanning electron microscope (FESEM) equipped with energy dispersive X-ray spectroscopy (EDS), wavelength dispersive X-ray fluorescence (WDXRF) and CO2-temperature programmed desorption (CO2-TPD). The results indicated that the highly ordered mesostructured was effectively maintained with high specific surface area of 532–685 m2g−1. The basicity of the modified SBA-15 increased with rising TiN loading. These modified materials were applied as a support of Ni catalyst in dry reforming of methane (DRM). Their catalytic behavior possessed superior conversions for both CO2 and CH4 with the highest H2/CO ratio (0.83) as well as 50 % lower carbon formation, compared to bare SBA-15 support.

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HPO2GO: prediction of human phenotype ontology term associations for proteins using cross ontology annotation co-occurrences

PeerJ ◽

10.7717/peerj.5298 ◽

2018 ◽

Vol 6 ◽

pp. e5298 ◽

Cited By ~ 7

Author(s):

Tunca Doğan

Keyword(s):

Genetic Diseases ◽

Predictive Performance ◽

Ontology Term ◽

Human Phenotype ◽

Go Annotation ◽

Functional Changes ◽

Biological Ontologies ◽

Highly Active ◽

Novel Approach ◽

Quantitative Basis

Analysing the relationships between biomolecules and the genetic diseases is a highly active area of research, where the aim is to identify the genes and their products that cause a particular disease due to functional changes originated from mutations. Biological ontologies are frequently employed in these studies, which provides researchers with extensive opportunities for knowledge discovery through computational data analysis. In this study, a novel approach is proposed for the identification of relationships between biomedical entities by automatically mapping phenotypic abnormality defining HPO terms with biomolecular function defining GO terms, where each association indicates the occurrence of the abnormality due to the loss of the biomolecular function expressed by the corresponding GO term. The proposed HPO2GO mappings were extracted by calculating the frequency of the co-annotations of the terms on the same genes/proteins, using already existing curated HPO and GO annotation sets. This was followed by the filtering of the unreliable mappings that could be observed due to chance, by statistical resampling of the co-occurrence similarity distributions. Furthermore, the biological relevance of the finalized mappings were discussed over selected cases, using the literature. The resulting HPO2GO mappings can be employed in different settings to predict and to analyse novel gene/protein—ontology term—disease relations. As an application of the proposed approach, HPO term—protein associations (i.e., HPO2protein) were predicted. In order to test the predictive performance of the method on a quantitative basis, and to compare it with the state-of-the-art, CAFA2 challenge HPO prediction target protein set was employed. The results of the benchmark indicated the potential of the proposed approach, as HPO2GO performance was among the best (Fmax = 0.35). The automated cross ontology mapping approach developed in this work may be extended to other ontologies as well, to identify unexplored relation patterns at the systemic level. The datasets, results and the source code of HPO2GO are available for download at: https://github.com/cansyl/HPO2GO.

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Electrospun nanofibre materials to filter air pollutants – A review

Journal of Industrial Textiles ◽

10.1177/1528083716676812 ◽

2016 ◽

Vol 47 (8) ◽

pp. 2253-2280 ◽

Cited By ~ 53

Author(s):

Vinod V Kadam ◽

Lijing Wang ◽

Rajiv Padhye

Keyword(s):

Particulate Matter ◽

Air Pollutants ◽

Fibre Diameter ◽

Active Surface ◽

High Specific Surface Area ◽

Gaseous Pollutants ◽

Air Filtration ◽

Small Fibre ◽

Small Pore ◽

Characteristic Features

This review presents an overview of electrospun nanomembranes produced from various polymers to filter air pollutants. Air pollutants can be categorised as particulate matter and gaseous pollutants. Both differ from each other in terms of size and chemical composition. Hence, the filter characterisation techniques and capture mechanism also vary. Particulate matter can be effectively captured in nanomembranes, in relation to microfibres, due to its small fibre diameter, small pore size and high specific surface area. Recently, electrospun nanomembranes have been used to filter gaseous pollutants owing to their potential of active surface modification. Different additives which functionalised the nanofibre surface for gaseous pollutant adsorption are also highlighted in this review. The characteristic features of nanofibres influencing the filtration efficiency have been discussed. Furthermore, various research challenges and future trends of electrospun nanomembranes in air filtration have been discussed.

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Ligand-free gold nanoclusters confined in mesoporous silica nanoparticles for styrene epoxidation

Nanoscale Advances ◽

10.1039/c9na00781d ◽

2020 ◽

Vol 2 (4) ◽

pp. 1437-1442

Author(s):

Buthainah Al-Shankiti ◽

Walid Al-Maksoud ◽

Madathumpady Abubaker Habeeb Muhammed ◽

Dalaver H. Anjum ◽

Basem Moosa ◽

...

Keyword(s):

Mesoporous Silica ◽

Metal Ions ◽

Silica Nanoparticles ◽

Mesoporous Silica Nanoparticles ◽

Gold Nanoclusters ◽

Reducing Agents ◽

Styrene Epoxidation ◽

Novel Approach ◽

Free Gold ◽

Ligand Free

We present a novel approach to produce gold nanoclusters (Au NCs) in the pores of mesoporous silica nanoparticles (MSNs) by sequential and controlled addition of metal ions and reducing agents.

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