bluuebunny/crossref_metadata_2025_split huggingface dataset:
Generative adversarial networks for modeling reservoirs with permeability anisotropy
Authors: Guliev R 
Published: November 2021

Abstract
The geological model is a main element in describing the characteristics of hydrocarbon reservoirs. These models are usually obtained using geostatistical modeling techniques. Recently, methods based on deep learning algorithms have begun to be applied as a generator of a geologic models. However, there are still problems with how to assimilate dynamic data to the model. The goal of this work was to develop a deep learning algorithm - generative adversarial network (GAN) and demonstrate the process of generating a synthetic geological model:
• Without integrating permeability data into the model
• With data assimilation of well permeability data into the model
The authors also assessed the possibility of creating a pair of generative-adversarial network-ensemble smoother to improve the closed-loop reservoir management of oil field development.
Optimization approach for Arctic field development design using subsea production systems
Authors: Beskhizhko Y V 
Published: November 2021

Abstract
Russian experience in the design of trunk pipelines and Arctic studies have been used to develop an efficient model and method for Arctic field development design using the subsea production system (SPS). Compared to 2D models used in the past, the new design technique offers an opportunity to make 3D models and can be used for optimization of offshore field development projects. The proposed optimization model is based on the Bellman - Ford algorithm developed for 3D networks. This approach has been used for the first time to capture key features and specific subsea production system design processes. The algorithm and block diagrams developed for the proposed SPS design method is universal. This method can be used to address tasks of a more general nature. Optimization of the particular case between a single start point (well location) and single end point (SPS facility) is implemented as a separate software package, but the scope of applications is not limited by such cases and may be extended even further. It can also be very efficient for Arctic subsea field development.
Development of the digital oil and gas complex in Arctic areas of Russia
Authors: Dmitrievskiy A N , Eremin N A , Kondratyuk A T , Basnieva I K 
Published: November 2021

Abstract
This article examines the issues of digital modernization of the oil and gas complex of Russia, the evolution of digital oil and gas technologies. The main results of research work in the field of creating digital technologies for preventing complications and accidents, transferring drilling data in blockchain format, monitoring the state of pipelines using magnetic tomography are briefly outlined. The digital modernization strategy is aimed at large-scale digitalization of oil and gas production facilities and lays a reliable basis for the growth of capital productivity of fields in the long term. The approach is based on improving the quality of management, analyzing the effectiveness of control actions when using an integrated model or a digital twin of the field. The integrated application of digital technologies for effective management is the basis for cost optimization, ensuring the transition to robotic control, and increasing the capital productivity ratio of key gas assets. These solutions are especially effective in regions with difficult natural and climatic conditions or undeveloped infrastructure, Arctic fields. The proposed integrated approach makes it possible to extend the periods of profitable exploitation of gas fields at the stage of declining production and complicated production conditions. By the end of 2025, the number of digital fields using technologies for processing Big Geo Data will exceed 10% of the total number of oil and gas fields in Russia.
Maintenance philosophy for an unmanned platform: A case study for an Offshore wind substation
Authors: Tolstow K T , Beiky A , El-Thalji I 
Published: November 2021

Abstract
Unmanned installations introduce new challenges for the operations and maintenance. In many offshore windfarms there is a need for offshore substations and these substations can be designed as unmanned installations. Thus, the purpose of this paper is to review and discuss the available maintenance philosophies for unmanned substation platforms and as a result, propose a suitable maintenance philosophy for this type of installations with regards to key performance indicators such as high availability, low maintenance man-hours and minimal fixed maintenance campaigns. It is concluded that maintenance philosophy for unmanned substation shall consider the DIP (Design out and Intelligent preventive maintenance) concept, where the potential benefits of risk-based maintenance, design-out, predictive, and prescriptive maintenance are unlocked. To illustrate the utilization of proposed philosophy, a case study related to cooling system of a substation is presented
The use of limestone sludge for the geopolymer preparation
Authors: Kubatova D , Khongova I , Krejci Kotlanova M , Zezulova A , Bohac M 
Published: November 2021

Abstract
The study investigates the effect of sludge waste from mining and washing of limestone on the properties of geopolymer binders based on metakaolin and blast furnace slag. The effect of adding two types of limestone sludge on workability, setting time, compressive strengths, durability and pore distribution was investigated. Limestone sludge was dosed in an amount of 0–30 %. Sodium water glass was used as an alkaline activator in the ratio of 5:4. A linear correlation between the flowability and limestone sludge content was observed, and very satisfactory results of compressive strength after 90 days were obtained for samples with sodium water glass (about 55 MPa). The positive effect of CaCO3 on strength was confirmed. The increased content of clay components resulted in a reduction of compressive strength.
Impact of the curing conditions and carbon dioxide ingress on heavyweight concrete
Authors: Cepcianska J , Dragomirova J , Kuzielova E , Zemlicka M , Palou M T 
Published: November 2021

Abstract
The present work investigates the influence of curing conditions on the mechanical and physical properties of heavyweight concrete. The prismatic bars of 40 mm × 40 mm × 160 mm dimension were cured in a climatic chamber (relative humidity 30%, average temperature 26°C), wet (100% of humidity, average room temperature 26°C) and CO2 chamber-wet (relative humidity 90%, average temperature 50°C and average CO2 concentration 20 %) conditions for 2, 7, 28 and 90 days. Density, compressive strength, dynamic modulus of elasticity, and longitudinal shrinkage were determined at different ages of curing. Mercury Intrusion Porosimetry was used to analyze and determine the influence of carbonation on pore structure evolution. Samples cured under CO2-wet conditions showed a higher compressive strength (54.05, 66.83, 84.98, 96.35 MPa) compared to that of the samples exposed to wet (45.49, 65.87, 78.91, 93.80 MPa) and dry (39.62, 46.52, 48.45, 45.28 MPa) conditions at all ages. The dynamic modulus of elasticity of CO2-wet cured samples (53.02, 51.48, 59.24, 67.60 GPa) was lower than that of samples cured in wet conditions (59.82, 66.76, 78.84, 80.27, GPa), but higher than that of dry-cured samples (45.74, 45.73, 43.91, 44.62 GPa). The density of the samples exposed to all curing conditions was higher than 3800 kg/m3. Carbonation led to a decrease in total porosity (from 10% to 20%) and an increase in density (from 320 to 390 kg/m3). Also, the time and curing conditions have strongly influenced the pore structure. The precipitation of calcium carbonate in the matrix of concrete and the acceleration of hydration reaction under wet conditions has led to a decrease in porosity.
Development of rapid set mortar for additive manufacturing
Authors: Nespor B , Bohac M , Nejedlik M 
Published: November 2021

Abstract
The study presents the development results of blended cement mortars for additive manufacturing. The goal was to achieve a balanced rheological behaviour of the fresh mixture through optimal granulometry, suitable grain shape and the choice of micro-admixtures. The article closely describes the granulometric and rheological characterization of the proposed ternary and quaternary blended mortar mixtures with various SCM’s. The print quality and shape stability of the promising mortars and the researched 3DP mixes were evaluated during incremental layering for comparison. The performed experiments confirmed that the mixtures containing blast furnace slag, quartz powder and metakaolin are more plastic and allow faster layering in height. The slaked lime-enriched mixture has excellent plasticity and is able to resist deformation during overlaying, the printed layers are without surface defects. The small addition of polypropylene fibre (0.08 wt.%) improves the plasticity and shape retention ability.
Effect of alkali cation type on the plasticizing effect of lignosulfonate in alkali-activated systems
Authors: Valeriia Iliushchenko , Vlastimil Bílek , Lukáš Kalina , Petr Hrubý , Tomáš Opravil , Jiři Bojanovský 
Published: November 2021

Abstract
Rheological properties of alkali-activated systems are significantly affected by the nature of the alkaline activator. Hydroxide-activated systems’ workability is typically lower than that of alkali-activated systems but can be improved by lignosulfonate plasticizer. However, the lignosulfonate plasticizer’s effectivity depends on the dosage of lignosulfonate, the nature of hydroxide and pH of their solutions. Therefore, in this study, the effectiveness of lignosulfonate plasticizer with respect to alkali ion type (Na+, K+, Li+) in alkali hydroxide-activated systems based on ground granulated blast furnace slag was evaluated. The concentration of the alkaline activator (NaOH, KOH and LiOH) was the same in all cases of 4M, the superplasticizer dosage was 0 %, 0.5 % and 1.0 % of dry matter of lignosulfonate plasticizer to the slag weight. Rheological properties were determined using a rotational rheometer equipped with vane in-cup geometry working in oscillation amplitude sweep mode, from which critical strain and corresponding viscoelastic variables were obtained.
Hydrothermal synthesis and characterisation of zeolites from metakaolin and water glass
Authors: Krejci Kotlanova M , Dolnicek Z , Khongova I , Zezulova A 
Published: November 2021

AbstractZeolites were synthetised from two types of metakaolin mixed with water glass and in some samples with water. The mixtures were autoclaved for 24 hours at 130°C. Autoclaved samples were ground to analytical fineness and tested by X-ray diffraction and differential thermal analysis. Polished samples embedded in epoxy resin were studied using of electron microprobe including BSE imaging and WDX analysis of chemical composition of zeolites. Samples with the highest zeolite content were studied by SEM. The obtained results showed that the dominant synthetised zeolite in autoclaved samples is mineral chemically close to chabazite, less phillipsite. Zeolite Na-P1, gmelinite and boggsite were also identified by XRD analyses. The total content of zeolites is up to 29 wt. % in the sample prepared from a mixture containing metakaolin MK1/sodium water glass/water in weight ratio 1.5/2.5/1. The Si/Al of synthetised zeolites varies between 2.1 and 3.2.
Optical properties of two-dimensional materials with tilted anisotropic Dirac cones: theoretical modeling with application to doped 8-Pmmn borophene
Authors: Margulis Vl A , Muryumin E E 
Published: November 2021

Abstract
The optical reflection, transmission and absorption properties of borophene, a newly discovered two-dimensional material with tilted anisotropic Dirac cones, are explored within a simple electronic band structure model of 8-Pmmn borophene, proposed by Zabolotskiy and Lozovik (2016 Phys. Rev. B 94 165403). It is assumed that the borophene layer is deposited on a dielectric substrate, such as Al2O3, and that the borophene’s electron density is controlled by an external gate voltage. The reflectance, transmittance and absorbance of the borophene layer, the conduction band of which is filled with electrons up to the Fermi level, are calculated against the frequency of the incident radiation, as well as on the angle of its incidence on the layer. Considered are the two principal cases of the incident radiation polarization either parallel to or normal to the plane of incidence. We reveal that the optical characteristics of 8-Pmmn borophene are distinctly different for the above two cases at all angles of radiation incidence, excepting the grazing incidence, for which the borophene layer is found to behave like a mirror regardless of the wave polarization. The results obtained indicate the possibility of visualizing the borophene layer deposited on a dielectric substrate by observing the minimum reflectivity of this layer at a certain angle incidence (called the quasi-Brewster angle) of the p-polarized radiation, which may differ by a value of about ten degrees from the Brewster angle of the substrate.
Second harmonic generation from tetraphenylethylene functionalized graphdiyne
Authors: Liu Chao , Cheng Puxin , Shi Rongchao , Ge Fei , Han Xiao , Qi Siming , Li Geng , Xu Jialiang 
Published: November 2021

Abstract
The nonlinear optical (NLO) properties of two-dimensional (2D) layered materials have received extensive attention for their promising application prospects in the field of optoelectronics. Among these materials, 2D carbon materials have been pushed to the research hotspot thanks to their unique chemical and electronic structures. However, the exploration of second harmonic generation is currently limited to sp2 hybridized 2D carbon materials, while the research on multi-hybridized carbon atomic materials is relatively rare. Here, we report the observation of optical second harmonic from tetraphenylethylene-graphdiyne (TPE-GDY), a fully conjugated fluorescent 2D material composed of sp and sp2 hybridized carbon atoms based on the TPE unit. TPE-GDY is mixed with polyvinylpyrrolidone (PVP) to prepare TPE-GDY/PVP nanocomposite films, which further improves the stability of TPE-GDY. Cotton effect and favorable SHG response have been observed from these composite films. Our research enriches the material system in the field of NLO effects and opens up broad prospects for functional and potential applications of 2D graphdiyne materials.
Reliability of spin-to-charge conversion measurements in graphene-based lateral spin valves
Authors: Safeer C K , Herling Franz , Choi Won Young , Ontoso Nerea , Ingla-Aynés Josep , Hueso Luis E , Casanova Fèlix 
Published: November 2021

Abstract
Understanding spin physics in graphene is crucial for developing future two-dimensional spintronic devices. Recent studies show that efficient spin-to-charge conversions (SCCs) via either the inverse spin Hall effect or the inverse Rashba–Edelstein effect (IREE) can be achieved in graphene by proximity with an adjacent spin–orbit coupling (SOC) material. Lateral spin valve devices, made up of a graphene Hall bar and ferromagnets, are best suited for such studies. Here, we report that signals mimicking the IREE can be measured in pristine graphene possessing negligible SOC, confirming that these signals are unrelated to SCC. We identify either the anomalous Hall effect in the ferromagnet or the ordinary Hall effect in graphene induced by stray fields as the possible sources of this artefact. By quantitatively comparing these options with finite-element-method simulations, we conclude the latter better explains our results. Our study deepens the understanding of SCC measurement schemes in graphene, which should be taken into account when designing future experiments.
Preparation and corrosion resistance properties of duplex stainless steel (00Cr22Ni6MnMoCu)
Authors: Bao Chonggao , Zhang Chong 
Published: November 2021

Abstract
In the present paper, a new kind of duplex stainless steel (DSS, 00Cr22Ni6MnMoCu) was prepared. Cr30 was chosen as a comparison of microstructures and mechanical properties with 00Cr22Ni6MnMoCu. Corrosion tests with 3.5% NaCl solution and electrolytic solution for 00Cr22Ni6MnMoCu were carried out to analyze the corrosion pattern of test materials. It can be concluded that: (1) Austenitic and ferrite duplex stainless steel has an optimized phase distribution, high toughness and strength when the ratio of two-phase content is 1:1. (2) Corrosion tests show that the corrosion resistance of 00Cr22Ni6MnMoCu is 12 times compared to ferrite stainless steel Cr30. (3) Electrolytic corrosion tests show that for 00Cr22Ni6MnMoCu, the corrosion is caused by intergranular corrosion. For Cr30, it is mainly caused by pinholes. However, Cr30 has a poor corrosion resistance because of the presence of a large amount of carbides and their phase boundaries caused by the electric potential difference between the carbide and the matrix.
Effect of N on corrosion resistance of Fe-Cr-Ni-Mo-Mn alloy
Authors: Liu Hongyu , Wang Tao , Guo Xuefeng , Feng Feng , Su Yunhai 
Published: November 2021

Abstract
In order to develop the Fe-Cr-Ni-Mo-Mn-N corrosion resistant alloys, analyze the influence of nitrogen on the corrosion resistance of Fe-Cr-Ni-Mo-Mn alloy, adjust the N content in the alloy system, and Flux cored wires with different N content were prepared. They were surfaced on low carbon steel by MIG welding. The phase composition, microstructure and corrosion resistance of the cladding metal were analyzed to study the effect of N content on the structure and performance of the surfacing metal. The results show that the addition of nitrogen does not change the matrix structure (which is Fe-Ni-Cr austenite), but with the increase of nitrogen content, the precipitation of nitrides (Cr2(C,N) and BN)is accompanied; when the amount of nitrogen added reaches 1.0%, the corrosion resistance of the surfacing metal is the best. At this time, the self-corrosion current density is at least 1.569 × 10–9 mA cm−2 and the self-corrosion potential is at most −0.318 V. The addition of nitrogen can promote the formation of austenite and nitride, inhibit the appearance of carbides, avoid the phenomenon of poor Cr, and improve the corrosion resistance of the material.
Effect of twinning and Al–Nd phase on dynamic recrystallization in rolled Mg–Al–Zn–Nd alloy at the moderate strain rate
Authors: Cui Xiaoming , Wang Zhengguang , Yu Zhilei , Liu Fei , Zhao Xueping , Du Zhaoxin , Bai Pucun 
Published: November 2021

Abstract
The dynamic recrystallization of Mg–Al–Zn–Nd alloy during moderate strain rate rolling was studied using electron backscatter diffraction (EBSD) and an energy dispersive spectrometer (EDS). The results showed three kinds of twinnings produced in the alloy in the strain rate range of 4.2 s−1∼7.3 s−1, including

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10

1
¯

2
}

extension twinning,

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10

1
¯

1
}

contraction twinning, and

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1
¯

1

−

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1
¯

2
}

double twinning. The extension twinnings decreased gradually with the increase of strain rate. The dynamic recrystallization mechanisms during hot rolling under moderate strain rate conditions mainly include grain boundary nucleation, twinning nucleation, and secondary particle assistant nucleation. The dynamic recrystallization mechanism induced by twinning is mainly

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1
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1

−

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10

1
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2
}

double twinnings. In addition, the strain value near the Al–Nd phase and grain boundary is higher than in grain. The Al–Nd particles in Mg–Al–Zn–Nd alloy play an auxiliary nucleation effect on dynamic recrystallization during hot rolling deformation.
Clustering and enhanced classification using a hybrid quantum autoencoder
Authors: Srikumar Maiyuren , Hill Charles D , Hollenberg Lloyd C L 
Published: November 2021

Abstract
Quantum machine learning (QML) is a rapidly growing area of research at the intersection of classical machine learning and quantum information theory. One area of considerable interest is the use of QML to learn information contained within quantum states themselves. In this work, we propose a novel approach in which the extraction of information from quantum states is undertaken in a classical representational-space, obtained through the training of a hybrid quantum autoencoder (HQA). Hence, given a set of pure states, this variational QML algorithm learns to identify—and classically represent—their essential distinguishing characteristics, subsequently giving rise to a new paradigm for clustering and semi-supervised classification. The analysis and employment of the HQA model are presented in the context of amplitude encoded states—which in principle can be extended to arbitrary states for the analysis of structure in non-trivial quantum data sets.
Intracorporeal versus extracorporeal anastomosis in laparoscopic right colectomy: updated meta-analysis of randomized controlled trials
Authors: Zhang Hongyu , Sun Nan , Fu Yang , Zhao Chunlin 
Published: November 2021

Abstract

Background
Selection of intracorporeal anastomosis (IA) or extracorporeal anastomosis (EA) in laparoscopic right colectomy (LRC) remains controversial. This meta-analysis aimed to evaluate the effectiveness and safety of IA compared with EA in LRC patients.

Methods
Literature was searched systematically for randomized controlled trials (RCTs) that compared IA with EA in LRC patients until May 2021. The eligible studies for risk of bias were assessed using the Cochrane Risk of Bias Tool. Data were extracted and analysed for the following outcomes of interest: operative time, length of incision, nodal harvest, bowel function recovery, postoperative pain, postoperative complications (wound infection, anastomotic leak, ileus, obstruction, reoperation), death at 30 days, duration of hospital stay and 30-day readmission.

Results
Five RCTs, including a total of 559 patients, were eligible for meta-analysis. All of the trials reported adequate random sequence generation and allocation concealment. There were significantly better outcomes in the IA group than in the EA group in time to first flatus (mean difference (MD) −0.71 (95 per cent c.i. −1.12 to −0.31), P = 0.0005), time to first passage of stool (MD −0.53 (95 per cent c.i. −0.69 to −0.37), P &lt; 0.00001), visual analogue scale of pain on postoperative day (POD) 3 (MD −0.76 (95 per cent c.i. −1.23 to −0.28), P = 0.002), POD 4 (MD −0.83 (95 per cent c.i. −1.46 to −0.20), P = 0.01), POD 5 (MD −0.60 (95 per cent c.i. −0.95 to −0.25), P = 0.0007), length of incision (MD −1.52 (95 per cent c.i. −2.30 to −0.74), P = 0.0001) and wound infection (relative risk 0.46 (95 per cent c.i. 0.23 to 0.91), P = 0.02). However, there were no statistically significant differences between the two groups in duration of hospital stay (P = 0.47), operative time (P = 0.07), number of lymph nodes harvested (P = 0.70), anastomotic leak (P = 0.88), postoperative ileus (P = 0.48), bleeding (P = 0.15), bowel obstruction (P = 0.24), reoperation (P = 0.34), readmission within 30 days (P = 0.26), and death (P = 0.70).

Conclusion
Compared with EA, IA shows a faster recovery of bowel function with fewer wound infections.