bluuebunny/crossref_metadata_2025_split huggingface dataset:
Transformation of oil and gas fields based on information technologies
Authors: Dmitrievskiy A. , Safarova E. , Stolyarov V. , Eremin N. 
Published: November 2021

Abstract
Currently, there is an opportunity to ensure digital transformation in the leading oil and gas companies in Russia. The main task of the transformation is to reduce capital and operating costs and increase production efficiency. The objects of transformation are processes, information, and people. Considering the existing technological and geological constraints for the Arctic fields, it is advisable to ensure the initial implementation of the principles of a digital intelligent field when creating control systems for wells and control production complexes. An important component is the development of an effective decision support system as a tool for calculating forecast tasks that provides strategic and tactical planning when modeling geological and technological processes online. The materials provide the structure of remote management of geographically distributed facilities of PJSC Gazprom, as well as solutions already implemented and confirmed the effectiveness of management for the Bovanenkovo oil and gas condensate field located in the Arctic on the Yamal Peninsula.
Digital core modeling technology for determining the reservoir-capacitive properties of terrigenous reservoirs
Authors: Gubaidullin M G , Belozerov I P 
Published: November 2021

Abstract
For today digital core modelling technology is demanded and developing instrument in conducting the main reservoir-capacitive properties of terrigenous rocks. This technology is becoming more widespread in connection with the development of computer and nanotechnologies. The main attempts to apply the digital core model in practice have been undertaken in the last decade, although the first examples of its use for the analysis of reservoir rocks date back to the 80s of the last century. Improvement of digital core modeling technology will allow to cope with the problem of lack or absence of core material, as well as to solve the problems of studying loose, weakly cemented and other rocks, "problematic" of conducting physical experiments. In addition, it seems relevant to create a digital core block that fits into the general digitalization platform of technologies related to reservoir-capacitive properties in the development of hydrocarbon fields. With the use of a digital core model, it also becomes possible to effectively refine and supplement the calculated parameters in laboratory core studies, reducing the likelihood of errors in the obtained results.
Decarbonized LNG: Creating a path to sustainable Arctic development
Authors: Fedorova V A , Mitryaykina A O 
Published: November 2021

Abstract
One of the most urgent issues of the global energy complex is its decarbonization. But it is impossible to make such a transition overnight; therefore, a transitional fuel is needed, such as gas. Natural gas has the lowest carbon emissions rate of all hydrocarbons fuels, it is vastly deposited and due to development of LNG technologies can be transported almost everywhere. The Russian Arctic zone is excellent for LNG production, as there are huge gas reserves concentrated there, the climate allows an optimal LNG production and there is a convenient logistics route. LNG production in this region must be as harmless as possible and with the lowest CO2 emissions to preserve a sensitive environment. Decarbonized LNG is a liquefied gas with lowered amount of CO2 emissions from production to consumption, or they were compensated by offset loans. This concept is quite new, but it allows gas to build a bridge to low-carbon future. This article explores all the ways of building carbon-neutral LNG value chain in Arctic and suggests the optimal way of providing sustainable development in region’s energy complex.
Analysis of a new underwater LNG storage tank
Authors: Zemlyanovskiy V A , Guseynov Ch S , Kolganov A V 
Published: November 2021

Abstract
The article presents the current disadvantages of onshore LNG tanks used in the Arctic. A critical analysis of the closest analogue – a floating LNG storage of gravity type - was carried out. On the basis of the results of the critical analysis a completely new design of an underwater LNG storage was offered. Also the principles of submergence and exploitation of the storage were described. The conclusion about the opportunity of application of underwater tank farms was made.
Performance of waterborne polyurethane based on N-tert-butyldiethanolamine in corrosion inhibition
Authors: Zaripova Y , Varfolomeev M , Pavelyev R , Farhadian A , Yarkovoi V , Vinogradova S , Vakhitov I 
Published: November 2021

Abstract
The design of bifunctional inhibitors effectively preventing hydrate formation and corrosion is a relevant issue for the oil and gas industry. In this work, we expanded the study of the corrosion inhibition effectiveness for waterborne polyurethanes (WPUs) obtained earlier and shown to be promising inhibitors. The corrosion inhibition ability of WPUs was assessed using weight-loss and electrochemical methods. Commercial corrosion inhibitor Armohib CI-28 was taken as a reference sample. The data obtained showed that the tert-Bu-WPU sample is able to effectively inhibit acid and carbon dioxide corrosion at room temperature; however, with an increase in temperature, its efficiency decreases more intensively than for a commercial inhibitor. In general, waterborne polyurethanes are promising alternatives to commercial reagents due to their multifunctionality.
The oil and gas potential of the north of the Siberian platform and adjacent shelf
Authors: Dmitrievskiy A N , Eremin N A , Shabalin N A , Basnieva I K , Kondratyuk A T 
Published: November 2021

Abstract
The objective of this article is an estimation of the oil and gas potential of the north of the Siberian platform and adjacent shelf. The Siberian platform is characterized by a large concentration of oil and gas resources in the southern and central parts of the platform. The main oil and gas province of the Siberian Platform is the Leno-Tungus oil and gas province. The oil- bearing strata in the Lena-Tungus oil and gas province are confined to the Riphean, Vendian, Lower-Middle Cambrian deposits, in which large oil and gas fields are discovered. In modern contours the Siberian platform in the north and north-west is fringed by the Yenisei-Khatanga regional trough. In the east, the Yenisei-Khatanga regional trough is connected with the Anabar- Lena trough, framing the north-eastern part of the Siberian platform. Analysis of the available geological and geophysical materials shows a fairly high potential of the Anabar-Lena and Yenisei-Khatanga troughs for the discovery of large hydrocarbon fields. The basic understanding of the geologic-tectonic structure and petroleum potential of the northern part of the Siberian Platform and the adjacent shelf of the Arctic zone are currently based on seismic data by the method of the common depth point (CDP), tied to the existing deep search and parametric wells. Representations of the deep structure and oil and gas potential of specific areas, the allocation of targeted promising oil and gas horizons can change dramatically as the depth of seismic acquisition of the method of the common depth point increases and the software for processing and interpreting seismic data is improved. The localized oil and gas resources of the north of the Siberian platform and adjacent shelf are 41017,3, subsequently, 27582,3 - onshore and offshore - 13435 MMT (million tons) of oil equivalent.
Implementing the autonomous adaptive algorithm to manage ESP operation in harsh reservoir conditions
Authors: Antonic M , Solesa M , Thonhauser G , Zolotukhin A B , Aleksic M 
Published: November 2021

Abstract
The well geometries with a shallow kick-off point in conjunction with surface infrastructure limitations have led to Electrical Submersible Pump (ESP) technologies' application as one of the most suitable artificial lift methods for the harsh reservoir conditions. However, the harsh reservoir conditions in terms of the low reservoir pressure, high reservoir temperature, scaling problems in various forms, and high gas content at the pump intake have reduced the ESP system run life. Therefore, this research represents the Autonomous Adaptive Algorithm (A3) as a holistic approach to integrate analytical and machine learning models to assist production engineers in the early detection of operating problems. The A3 relies on different data sources and uses unique, well diagnostics logic to generate valuable features and prepare data for training. Finally, the paper evaluates different classifiers and explores the possibilities of application A3 as a flexible edge solution. The research benefits will be demonstrated for several problematic ESP wells.
Azure machine learning studio and SCADA data for failure detection and prediction purposes: A case of wind turbine generator
Authors: El-Menshawy A , Gul Z , El-Thalji I 
Published: November 2021

Abstract
Most industrial systems have supervisory control and data acquisition (SCADA) systems that collect and store process parameters. SCADA data is seen as a valuable source to get and extract insights about the asset health condition and associated maintenance operations. It is still unclear how appliable and valid insights SCADA data might provide. The purpose of this paper is to explore the potential benefits of SCADA data for maintenance purposes and discuss the limitations from a machine learning perspective. In this paper, a two-year SCADA data related to a wind turbine generator is extracted and analysed using several machine learning algorithms, i.e., two-class boosted decision tree, two-class decision forest, k-means clustering on Azure ML learning studio. It is concluded that the SCADA data can be useful for failure detection and prediction once rich training data is given. In a failure prediction context, data richness means ensuring that fault features are presented in the training data. Moreover, the logs file can be used as labelled data to supervise some algorithms once they are reported in a more rigorous manner (timing, description).
Workflow and concept study to design mixed reality assisted safety training in the wind energy sector
Authors: Joghee S C , El-Thalji I 
Published: November 2021

Abstract
Mixed reality Technology creates new environments and visualizations to teach, train, and facilitate work, either offline or remote online. The aim is to provide effective learning and training sources and reduce human errors and cognitive workload. However, the concept study to design mixed reality (MR)-assisted training lacks the workflow process. Therefore, the purpose of this paper is to develop a workflow to design MR-assisted training together with a worksheet that can be used to prioritize training tasks that should be virtualized and augmented. The workflow is demonstrated with the help of safety training for wind turbine towers. The results show that the proposed workflow has identified 4 out of 8 tasks to be critical for virtualization and augmentation. The proposed workflow is helpful to screen and identify critical training and work scenarios and tasks, besides the ability to determine the technical specifications of the required virtualization and augmentation.
Combined principal component analysis and proportional hazard model for optimizing condition-based maintenance
Authors: Bankole-Oye T , El-Thalji I , Zec J 
Published: November 2021

Abstract
Large companies are investing heavily in digitalization to be more competitive and economically viable. Hence, physical assets and maintenance operations have been digitally transformed to transmit a high volume of data, e.g., condition monitoring data. Such high-volume data can be useful to optimize maintenance operations and minimize maintenance and replacement costs. A tool to optimize maintenance using condition monitoring data is the Proportional hazard model (PHM). However, it is challenging to implement PHM for industrial complex systems that generate big data. Therefore, machine learning algorithms shall support PHM method to handle such a high volume of data. Thus, the purpose of this paper is to explore how to support PHM with Principal Component Analysis (PCA) to maintenance optimization of complex industrial systems. A case study of hydraulic power unit was purposefully selected to apply and validate the proposed analytical approach. The results show that PCA supported PHM optimizes and extends the preventive maintenance interval by 79.27% which might lead to maintenance cost reductions. This model enables PHM to handle complex systems where big data is collected.
Use of clay from a local source for calcination and subsequent preparation of the mixed cement
Authors: Smirova B , Sedlacik M , Novotny R 
Published: November 2021

Abstract
This paper deals with the use of calcinated clay and micronized limestone as supplementary cementitious materials (SMCs) for preparation of blended Portland cement CEM II/B-M (Q-LL). Clay used in this study was calcinated at 700°C and pozzolanic activity after calcination was assessed using accelerated R3 pozzolanic test and modified Chapelle test. The influence of calcinated clay and limestone addition on mechanical properties and hydration process was investigated and an optimal ratio for 35% clinker replacement was found. Initial decrease of mechanical strength at early ages, caused by SCM addition, was almost compensated during maturation of the binder.
Reuse of waste tire textile fibers from tires in plaster mixtures
Authors: Khongova I , Chromkova I , Prachar V 
Published: November 2021

Abstract
The waste tire textile fibers from tires are generated as a by-product and are classified as special waste. To avoid landfilling and incineration of this waste, it is necessary to focus on its further use. This article describes an experimental study of the use of waste tire textile fibers for plaster mixtures. Waste fibers were added in different amounts of 2.9%, 3.6%, and 4.3% related to the weight of cement, the effect of fibers on selected properties was monitored. The results of the experimental work show that the lower addition of waste fibers (2.9% and 3.6%) had a predominantly positive effect on mechanical properties. By exceeding of the optimal dose of fibers, the tested properties of the plasters got worse.
Decomposition of asbestos materials using fluoride wastes
Authors: Necasova K , Buchta P , Chromkova I , Stanek T , Simbera T 
Published: November 2021

Abstract
Asbestos is one of the materials causing ecological stress. Due to its health harmfulness, an effective, ecological, and economic decomposition is highly desirable. One of the decomposition possibilities is a chemical decomposition, which could compete with commonly used thermal decomposition. The chemical decomposition can be accomplished both with the use of pure chemicals and waste chemicals from production technologies. This work deals with the use of technological wastes containing hydrofluoric acid or fluorides. Fluorides release hydrofluoric acid in the acid medium, which acts as the main decomposition medium. The source of fluorides was waste from the glass and metallic material industry. The efficiency of degradation processes was studied by mass analysis. Materials and decomposition products were characterized by X-ray powder diffraction.
Fast material disintegration of cement concrete in the exterior
Authors: Nevosad Z , Grosek J , Dohnalkova B , Zavrel T , Machel O 
Published: November 2021

Abstract
Over the recent years the amount of fast destruction defects of cement paste matrix has increased markedly for exposed concrete structures of highway and airport pavements. The accelerated destruction of silicate structure is unusual due to its irregular occurrence. It only occurs at 30 to 50% of newly built pavements (in continuous segments). The issue is applicable to loaded as well as unloaded pavements. Detailed diagnostics found that the probable cause is based on concurrently occurring expansive reactions in capillaries, cracks and pores in the cement paste matrix. In defect spots the presence of several expansive substances was proven, wherein the biggest question poses the unexpectedly high potassium concentration. Potassium is only contained at best in trace amounts in road concrete input components in the Czech Republic. Neither existing regulations nor standards sufficiently deal with this type of defects of cement concretes. If they mention the existence of this issue at all, they are just limited to recommendations. Since the modification of the existing commercially produced cements to pavements is still improbable, the solutions to this issue seem problematic.
THz pulse train generation through ultrafast development of surface plasmon-polariton modulation instability
Authors: Korobko Dmitry A , Zolotovskii Igor O , Moiseev Sergey G , Kadochkin Alexey S , Svetukhin Vyacheslav V 
Published: November 2021

Abstract
Propagation of high-intensity electromagnetic waves in a waveguide structure could initiate nonlinear effects resulting in drastic changes of their spatial and temporal characteristics. We study the modulation instability effect induced by propagation of surface plasmon polaritons in a silver thin-film waveguide. The nonlinear Schrodinger equation for propagating surface plasmon wave is obtained. It is shown numerically that the modulation instability effect can give rise to ultrafast spatial redistribution and longitudinal localization of surface plasmon-polariton wave energy in subwavelength scale. The dependence of plasmon wave dispersion and nonlinear characteristics on metal film thickness is considered. We demonstrate that the use of films with the thickness varying along the waveguide length allows reduction of the generated pulse width and increase of frequency comb bandwidth. The proposed technique is promising for design of ultra-compact (tens of nm) optical generators delivering pulse trains with the repetition rate higher than 1 THz.
Effect of gas pressure on ion energy at substrate side of Ag target radio-frequency and very-high-frequency magnetron sputtering discharge
Authors: NI Weichen , YE Chao , YU Yiqing , WANG Xiangying 
Published: November 2021

Abstract
The effect of gas pressure on ion energy distribution at the substrate side of Ag target radio-frequency (RF) and very-high-frequency (VHF) magnetron sputtering discharge was investigated. At lower pressure, the evolution of maximum ion energy (E) with discharge voltage (V) varied with the excitation frequency, due to the joint contribution of the ion generation in the bulk plasma and the ion movement across the sheath related to the ion transit sheath time τ
i and RF period τ
RF. At higher pressure, the evolution of E–V relationships did not vary with the excitation frequency, due to the balance between the energy lost through collisions and the energy gained by acceleration in the electric field. Therefore, for RF and VHF magnetron discharge, lower gas pressure can have a clear influence on the E–V relationship.
Detection of viable Lacticaseibacillus paracasei in fermented milk using propidium monoazide combined with quantitative loop-mediated isothermal amplification
Authors: Hu Lianxia , Xue Yuling , Cui liru , Zhang Dong , Feng Lili , Zhang Wei , Wang Shijie 
Published: November 2021

ABSTRACT
To quantify viable probiotic Lacticaseibacillus paracasei (L. paracasei) in fermented milk accurately and quickly, propidium monoazide combined with quantitative loop-mediated isothermal amplification (PMA-qLAMP) was applied. The optimal PMA treatment conditions for treating a L. paracasei suspension were determined using an orthogonal test to eliminate the DNA amplification of 108 CFU/mL of dead L. paracasei. Primers were designed based on the species-specific gyrB gene of L. paracasei. A phylogenetic tree based on the gyrB gene showed that L. paracasei clustered on the same branch with 91% support. Compared with the 16 strains commonly found in fermented milk, three strains of L. paracasei showed positive PMA-qLAMP results, and the melting temperature was approximately 82.4°C. There was a linear relationship (R2 = 0.9983) between the Ct values and the logarithm of the concentration of viable bacteria. The PMA-qLAMP detection limit for the L. paracasei artificially added to fermented milk was 7.3 × 102 CFU/mL. There was no significant difference between the logarithm values of the concentration of viable L. paracasei of 50 fermented milk samples within shelf life using the PMA-qLAMP and plate count methods (P &gt; 0.01). PMA-qLAMP is specific and accurate for obtaining reliable results faster than when using plate counts.
Balancing embryo donation and double gamete donation
Authors: Pennings Guido 
Published: November 2021

Abstract
Huele and colleagues started a debate on the comparison between embryo donation and double donation. Although I largely agree with their final conclusion, I believe that the perspective of the recipients needs to be added to get a more complete picture. The present contribution focuses on that perspective and advances other arguments to balance the two methods. The main argument in favour of double donation is the difference in perceived meaning for the recipients compared to surplus embryos. The main arguments in favour of embryo donation are the fair distribution of scarce resources (i.e. donor gametes) and the principle of non-maleficence through the avoidance of unnecessary oocyte donation cycles. The balance would be to put both treatments on an equal footing.
On the convergence of Broyden’s method and some accelerated schemes for singular problems
Authors: Mannel Florian 
Published: November 2021

Abstract
We consider Broyden’s method and some accelerated schemes for nonlinear equations having a strongly regular singularity of first order with a one-dimensional nullspace. Our two main results are as follows. First, we show that the use of a preceding Newton-like step ensures convergence for starting points in a starlike domain with density 1. This extends the domain of convergence of these methods significantly. Second, we establish that the matrix updates of Broyden’s method converge q-linearly with the same asymptotic factor as the iterates. This contributes to the long-standing question of whether the Broyden matrices converge by showing that this is indeed the case for the setting at hand. Furthermore, we prove that the Broyden directions violate uniform linear independence, which implies that existing results for convergence of the Broyden matrices cannot be applied. Numerical experiments of high precision confirm the enlarged domain of convergence, the q-linear convergence of the matrix updates and the lack of uniform linear independence. In addition, they suggest that these results can be extended to singularities of higher order and that Broyden’s method can converge r-linearly without converging q-linearly. The underlying code is freely available.