bluuebunny/crossref_metadata_2025 huggingface dataset:
Study on Flow Behavior and Adsorption Characteristics of Encapsulated Polymer Particles
Authors: Liu Yongsheng , Wei Bei , Hou Jian , Zheng Ningyu , Qin Xuwen , Zhang Yang , Guo Zhixin , Zhang Dequan
Published: February 2025

Encapsulated polymer refers to Micro/Nano-scale particles with polymer as the core, which can release the polymer to achieve thickening. Encapsulated polymer flooding is a new type of deep profile control technology suitable for further improving the oil recovery of conventional reservoirs. However, the adsorption and temporary blockage behaviors of encapsulated polymer particles in porous media significantly affect the accurate description of their targeted viscosity enhancement. On this account, we investigated how encapsulated polymer particles adsorb and temporarily block.

Using PDMS material microfluidic chips, we investigated the flow behavior of encapsulated polymer in seven different pore throat structures. High-precision pressure sensors and microscopes were employed to real-time capture microscopic flow images of microcapsule particles inside single micro-channels and observe pressure fluctuation characteristics. Based on particle image velocimetry (PIV) systems, we studied the diverting fluid behavior in parallel micro-channels with different width ratios. Building on this, we conducted dynamic adsorption experiments to quantitatively characterize the adsorption and retention behavior of encapsulated polymer particles in porous media.

In this study, we observed four phenomena of free flow, surface adsorption, blockage, and multi-particle aggregation slug flow during the flow of encapsulated polymer particles in a single microchannel. In parallel microchannels, the capsule particles exhibited selectivity towards flow paths, primarily entering wider throats. With the increase of the width ratio, the encapsulated polymer particles in the narrow throat are more confined and are more likely to accumulate in the throat and cause blockage. Experiments in porous media show that the adsorption and retention of capsule particles are inversely proportional to the permeability. The particles are more inclined to flow along the high permeability dominant channel. The overall adsorption capacity of particles is weak, which is conducive to their migration into the reservoir.

Encapsulating polymer effectively resolves the contradiction between the efficient injection into and deep effective profile control of conventional polymer flooding in reservoirs. This paper takes the adsorption and blockage properties of encapsulated polymer particles as a starting point to provide relevant insights into the ease of migration of encapsulated polymer towards the deep reservoir, offering valuable perspectives for targeted thickening description and field application of encapsulated polymer.
Application of Geological Concepts in Dynamic Model History Matching for a Heterogeneous Giant Carbonate Reservoir, Offshore Abu Dhabi
Authors: Montani Hiroki , Yamamoto Kazuyuki , Inokuma Yuto , Yamashita Seiji , Kondo Itsuki , Farooq Umer
Published: February 2025

This study aims to enhance predictive accuracy in dynamic reservoir modeling through geological integration of static model and field historical data. It specifically focuses on horizontal permeability enhancement, targeting better alignment with production history.

Utilizing a combined approach of geological concept application and data analysis, this study conducted core and thin section observations from 39 wells, in addition to image log data analyses from 8 wells. The study identified and classified geological non-matrix features (dissolution vugs, various types of fractures) that influence fluid flow, examining their correlations and trends with reservoir properties such as rock type, porosity and permeability.

The comprehensive analysis led to the successful delivery of geologically reasonable horizontal and vertical permeability models that align with historical dynamic data. Through detailed observations and classifications of the geological non-matrix features which contribute significantly to the fluid flow within the reservoir, the study highlighted the discrepancies between matrix permeability and well test permeability. This discrepancy primarily stems from the different measurement scales and the non-consideration of significant geological features in the static model. Certain static rock types were found to be predominantly vuggy and micro-fractured, which required targeted permeability enhancement. Additionally, long planar fractures were found to develop in areas with low porosity, indicating that modeling of these features in such areas aligns with field history and improves model accuracy. These findings not only challenge existing methodologies but also propose a more integrated and geologically reasonable approach to reservoir modeling.

This study introduces innovative methodologies for incorporating geological concepts into reservoir modelling, particularly in the interpolation of static and dynamic data to enhance prediction accuracy. Our findings provide new insights into the integration of geological features with reservoir properties, offering significant implications for improved reservoir management and recovery strategies in the petroleum industry.
Correction Method for Well Testing Data Affected by Tide and its Application in South China Sea Offshore Oilfield
Authors: Yu Weiqiang , Mao Min , Zhao Hongxu , Zhang Guohao , Zhou Daoxi , Jiang Hongfeng , Lv Zuobin
Published: February 2025

During transient well testing of offshore oil and gas wells, pressure and pressure derivatives may be affected by tidal effects, resulting in periodic abnormal fluctuations that interfere with the interpretation of the model and reservoir parameters.

In this paper, tidal correction is carried out using fast Fourier transform method(FFT), optimization correction method based on tidal model driver(TMD) or measured tidal data. The FFT method is to transform abnormal pressure data into the frequency domain, identify and suppress tidal anomaly characteristics; The TMD optimization correction method calculates tidal signals and optimizes their fitting with original pressure to obtain data without tidal effects; Optimization correction method based on measured tidal data requires the use of the tidal table at the test well location or the tidal table in nearby port cities, to adjust the amplitude and delay time through optimization methods to achieve tidal removal.

Through research and practical well testing cases, it has been verified that the fast Fourier transform method, the optimization correction method based on tidal model driver or measured tidal data have their own characteristics when processing data from different sea areas or test conditions, we can choose one or a combination of multiple methods, which can effectively remove the influence of tides and accurately determine the radial flow characteristics and later characteristics on the pressure derivative curve.

This method can effectively diagnose the characteristics of tides, identify tidal components and suppress tidal effects by integrating multiple methods during the processing of raw pressure data, avoiding the ambiguity of results and computational complexity. Compared with previous studies, the method proposed in this article has better adaptability in removing tidal effects, especially when the build-up analysis period is short, it still has a very significant processing effect. It provides an effective means for correcting abnormal pressure data containing tidal effects.
Utilizing Machine Learning for Gas Lift Optimization: Reducing Interventions and Accelerating Production
Authors: Moelyono S. , Misra S. , Retnanto A. , Palviriyachote S. , Voneiff G. , Thompson A.
Published: February 2025

To optimize gas lift injection rate, production engineers need bottom-hole pressure (BHP) and updated reservoir pressure data for nodal analysis and gas lift performance curves. However, obtaining this traditionally involves well interventions, including an approximately 12-hour shut-in for BHP surveys, leading to production losses and delays. A data-driven approach is proposed in this study to help well intervention planning and accelerate the determination of the optimal gas lift injection rate by eliminating the need for a well intervention.

This approach involves prediction of well production performance, including gas lift injection and liquid production rates, based on surface measurement data such as wellhead pressure, gas lift injection pressure and subsurface data, like reservoir thickness, and information from surrounding wells with similar geological and reservoir properties. Machine Learning model is developed using these datasets, with surface parameters, well, PVT, and reservoir data as input features to predict the range of optimal gas lift injection rate and liquid production rate as output targets. Evaluation begins with classification to determine the necessity of gas lift injection, followed by regression analysis to establish the optimal range of gas lift injection rate and liquid production rate.

Logistic Regression can determine whether a well needs gas lift injection at F1 score of 0.97. For wells needing gas lift injection, Gradient Boosting regressor performs the best in predicting the range of optimal gas-lift injection rate of a well at a mean absolute percentage error (MAPE) of 0.04, while Random Forest regressor performs best in predicting the optimal liquid production rate, with a MAPE of 0.02. The predictive performance of the predictive methods drastically improved by creating new features, such as WOR (Water Oil Ratio) and oil rate divided by the product of wellhead pressure and gas lift injection pressure, derived from the raw data.

This proposed system benefits production engineers and field operations, offering a faster and more efficient method for optimizing gas lift injection rates, ultimately leading to enhanced oil production. It could save 27 hours compared to the traditional approach and generate recommendations in under an hour once the model is ready. Moreover, it helps prevent production losses.
Optimizing Fines Mitigation: Evaluating the Effect of Clay on Sand Agglomeration for Enhanced Sand Control
Authors: Kamat Dahlila , Saaid Ismail Mohd , Hassan N. A. , Chandrakant A. A. , Raggu A. D.
Published: February 2025

Fines migration in oil and gas fields is a significant problem that can lead to reduced production rates and potential equipment failure, resulting in significant monetary loss. While chemical sand control solutions have been used in the past, their effectiveness and ease of placement have been questioned, particularly in the context of mitigating fines production. This research aims to address this issue by exploring the potential of sand agglomeration as a new approach to fines mitigation. Specifically, the impact of clay content on sand agglomeration will be evaluated, with a focus on enhanced sand control. A series of tests as conducted to establish the performance of this new approach in reducing fines migration. By optimizing fines mitigation through sand agglomeration, this research seeks to provide a valuable contribution to the field of oil and gas production.
Compaction and Completion System Collapse Analyses for a Shallow Unconsolidated Reservoir, Offshore Peninsular Malaysia
Authors: Younessi A. , Chatterjee A. , Ghazali I. H. , Nordin N. F.
Published: February 2025

Reservoir compaction has potential risks for casing or completion system collapse, which affects the integrity of wells, completion systems and surface facilities. This paper presents a case study demonstrating an integrated approach to evaluate such risks for a poorly consolidated reservoir located in offshore peninsular Malaysia. A poroelastic analytical approach is used to calculate the compaction associated with the reservoir depletion. The results of the reservoir compaction analysis are used to assess the likelihood of completion system collapse. For this purpose, an analytical approach is adopted to calculate the compressive and shear strains developed in the completion system. The maximum calculated vertical compaction for the worst-case is 0.45% at the maximum depletion, while the other cases are significantly lower. The compressive and shear strains developed in the completion systems are calculated at the maximum compaction calculated for the P10, P50 and P90 rock properties cases. All cases show the calculated compressive and shear strains are below the critical strain value of 0.50% for the studied field. The presented study reinforces the field development plan and prevents unforeseen costs and downtime throughout the life of the study field.
Successful Collaboration Between Surface and Subsurface Team to Reduce Carbon Emission Through a Holistic Approach by Alleviating Surface Constraint to Achieve Sustainable Low Carbon Future
Authors: Ravichandran T. , Yin Y. W. , Islamov R. , Bidin L. A. , Sidek S. , Subari I.
Published: February 2025

This paper discusses the result of successful surface optimization performed on a field with challenges associated with a high Gas-oil- ratio (GOR), excessive carbon emission and reduced field production efficiency. Total field gas production had already exceeded the limit of surface processing facilities in field B, which meant the Operator had to choke back production.

Surface optimization involved diverting the field A gas from High Pressure (HP) compressor to High High Pressure (HHP) compressor which located at field B 20km away to obtain additional ullage of 10MMscf/d. This configuration poses significant challenges in accurately determining backpressure impact to the well due to higher HHP suction pressure; field B surface facilities adequacy to process additional fluid from field A and deferment required to divert the flow from HP to HHP. In addition, field A is not equipped with well test facilities causing additional uncertainties to determine the production rate or impact of the diversion for each individual wells.

This paper evaluates the success of the HHP diversion in mitigating the high flaring challenges and improving the field's performance.
AI Automation in Civil Infrastructure Asset Management
Authors: Loh S. , Gautam A.
Published: February 2025

This paper features the development path of automation solutions for civil infrastructure asset management for oil and gas facility. The scope covers the development, integration and scaling of ExxonMobil structural damage classification AI (Artificial Intelligence) into the Company's inspection, maintenance and equipment strategy work processes. Traditionally, civil infrastructures are challenged with large asset inventories and limited site resources to manage the asset program. This paper makes a strong case for fit for purpose digital and automation solutions to augment the existing engineering capabilities, resources and to optimize civil asset health.

The paper will present results in AI statistical performances, increase in inspection workflow productivity and improved line of sight to civil infrastructure risks. Recent deployment of AI in visual inspection workflows demonstrated ease of onboarding, training, and willingness of users to transition to new ways of working. Users such as site engineers and field inspectors have expressed high interest for business adoption and eagerness to participate in future AI incremental roll-out program given the value propositions. Adjacent AI enablers such as digital twin and asset integrity management solution teams have been interested to deepen the collaboration and integration, in light of AI's potential of expanding their respective digital technologies use cases.

This paper will examine several aspects of civil inspection work processes, technology enablement and people behaviors in order to successfully develop and implement AI capability in inspection. This is followed by a detailed discussion on AI development methodology and results from data science perspective.
Field Trials Review on Drilling Data Microchips Deployment, Recovery, and Data Retention
Authors: Tella Sherif A. , Alsheikh Abrar , Li Sanguo , Li Jibo , Zhan Guodong
Published: February 2025

For many years, downhole data transfer has faced challenges due to limited communication bandwidths, resulting in delays in logging data acquisition and difficulties in capturing high-frequency drilling dynamics measurements. There is an urgent requirement to improve the capacity and speed of downhole data communication significantly. However, maintaining safe and optimal drilling conditions requires knowledge of downhole parameters. Hence, cost-effective drilling data microchips that collect real-time downhole data readings during drilling are necessary for precisely predicting wellbore property fluctuations, local overheating, and guiding the drilling trajectory in the wellbore. On the other hand, conventional alternative solutions use less than 10% of the acquired data in real time. Microchips often consist of an on-chip battery, sensors, secondary memory, and a system-on-a-chip (SoC). However, the data microchips may be exposed to random stresses throughout the drilling and releasing operations into the well annulus, which could lead to the failure of interconnects and other components, resulting in damage, loss of stored data, and a low recovery rate when the data microchips are released. This article reports one of the phases of a project and this phase describes the design and development of lab-qualified data microchips as a solution to high-resolution, near real-time, downhole data storage and transmission. The article also describes the results of field trials in five different well sections while drilling to evaluate and assess the physical recovery rate and integrity of data retention. A total of 134 lab-qualified data microchips (DM) were deployed in five well sections, achieving an overall physical recovery rate of 76.12% and a digital recovery rate of 89.22%. The third trial faced issues, recording the lowest physical recovery at 37.5%, yet had a perfect digital recovery. The 4th and 5th trials excelled, with recovery rates of 95.83% and 100%, respectively. A total of 11 DMs were damaged, which signifies that a considerable proportion of the deployed DMs were recovered successfully and most of them contained usable data. This report will present the design and development of data microchips considering the packaging, micromemory circuit, and communication protocol for data read/write. In addition, this report will discuss the testing methods, and the outcomes of the field trials conducted in five different well sections.
Innovative Strategies for Push-The-Bit Drilling Automation: Mitigating Vibrations and Maximizing Steering Efficiency in Challenging Norwegian Continental Shelf Formations and Large Hole Sizes
Authors: Rakhmangulov Farit , Aliyev Sanan
Published: February 2025

Drilling with Push-the-Bit Rotary Steerable Systems (RSS) encounters challenges in larger hole sizes. Operator demands for high inclination and Dogleg Severity (DLS) in these diameters heighten complexities. Key challenges involve achieving desired angles and DLS in unconsolidated formations, overcoming gravity forces at over 50° inclination, and managing vibrations causing equipment failures in formations with interfacial severity. Deploying RSS with an autonomous drilling platform ensures efficient, and accurate wellbore delivery on the Norwegian continental shelf (NCS).

To handle downhole data and multiple wells efficiently, a Data Lake Approach was adopted. This involved leveraging a corporate Data Lake to amalgamate databases from diverse datasets into a unified model, simplifying data visualization in Business Intelligence (BI) tools. Automation of the data collection saves time for drilling analysis, eliminates the need for manual data collection, preparation. Furthermore, the correct automation setup and utilization of a web-based dashboard address a key customer objective - increasing Rate of Penetration (ROP) by automatically adjusting the rotary steerable system's steering force and toolface to match the demanded DLS and wellpath.

Ten drilling runs, utilizing hybrid bits with Push-the-Bit RSS as well as Tungsten Carbide Insert (TCI), and Milled Tooth roller cone bits, were analyzed. All bit types demonstrated excellent performance in vibrations and steering, outperforming PDC (Polycrystalline Diamond Compact) bits. Similar issues were noted with Point-the-Bit RSS. Recent runs with hybrid bits yielded optimal results: low Stick-Slip and Whirl vibrations, highest DLS, achieved higher inclination angles in large hole sizes, and stable steering efficiency, even in unconsolidated sand formations. The hybrid bits notably minimized the right-hand walk tendency associated with PDC bits.

Over ten runs on the NCS, data indicates improved ROP, well placement, and borehole quality through drilling automation and BI tools. The digital twin continuously learns, and updates based on historical steering actions and real-time data calibration, allowing user input. Different modes can be selected for drilling efficiency based on operational constraints, objectives, and field knowledge, incorporating attitude and position control while managing projection horizon, build rate boundaries, and walk rate.

The proposed approach provides a novel perspective on drilling with Push-The-Bit RSS in larger borehole diameters, expanding the boundaries of drilling, especially in Extended Reach Drilling (ERD) wells. Furthermore, this methodology emphasizes the potential of automated drilling and automated data analytics, contributing to effective decision-making in future well planning and resulting in substantial reductions in operational and HSE risks.
Unveiling the Evolution and Facies Distribution of a Miocene Carbonate Platform in Central Luconia, Offshore Malaysia
Authors: Henglai P. , Fongngern R. , Uttareun R. , Sa-nguanphon S. , Soontornnateepat T. , Srisuriyon J.
Published: February 2025

The evolution and facies distribution of relatively small carbonate platforms, approximately 30 km2, are not well documented, even though they are common in ancient and modern carbonate systems. This study investigates platform evolution and facies distribution of a Miocene carbonate platform in Central Luconia, offshore Malaysia. An integrated approach, including core-described lithofacies, well-log correlation, and seismic analysis, allowed for mapping depositional facies and platform evolution through time. The platform was divided into five stratigraphic zones (1 [top], 2 Upper, 2 Lower, 3 Upper, 3 Lower [bottom]) separated by low porosity intervals. Five depositional facies groups were recognized in core samples: (1) bioclastic wacke-packstone facies deposited in a platform interior, (2) bioclastic packstone facies deposited in backreef environments, (3) coral boundstone facies deposited at the reef margin, (4) interbedded shale and carbonate facies deposited on the slope, and (5) argillaceous carbonate facies deposited across the platform as flooding layers. Well D penetrated almost the entire platform, and facies in that well changed upward from mainly bioclastic wacke-packstone at the bottom to mainly bioclastic packstone in the middle to coral boundstone near the top before being covered by interbedded shale and carbonate. Six seismic facies characterizations were generated and combined with well data to map the five facies groups through time. The platform shows repeated backstepping of facies at flooding layers followed by aggradation of facies belts up to exposure surfaces, resulting in a long-term backstepping of depositional environments until the platform drowned. Sr-isotopes dating near the top of this platform yielded an age of approximately 12 Ma.
Estudo epidemiológico dos casos confirmados de meningite no território brasileiro (2016-2023)
Authors: Santos Emili da Conceição Risuenho dos , Nascimento Rafaela Maria dos Santos , Pereira Lucas Raul Castro , Garcia Arthur Gonçalves , Tito Sophya dos Santos , Silva Sarah Jany Correa , Colares Túlio Vulcão
Published: February 2025

Objetivo: Descrever e analisar os casos confirmados de meningite no Brasil entre os anos de 2016 e 2023. Métodos: Trata-se de um trabalho de caráter descritivo e transversal dos casos confirmados de meningite utilizando dados do Sistema de Informação de Agravos de Notificação (SINAN), sendo consideradas variáveis como: notificação por região geográfica, sexo, faixa etária, evolução e etiologia. Resultados: Entre 2016 e 2023, o Brasil registrou um total de 109.572 casos de meningite. A enfermidade afetou principalmente homens (n=64.148), a região sudeste (n=58.860), com evolução de alta (n=84.305), e a principal faixa etária de 20 a 39 anos de idade (n=21.259). Conclusão: Este estudo analisou a epidemiologia da meningite no Brasil de 2016 a 2023, destacando a estabilidade dos casos devido à vacinação e a redução dos diagnósticos durante a pandemia da COVID-19. Os dados mostram a influência de fatores regionais e sociodemográficos na incidência, com predomínio de etiologia viral. A pesquisa sugere a necessidade de melhorias diagnósticas e políticas de saúde pública mais eficazes e que futuras pesquisas desenvolvam estudos longitudinais detalhados para melhor compreensão e controle da meningite no Brasil.
Intoxicação digital na primeira infância
Authors: Alcântara Márcia Aparecida Pinto de , Cavalcante Cláudia Carvalho de Almeida
Published: February 2025

Objetivo: Investigar os impactos psicológicos e sociais da exposição precoce à tecnologia digital durante a primeira infância, buscando compreender como essa interação influencia o desenvolvimento cognitivo, as habilidades sociais e a saúde mental das crianças. Revisão bibliográfica: O avanço das tecnologias digitais e sua presença cada vez mais frequente na vida cotidiana têm alterado o ambiente em que as crianças crescem e se desenvolvem, especialmente na primeira infância. Com o acesso precoce a dispositivos digitais, surgem novas possibilidades para o aprendizado e a comunicação infantil, mas também aumentam os riscos de impactos adversos ao seu desenvolvimento. Embora a tecnologia digital possa promover o aprendizado e engajar crianças em novas formas de interação, a exposição excessiva sem orientação impacta negativamente aspectos como atenção, socialização e desenvolvimento emocional. Considerações finais: Para otimizar os benefícios da tecnologia e minimizar seus riscos, é fundamental que pais e educadores estabeleçam limites, promovam atividades presenciais e selecionem conteúdos apropriados para promover um desenvolvimento saudável na primeira infância.
ПРОЕКТИРОВАНИЕ СТРАТЕГИИ ТЕХНОЛОГИЧНОГО РАЗВИТИЯ ПРОВИНЦИАЛЬНОГО РЕГИОНА
Authors: Белокур О.С. , Цветкова Г.С.
Published: February 2025

Обоснована актуальность фокусированного развития социально-экономической системы провинциального региона. На основе корреляционного анализа, расчёта коэффициентов локализации и производительности труда определены ключевые приоритеты и отрасли специализации провинциального региона, способные выступить драйверами технологичного развития. Разработана модель стратегии технологичного развития региона на основе стейкхолдер-анализа и концепции сбалансированных показателей.

Introduction. The speed of creation of new products, technologies, and markets, and active transformation of business processes and marketing communications make it possible to develop new strategic guidelines for Russian regions. In these conditions, the problem of developing effective strategies for Russian provincial regions with limited resource and economic potential is acute. The goal of the study is to design the key elements of the technological development strategy for Mari El Republic, including strategic guidelines, supporting industries, and the interests of stakeholders. The analysis of the structure of the region's economy based on the localization and labor productivity indicators confirmed the existence of objective opportunities for choosing a strategy for technological development of Mari El Republic. Results. The model of regional strategy of technological development includes a description of the management object, the center as a control element, the subjects of the strategy, the mechanism, and the results of the strategy. The features of the strategy subjects are given on the basis of stakeholder analysis. The description of the strategy implementation algorithm was carried out on the basis of a system of balanced indicators, construction of a strategic map in the following projections - "personnel", "internal processes", "markets and consumers", "finance". Conclusion. The main result of the study is a model of implementation of a technological scenario in the region. The model shows the cause-and-effect relationship between the resources and the results of the region’s development, as well as it highlights the most significant components which define the success of the implementation of the technological development strategy.
РОЛЬ И ЗНАЧЕНИЕ НАУЧНОГО ПРЕДВИДЕНИЯ В СОВРЕМЕННОЙ ЭКОНОМИКЕ
Authors: Холодова М.А.
Published: February 2025

В статье рассматривается роль и значение научного предвидения в современной экономике. Представлена трактовка ключевых элементов научного предвидения, среди которых планирование и прогнозирование. Обосновано, что основу стратегического планирования в условиях усиления неопределённости внешней среды и стремительных технологических изменений составляет долгосрочное прогнозирование.

Introduction. Today particular attention is paid to the problems of scientific prediction from top to bottom due to quick changes in the external environment such as economy globalization processes, qualitative changes in its structure, rapid spread of innovations, change of technological and economic orders. The goal of the study is to ground the role of economic prediction in modern economy, define the primary importance of the system of scientific prediction in the context of quick changes of the external environment, characterized by the change of technological and economic orders. Results. The critical overview of scientific sources showed that under prediction it was understood a scientifically grounded presentation of development of the future,based on the knowledge about the laws of nature, society and thought. The interpretation of the notion “planning” and “forecasting”, which are the successive steps of prediction of behavior of the studied object in the long run, was considered. In practice, an optimal long-term forecasting shall be based on at least three forecasts: «standard», «specific», and «conservative». At that, the development and ground of the “specific forecast” is obligatory as it is supposed to study the full potential,necessary for sustainable economic growth, aimed at implementing the strategic priorities. Modern system of scientific prediction includes aset of interrelated elements (hypotheses, concepts, forecasts, plans, programs, and economic orientation), and it is named the “strategic planning”. It is demonstrated that the forecasting constituent of the strategic planning system shall be of system and variative nature, shall be institutionalized, and shall be the imperative for contouring of the scientific and technological and economic policy. A simulation nature of the system of strategic planning of economy in Russia is justified. The author concluded that the system approach for elaborating and grounding of long-term forecasts in socio-economic development of national economy contributed to the development of a methodology of strategic planning.
ЭНЕРГОЭФФЕКТИВНЫЕ КОНТРАКТЫ В ОБЩЕСТВЕННОМ СЕКТОРЕ
Authors: Белокрылов К.А.
Published: February 2025

Рассмотрены вопросы значимости проблемы энергосбережения в условиях перехода от «коричневой» к «зелёной» экономике, дана оценка места энергоэффективных контрактов в национальной системе «зелёных» закупок для обеспечения нужд учреждений общественного сектора. Результаты проведённого исследования, опыт общения автора с государственными и муниципальными заказчиками в Пилотном центре госзакупок Южного федерального университета, анализ результатов их анкетирования, разбор практик заключения энергоэффективных контрактов позволили предложить систему мер совершенствования национальной политики по энергосбережению и обеспечению энергетической эффективности.

Introduction. The implementation of the UN Sustainable Development Goals implies a transition from a "brown" to a "green" economy, stimulated in the public sector by "green" or "sustainable" procurement, ensuring a gradual reduction in the negative impact of global production on nature and society as a result of the purchase of goods needed by the state. Of course, the current energy crisis has highlighted the problem of balancing the use of renewable and non-renewable energy sources. In these conditions, the importance of and the need for enhancing such critical environmental characteristics of goods and services as energy saving and energy efficiency become even more critical, and the tools to achieve those are energy efficiency (energy service) contracts. The study is aimed at assessing the role of energy efficient contracts in the national system of "green" procurement in order to meet the needs of the public sector institutions, as well as at justifying the general measures towards modernization of the state policy of energy conservation. On the basis of cluster and discriminant analysis of big data on various socio-economic and environmental indicators, accumulated in the databases of the UN and the World Bank, 200 countries were divided into five groups according to their levels of environmental and economic indicators. The results can be used by governments to simultaneously stimulate the economic and environmental development by creating incentives for the public sector to purchase green products. Conclusion. Measures have been proposed to improve the energy-saving indicators in the public procurement of passenger cars and in the process of establishing long-term target energy service agreements.
Трансформация подходов к организации технического обслуживания и ремонта машин и оборудования. К столетию системы планово-предупредительного ремонта
Authors: Ревенко Н.Ф. , Иванова Т.Н. , Мищенкова О.В.
Published: February 2025

Статья содержит обзор представлений о проблеме улучшения системы планово-предупредительного ремонта и системы технического обслуживания и ремонта, и обновления устаревшей нормативной базы производства ремонтных работ и услуг на технологическом оборудовании промышленных предприятий. Представлен краткий экспресс-анализ сущности, преимуществ, недостатков и эволюционного совершенствования системы планово-предупредительного ремонта оборудования на современном этапе развития технологических укладов в России.

Introduction. The complexity of the technical means of industrial production caused by the acceleration of scientific and technological progress leads to a change in the requirements for the organization of maintenance and repair of fixed assets, since the competitiveness of industrial enterprises largely depends on the state of the technical and technological base. To conduct production operation and maintain the technical condition of equipment at most industrial enterprises in Russia, a system of scheduled preventive maintenance is used, often perceived as outdated and requiring improvement after a hundred years of operation. Goals. The article is aimed at studying the transformation of approaches to the organization of maintenance and repair of machinery and equipment and systematization of the main shortcomings of the system of preventive maintenance of equipment of industrial enterprises that affect the planning and maintenance of the fixed assets of the enterprise, the formation of a stable state of technological processes and the establishment of the required quality of products. Data and methods. The article provides a brief express analysis of the essence, advantages, disadvantages and evolutionary improvement of the system of preventive maintenance of equipment at the present stage of development of technological structures in Russia. The methodological basis is the traditional methods of scientific analysis, methods of economic and mathematical statistics, technical, economic and logical analysis, systematization and ranking. Results. The article contains an overview of ideas about the problem of improving the system of scheduled preventive maintenance and the system of maintenance and repair and updating the outdated regulatory framework for the production of repairs and services on technological equipment of industrial enterprises. Conclusions. The system of preventive maintenance of technological equipment after the development of a modern regulatory framework for the production of repair work and the use of information systems for managing the processes of operation and repair can meet modern requirements.
О САМОЧУВСТВИИ МАЛОГО И СРЕДНЕГО БИЗНЕСА В УСЛОВИЯХ ПАНДЕМИИ
Authors: Хамидуллин Ф.Ф. , Найда А.М.
Published: February 2025

В статье представлены результаты анонимного анкетного опроса предпринимателей Республики Татарстан с целью определения состояния субъектов малого и среднего бизнеса в период пандемии 2020–2021 гг. Проведён сравнительный анализ ответов респондентов зарубежных предпринимателей (Республики Сенегал, Арабской Республики Египет, Исламского Эмирата Афганистан), осуществляющих свою деятельность в сфере общепита, торговли и оказания услуг в условиях распространения инфекции COVID-19. Сделан вывод, что государственная поддержка субъектов малого и среднего бизнеса в условиях экономического кризиса и пандемии оказалась явно недостаточной.

Introduction. The spring of 2020 put Russian entrepreneurs in an extremely difficult situation. The revenues of most small companies declined dramatically; in the context of the quarantine measures taken by the national and regional authorities, the businesses even appeared on the brink of bankruptcy. The aim of the study is to analyze the current trends in the internal and external environment of small and medium-sized businesses in the catering, trade and services sectors due to the emergence of new sources of instability, including coronavirus disease, in the global and national economies. Systematization, comparative analysis and generalization, analysis and synthesis were used as the main research methods. Results.The paper discusses the findings of a study of small and medium-sized business entities over the period 2020–2021, based on an anonymous questionnaire survey of entrepreneurs in the cities of Kazan, Zelenodolsk, and Naberezhnye Chelny in the Republic of Tatarstan. The survey data collected from Tatarstan respondents were compared with the responses of representatives of small and medium-sized businesses from the Republic of Senegal, the Arab Republic of Egypt, and the Islamic Emirate of Afghanistan. The majority of the surveyed business representatives showed concern about creating their financial safety cushions, which would allow them to survive the times of economic crisis. At the same time, the small companies are planning to refrain from getting bank loans due to the increased risk of becoming financially dependent, while giving preference to small operating loans from relatives, familiar entrepreneurs, or friends. Conclusions.Despite the significant challenges, small and medium-sized businesses are trying to cope with the problems on their own, without relying much on government support. The entrepreneurs who can quickly adapt to current conditions and manage the situation, will undoubtedly change their businesses for the better.
Планирование изменений в маркетинговой деятельности предприятий
Authors: Беркутова Т.А. , Мищенкова О.В.
Published: February 2025

Рассмотрены комплексные методики оценки ресурсного потенциала предприятия для проведения изменений в маркетинговой деятельности. Дано ранжирование изменений в маркетинговой деятельности организации по степени сложности и времени проведения, выделено три уровня сложности изменений. Представлена классификационная матрица «ресурсы – потери», дана систематизация изменений по критериям рисков, ресурсов и потерь. Разработанные инструменты планирования преобразований позволяют сформировать динамический потенциал предприятий как его способность к изменениям внутренней структуры, систем, технологий и персонала в условиях адаптации к внешней среде и определить очерёдность проведения изменений, учитывая состав фактов внешней и внутренней среды предприятия (риски, потери, цели предприятия, потенциал для проведения изменений).

Introduction. The dynamic nature of the external environment of enterprises implies constant changes in the criteria of competitiveness and efficiency, which leads to the emergence of new business goals, new tools and methods of work, changes in the ownership structure, relationships, the development of new functions and directions, diversification and integration. Changing business goals makes the task of planning changes urgent. The article is aimed at the development of tools for planning changes in marketing activities. Data and methods. The methodological basis is the traditional methods of scientific analysis, methods of economic and mathematical statistics, technical, economic and logical analysis, systematization and ranking. The results obtained. Tools for planning changes in marketing activities are proposed. Conclusions. The developed transformation planning tools make it possible to determine the order of changes, taking into account the composition of the facts of the external and internal environment of the enterprise (risks, losses, goals of the enterprise, the potential for changes).
ЦИФРОВАЯ ТРАНСФОРМАЦИЯ В СОЦИАЛЬНОЙ СФЕРЕ: ТЕНДЕНЦИИ И ПЕРСПЕКТИВЫ
Authors: Зыкова Н.Н.
Published: February 2025

В статье раскрываются особенности цифровой трансформации в социальной сфере. Показано, в чём заключается цифровая трансформация в данной сфере и какие возможные эффекты от её реализации. Описаны особенности цифровой трансформации исследуемой сферы, связанные с трудностями перехода от традиционных социальных институтов к цифровым инструментам взаимодействия благополучателей и учреждений, оказывающих услуги социальной помощи населению. Сформулирован вывод о необходимости поддержки со стороны государства в сфере цифровой трансформации сектора социальной защиты населения.

Introduction. The development of the economy and the social sphere is strategically important for modern Russia. The social sphere is related to the provision of services to the population. Social services are the central element of the new social service model. The purpose of the research is to study the current state of digital transformation in the social sphere and identify problems associated with the provision of social services using digital services. Each region of the Russian Federation has its own system of social services that provide social services to the population. The range of services rendered by the social services grows every year. Digital resources are becoming the primary tool for providing assistance. The Government of the Russian Federation approved the Concept of Digital and Functional Transformation of the Social Sphere. A new Federal State Institution Sotstekh ("Information Technologies in the Social Sphere") was established. The main task of this institution is to develop and support IT systems in the social sphere. Today, the priority of the social policy in the Russian Federation is the transition to proactive methods of providing social services to people. In the digital age, management of the social sphere largely depends on the end-to-end digital technologies introduced into the social services. Such technologies include social networks, intelligent applications, the Internet of things, big data and learning analytics, 3D printing and artificial intelligence, cloud technologies. Conclusion. As a result of digital transformation in the social sphere of society, social risks are gradually increasing. On the one hand, there is a low level of digital literacy among end-users of social services. As new services for the population are introduced and developed, new challenges will arise. On the other hand, there is a problem of inadequate digital literacy of employees of social institutions. Therefore, digital transformation of the social sphere is a process aimed at reshaping the operating mechanisms of social institutions, as well as their interactions with recipients of social services.
Исследование неустойчивостей в астрофизике: численный и аналитический подходы дополняют друг друга
Authors: Соколов Д.Д.
Published: February 2025

На примере исследования задач о развитии неустойчивостей, возникающих при формировании магнитного поля в небесных телах, обсуждается соотношение численных и аналитических методов исследования сложных естественнонаучных задач. В качестве таких примеров рассматриваются задачи о возникновении перемежаемости при развитии неустойчивости в случайной среде и задача о свободном распаде турбулентности при наличии магнитного поля. Изложение сконцентрировано вокруг работ, выполненных в разное время в Московском университете.

Basing on experiences study of magnetic field formation in celestial bodies we discuss relation between numerical and analytical approaches in complicated scientific problems. As instructive examples, we consider phenomenon of intermittency in instabilities in random media as well as free decay of magnetized turbulence. The discussion is concentrated on investigations preformed in the Moscow university.
Multi-objective Bayesian optimization for experimental design in co- polymerization and revealing chemical mechanism of Pareto fronts
Authors: Yamada Hiromu , Takasuka Shogo , Oikawa Shunto , Harashima Yosuke , Takayama Tomoaki , Nag Aniruddha , Wakiuchi Araki , Ando Tsuyoshi , Sugawara Tetsunori , Hatanaka Miho , Miyao Tomoyuki , Matsubara Takamitsu , Ohnishi Yu-ya , Ajiro Hiroharu , Fujii Mikiya
Published: February 2025

The chemical properties of copolymers are strongly influenced by a number of intrinsic characteristics such as their molecular weight and their monomer composition ratio. Identifying the optimal conditions for the copolymerization process that results in a synthesized copolymer with the desired characteristics is a major challenge. Optimization of the copolymerization process has traditionally been based on trial-and-error approaches by humans relying on em-pirical rules. Thus, the design space that can be explored experimentally is severely limited under time and economic constraints. In addition, solving problems such as nonuniformity of both temperature and the concentration of chemi-cals in the reaction field is also challenging. In this study, we established multi-objective Bayesian optimization and flow copolymerization systems to explore optimal copolymerization conditions for synthesizing copolymers that sim-ultaneously exhibit multiple target characteristics. Finally, we visualized Pareto fronts representing trade-offs be-tween polymer characteristics and employed quantum chemical calculations to reveal chemical origins of Pareto fronts.
New Osmocene and Ruthenocene Phases Reveal the Common Conformational Behavior Regulated by Anagostic Bonds in Prototypical Metallocenes
Authors: Moszczyńska Ida , Szafrański Marek , Katrusiak Andrzej
Published: February 2025

Ruthenocene and osmocene, at normal conditions isostructural to low-temperature ferrocene phase III, are regarded as prototypic metallocenes exclusively present in the energetically-favored eclipsed conformation. This strong preference contrasts with ferrocene, exhibiting the staggered, rotated, eclipsed, disordered and modulated conformations in its five polymorphic forms. Here we show that ruthenocene at 394.0 K and osmocene at 421.5 K transform to new higher-symmetry phases, disordered between the staggered and eclipsed conformers. For the prototypic metallocenes, a common pattern of transformations leading to disordered conformations has been connected with intramolecular anagostic bonds CH‧‧‧M (M = Fe, Ni, Ru, Os). Their strength correlates with the critical temperatures of phase transitions, when the anagostic bonds are broken.