bluuebunny/crossref_metadata_2025_split huggingface dataset:
Data-Driven Prediction of Storage Column Height for H2-Brine Systems: Accelerating Underground Hydrogen Storage
Authors: Janjua Aneeq Nasir , Tariq Zeeshan , Ali Muhammad , Patil Shirish , Kamal Muhammad Shahzad 
Published: February 2025

Abstract
A practical solution to energy transition and the increasing demand for energy is underground hydrogen storage (UHS). The contribution of hydrogen (H2) as a clean energy source has proven to be an effective substitute for future use to meet the net-zero target and reduce anthropogenic greenhouse gas emissions. One of the most important factors affecting H2 displacement and storage capacity under geological circumstances is storage column height. The objective of this study is to underscore the importance of large-scale H2 storage and use reliable machine learning algorithms to evaluate and predict the H2 storage column height under varied thermophysical and salinity conditions.
In this study, the dataset of 540 datapoints for the evaluation and prediction of storage column height is generated, which involves three main parameters: density difference (Δρ), interfacial tension (IFT) and contact angle (θ). The correlation of contact angles against various reservoir depths is used and H2 storage column height is evaluated. Thermophysical conditions include pressures (0.1-20 MPa), temperatures (25-70°C), and salinities including deionized water, seawater and brines of 1 and 3 molar concentrations for various salts (NaCl, KCl, MgCl2, CaCl2, and Na2SO4) from our experimental data. The H2 storage column height (h) is predicted using three machine learning (ML) models, viz., random forest (RF), decision tree (DT) and gradient boosting (GB).
Statistical data analysis is performed to generate the distribution of dataset and correlation coefficient is calculated while feature importance is determined to identify the relationship of each input parameter with output parameter using Pearson, Spearman, and Kendall models. RF and GB, as demonstrated in this study, have shown promising results in providing accurate predictions while maintaining generalizability. Various error assessment metrics including MSE, RMSE, MAPE and R2 are utilized for the evaluation. Prediction of column height resulted in R2 values of 0.995 for training and 0.999 for testing with RF model. Whereas the GB model also resulted in superior performance with R2 values of 0.997 during the training phase and 0.995 during the testing phase. However, the DT model resulted in R2 values of 1 and 0.994 during the training and testing phases respectively. While MSE value of 0 is obtained for DT model which indicated overfitting.
The findings of this study suggest that data-driven ML models can be a powerful tool for accurately predicting the H2 storage column height and can be effectively used to determine the displacement of H2 and storage capacity, reducing the time and cost associated with determination using traditional methods. In addition, advanced ML algorithms can be explored in the future to overcome the challenges pertinent to the determination of storage column height.
Irregular Well Pattern of Shale Oil in Ordos Basin: Fracturing Challenges and Practices
Authors: Mu Lijun , Qi Yin , Cao Wei , Xue Xiaojia , Zhang Muyang , Chen Wenbin , Ma Bing , Bai Jie , Zhang Yangyang 
Published: February 2025

Abstract
Efficient utilization of unconventional resources hinges on the strategic deployment of wells across multiple pads on a large scale. However, the unique geomorphological constraints, along with considerations for the forest reserves and water source reserves in the Loess Plateau, pose limitations on the well pattern for Chang 7 shale oil in the Ordos Basin. To enhance the utilization of pad reserves, an innovative approach suggests the adoption of a fan-shaped well pattern.
Based on the study area, a high-precision 3D geological and geomechanical model was meticulously developed. This model enabled the exploration of the impact of various horizontal well trajectory directions on fracture propagation and productivity. The optimization demonstration of well placement within the pad fan-shaped area was carried out concurrently. Additionally, a comprehensive analysis was conducted by integrating field trial, enabling a thorough assessment of the differences in fracturing effects and productivity.
In contrast to conventional horizontal wells, productivity of oblique horizontal wells exhibits a decline as the deflection angle (the angle between the horizontal well trajectory and the minimum horizontal principal stress direction) increases. Taking into account the lateral length and conventional well spacing, the optimized fan-shaped well spacing is 150-200m at the heel and 700-750m at the toe. Fractures in oblique wells initially propagate along the vertical wellbore direction, gradually deflecting towards the maximum horizontal principal stress direction due to stress control. Despite the small stimulated reservoir volume (SRV) and delayed oil discovery associated with oblique wells, their notable characteristics include a high shut-in pressure, pronounced fracture complexity, and a more sufficient stimulation. Comparative analysis with actual production results reveals that the cumulative production of oblique wells is lower than that of conventional wells. However, the difference in production shrinks after the end of the flowback period, indicating corresponding development potential.
In this study, the irregular well pattern is demonstrated under the well pad limitation, and the field trial results are analyzed and evaluated, which provides guidance for similar development models.
A Diagnosis Method for Lost Circulation Based on Improved Symbolic Aggregate Approximation and Support Vector Machine
Authors: Yin BangTang , Chen Cheng , Jia ChaoJie , Feng Kai , Wang Zhiyuan , Sun Baojiang 
Published: February 2025

Abstract
In the process of ultra-deepwater drilling, the safe density window is narrow, and there are issues with large temperature differences and alternating high and low temperatures, making wellbore pressure control challenging and highly prone to complex lost circulation incidents. To achieve safe and efficient drilling, accurate identification and timely monitoring of complex lost circulation incidents are essential. To address the current issues of insufficient real-time performance and accuracy in lost circulation monitoring for ultra-deepwater drilling, this paper proposes a multi-parameter lost circulation monitoring method based on support vector machine (SVM). Firstly, a transient hydraulic model for lost circulation in ultra-deepwater drilling was established to capture the variation patterns of wellbore flow parameters during loss incidents, thereby creating a standard model for lost circulation monitoring parameters. Then, by considering the average difference and slope characteristics of the time series of these parameters, an improvement was made to the classic symbolic aggregate approximation (SAX) method. This method was used to perform dimensionality reduction on real-time drilling data, calculating the similarity metric distance between the monitoring parameters and their corresponding standard model, thereby enhancing data processing efficiency. Finally, a multi-parameter lost circulation monitoring model based on Particle Swarm Optimization-Support Vector Machine (PSO-SVM) was constructed. This model uses the similarity metric distances of multiple monitoring parameters to comprehensively assess complex lost circulation conditions, thus improving the accuracy of lost circulation monitoring. A case study was conducted on a lost circulation well in the South China Sea, and the results demonstrated that this method effectively identifies complex lost circulation conditions with good real-time performance and accuracy, providing a new approach for monitoring complex lost circulation conditions in ultra-deepwater drilling.
Net Zero CO2 Emission Utilizing Energy from Gas Hydrates - Carbon Neutral Methane Production with CO2 Storage and Conversion to Hydrogen
Authors: Graue Arne , Ersland Geir 
Published: February 2025

Abstract
While the world needs more energy, there is a growing societal demand to cut emissions. IEA estimates that 70% of energy consumption in 2035 will still be from fossil fuels. Due to the concern for global warming, new energy resources need to be cleaner, although the dependency on fossil fuels will continue. This paper presents a net-zero emission technology to meet this challenge by methane production from natural gas hydrates with concomitant CO2 storage. To demonstrate the technology for industry and investors, laboratory results have been upscaled to a field pilot test performed in Alaska. Utilizing CO2 as a commodity to produce methane from hydrates, in a carbon neutral exchange technology, has provided a disruptive new CCUS technology. This technology may reduce CO2 emissions by 50% when substituting methane for coal in power plants. When producing hydrogen from the produced methane, hydrogen is enabled as an energy carrier with no CO2 emissions, even when utilizing energy from fossil fuels.
РАЗВИТИЕ СЕЛЬСКОГО ХОЗЯЙСТВА В СОВРЕМЕННЫХ УСЛОВИЯХ РОССИЙСКОЙ ЭКОНОМИКИ
Authors: Холодов О.А. , Холодова М.А. 
Published: February 2025

Рассмотрены особенности развития сельскохозяйственного производства в современных условиях российской экономики. Выделены качественные и количественные характеристики новой российской реальности в аграрном секторе страны и отдельных её регионах. На примере Ростовской области изучен опыт реализации политики импортозамещения в сфере продовольствия и определены параметры несырьевой модели развития национальной экономики в долгосрочной перспективе.
Introduction. In present-day conditions of Russian economy named new normal, new normality, new Russian reality by Russian and foreign economists, the new approaches to the development of a key sector of the economy (agricultural production) are being formed. The paper proves that the transition to fundamentally new trends and parameters of development is the characteristic not only for the global economy, individual national economies, but also for regions and industries.The goal of the research is to reveal the regularities of developing of modern Russian reality in agriculture, to reconsider and adapt the strategy of development of agro-industrial complex to a new course of economic growth. The tasks are to identify the nature and indicators of the concept new normality in the agricultural production of Russia in the current geopolitical tension in the world to analyze the current state and trends for development of agricultural production of the country to assess the level of food self-sufficiency of one of the major agrarian regions of Russian South in the conditions of implementation of import phaseout policy and to identify the trends in its focus on the world food demand. Results. The essential features of new norm in one of the largest agricultural regions in the South of Russia (Rostov region) were determined and grounded. These include quantitative growth of production which does not ensure development of the industry depreciation of machines and tractors low profitability of agricultural producers and high cost of credit package decline in the quality and standard of living of rural population availability of market niches for certain types of products strengthening the international economic conflict and implementation of the policy of food import embargo. The practical significance of the paper is due to the fact that it summarizes the priority lines of state aid for the agro-industrial complex in order to form an institutional environment for creating a sustainable economic framework of import phaseout in the core sectors of agriculture, stimulating the development of territorial and sectoral division of labour in the agro-industrial sector.
МЕТОДИЧЕСКИЕ ПОДХОДЫ К СОВЕРШЕНСТВОВАНИЮ ОТРАСЛЕВОГО ПОКАЗАТЕЛЯ ФОНДООТДАЧИ ПРЕДПРИЯТИЙ И ОРГАНИЗАЦИЙ ОБОРОННО-ПРОМЫШЛЕННОГО КОМПЛЕКСА РОССИИ С ИСПОЛЬЗОВАНИЕМ РАЗЛИЧНЫХ ФОРМ ОТЧЁТНОСТИ
Authors: Акжигитова А.Н. , Родригес П.А.А. 
Published: February 2025

Рассмотрены вопросы оценки эффективности использования основных производственных фондов предприятий и организаций оборонно-промышленного комплекса (ОПК) России. Приведена динамика изменения качественной структуры производственно-технологической базы ОПК России по видам деятельности за 20152017 годы и проведена её оценка. Предложен единый подход для корректного расчёта показателя фондоотдачи, исключающий при его расчёте из стоимости основных фондов объекты, не являющиеся средствами труда при производстве продукции.
Introduction. Dynamic development of competitive, sustainable, and structured and balanced engineering-manufacturing basis of military-industrial complex in Russia makes conditions for the necessity to improve the efficiency of using the key assets of Russian enterprises of military-industrial complex. It is possible to do it through retrofitting and upgrading, implementation the lean principles, development of cooperation ties and workload optimization, digitization of engineering processes and diversification of production as well as liquidation of dated plant capacity. The goal of the research is to enhance the methods of calculation of sector indicator of return on assets for the enterprises and institutions of Russian military-industrial complex using various forms of reporting, accumulated in Federal Unitary Enterprise All-Russian Research Institute Tsentr. Methods. The methods of generalization, systematization, formalization, logical methods as well as the methods of comparative analysis were used in the research in order to study the changes of qualitative structure of engineering-manufacturing basis of military-industrial complex in Russia. Federal Unitary Enterprise All-Russian Research Institute Tsentr has a full infobase for the deep analysis of the activity of branches of military-industrial complex. It gives an opportunity for the institution to enhance the methods of analysis of efficiency for using the working assets of Russian military-industrial complex to obtain a more accurate reflection of current situation and elaboration of the grounded managerial decisions. Results. The problems of assessment of efficiency of utilization the major productive assets of enterprises and institutions of Russian military-industrial complex are considered. Dynamics of the change of qualitative structure of engineering-manufacturing basis of military-industrial complex in Russia by type of activity for 2015-2017 is given, and its assessment is taken. A consistent approach for correct calculation of indicator of return on assets, excluding the facilities in the production of goods out from the cost of key assets, is offered.
МЕСТО МЕЖСЕКТОРНОГО СОЦИАЛЬНОГО ПАРТНЁРСТВАВ РЕГИОНЕ НА ОСНОВЕ СИСТЕМНОГО ПОДХОДА
Authors: Копытов Е.Д. , Лапцова Е.С. 
Published: February 2025

В статье рассматриваются современные тенденции развития межсекторного социального партнёрства, его возможности в решении актуальных социально-экономических проблем. Межсекторное социальное партнёрство анализируется сквозь призму системного подхода как направления методологии научного познания, основной задачей которого является исследование сложноорганизованных объектов. Построена иерархическая теоретическая модель места межсекторного социального партнёрства в регионе. Научная новизна данной статьи состоит в том, что было конкретизировано место межсекторного социального партнёрства в регионе на основании соотнесения субъектов межсекторного социального партнёрства с компонентами региональной системы в рамках системного подхода.
Introduction. The role and the importance of the region in the system of economic entities is increasing, thus, it is relevant to shift the interest alignment to the territorial level. At the same time, the region has a large number of actors engaged in activities addressing socio-economic problems through the use of various mechanisms, tools and technologies, and one of the most promising of them is the intersectoral social partnership. Since this mechanism is currently underway, it has not yet fitted in the regional development. In this regard, the purpose of the current research is to determine the role of intersectoral social partnership in the region. The scientific novelty of this paler is that the authors used systems approach to determine the role of intersectoral social partnership in the region based on the correlation of actors involved in intersectoral social partnership with the components of the regional system. Methods.The social partnership should be regarded from the position of a systems approach, since it is most relevant to the goals and objectives of the research. Results. The research has proved the hypothesis that the current model of interaction within the intersectoral social partnership is three-way: business, government and non-profit sector. It has been determined that the participants of the intersectoral social partnership: business, government and society fully correspond to the 1st group of components of the regional system according to the approach of L. S. Shekhovtsev. These elements are active target elements. The correspondence of the active elements of the regional system to the sectors involved in intersectoral social partnership makes it possible to determine the role of intersectoral social partnership in the region. Conclusion. Intersectoral social partnership is an integral component and the basis for regional development. It is essential to address and solve socio-economic problems in the region.
КАНАЛЫ ПОИСКА ПАРТНЁРОВ СЕРБСКОЙ КОМПАНИЕЙ ELITAS НА РОССИЙСКОМ РЫНКЕ
Authors: Белобородова А.Л. , Ильина Н.А. 
Published: February 2025

Поиск партнёров на рынке другой страны непростая задача для любого предприятия. В данной статье на примере сербской компании Elitas, занимающейся производством рекламных конструкций, рассмотрен процесс формирования партнёрской базы российских компаний. Были выбраны следующие коммуникационные каналы для поиска потенциальных партнёров: прямая рассылка электронных писем, поиск бизнес-партнёров на Интернет-площадках (таких как Sberbank partner, Бизнес партнёр, Partnersearch), участие в международных выставках и ярмарках, участие в тендерах и использование личных связейи знакомств. Описаны полученные результаты работы с каждым из коммуникационных каналов, позволяющие оценить их эффективность.
Introduction. Russia conducts an active policy in many countries of the world including Serbia. As of now Russia and Serbia have signed more than 20 intergovernmental agreements and protocols, the most important of which is the Free Trade Agreement (FTA) enacted in 2000 and the Declaration on strategic partnership between Russia and Serbia enacted in 2013. These agreements ensure win-win relations between Russian and Serbian companies. One of the companies pursuing partner relationship with Russia was the Serbian company Elitas, involved in adversicement production on the domestic and foreign markets. The main competitive advantage of the company Elitas is its cost and quality effectiveness, which makes it attractive for the Russian advertising market due to the obvious challenges it is currently facing. The paper analyses the possible options of cooperation with the Russian partners, taking the example of Elitas as the case study. Goals and objectives. The research aims to identify the most effective marketing communication tools for the Serbian company Elitas to enter the Russian market. Research results. The research revealed promising segments of Russian companies, which are favoulrable for the Serbian company Elitas to cooperate with and to concentrate on. The following communication channels were chosen to establish contacts: direct e-mailing, search for business partners on Internet platforms (such as Sberbank partner, Business partner, Partnersearch), participation in international exhibitions and fairs, participation in tenders and the use of personal contacts. The paper analyses the results obtained when working with each of the communication channels.
ФОРМИРОВАНИЕ И РЕАЛИЗАЦИЯ ИНВЕСТИЦИОННОЙ ПОЛИТИКИ КОРПОРАЦИИ
Authors: Семенова Н.Н. 
Published: February 2025

В статье проведён анализ существующих подходов к раскрытию экономического содержания дефиниции «инвестиционная политика корпорации». Предложен алгоритм формирования инвестиционной политики корпорации, обоснована роль инвестиционной программы в реализации инвестиционной политики компании. Проведён анализ динамики, структуры и источников финансирования инвестиционной программы ОАО «Российские железные дороги». Рассмотрены инвестиционные приоритеты и ключевые инвестиционные проекты, реализуемые корпорацией.
Introduction. One of the most important areas of a company’s financial policy is the development of investment management and investment policy. The need for companies to form the investment policy is driven by two factors: first, the duration of the investment cycle can be 5-10 years (depending on the field and the scale of production); second, the items created in the framework of investment activities cannot often be converted into the original monetary form. It is impossible for companies to ensure long-term competitive advantages and sustainable economic growth without investment. The purpose of the current research is to examine the peculiar features of development and implementation of corporate investment policy. Results: The article analyzes the existing approaches to the disclosure of the economic content of the definition of "corporate investment policy". The algorithm for forming a company’s investment policy is proposed, and the role of the investment program in the implementation of the company's investment policy is justified. The analysis of the dynamics, structure and sources of financing of the investment program of JSC "Russian Railways" is carried out. Investment priorities and largest investment projects implemented by the company are considered. Conclusion. Corporate investment policy is an integral part of a company’s financial policy. As part of its investment policy, the company determines the volume and structure of its investment portfolio and the sources of investment financing. The main element of the company's investment policy is the investment program, which is a set of various investment projects. The analysis of the investment policy of JSC "Russian Railways" allows us to conclude that the main priorities of the company in the field of investment activities are: modernization and expansion of the main infrastructure; security; updating of rolling stock; increasing transport accessibility for the population; removal of infrastructure restrictions. A distinctive feature of the investment policy of JSC "Russian Railways" is as follows: first, the structure of sources of investment financing is dominated by own funds; secondly, the main share of projects implemented by the company is made up of projects with a payback period of 15-30 years; third, a significant part of the company's investment portfolio is accounted for non-repayable projects financed by the state.