bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fluid-Modulus Inversion for Gas Prediction in the Deep-Water Area of Northern South China Sea
Authors: Xu Leyi , Liu Xumin , Zhang Weiwei 
Published: February 2025

Abstract
Deep-waters increasingly becoming a major field of hydrocarbon exploration, especially in the Northern South China Sea. Besides the extremely high expense of deep-water drilling, substantial-depth natural gas exploration is challenging due to the high complexity and uncertainties of deep water. These unpredictabilities often result in a significant uncertainy in potential reserves. The new method proposed by this paper can quantitatively predict fluid type and gas saturation by direct inversion of fluid modulus under quantitative prediction of reservoir parameters based on neural network. The main idea of such a novel method consists of two steps: Firstly, the critical porosity modeling method is used to find the relationship between rock reservoir parameters and rock elastic parameters, which paves a base for following gas prediction. Thereafter, the elastic parameters are found using the pre-stack elastic parameters inversion technique, and the elastic modulus K is used as a sensitive parameter for gas prediction. On this basis, neural network is used to find the inverse law of the above rock physical laws acting on the elastic parameters of pre-stack inverse bodies. Thus, the shale content and porosity of the reservoir are quantitatively predicted. Secondly, under the premise of quantitatively predicting the porosity and elastic parameters of the reservoir, the method of solid-liquid structure is used to bring the porosity as a known quantity into the inversion equation, in order to quantitatively predict the elastic modulus K of the reservoir fluid, and then realize the quantitative prediction of the gas saturation according to the high correlation between the fluid modulus K and the gas saturation. The method was proven feasible and reliable through multiple drilling in the deep-water area of Northern South China sea as it significantly reduces the uncertainty in prediction, which can be referred to other deep water hydrocarbon cases.
Multiplex Visibility Graphs-Based Hybrid Deep Learning Method for Recognizing Pipeline Operation Conditions Using Operating Data
Authors: Zhang L. , Wang P. , Liu L. , Liu J. , Chen Z. , Dong W. , Li C. , Fan L. 
Published: February 2025

Abstract
Accurate recognition of system operating conditions is the basis for ensuring the safe and stable operation of oil and gas pipeline network systems. However, the existing operating condition recognition mainly relies on manual experience, which cannot dynamically track the changes of pipeline operating status, and the operating data stored in SCADA system lacks operating condition labels, which makes it difficult to explore the potential value of the data. In this work, a hybrid neural network model based on multiplex visibility graphs (MVG) is proposed for operating conditions classification. Firstly, the generative adversarial network algorithms (GANs) are adopted to increase the sample size of abnormal conditions and unsteady conditions to deal with sample imbalance in oil and gas pipeline systems, and the reliability of the generated samples is verified by comparing the similarity of probability distributions of the generated data with the real data. Then, the operating data are mapped into the MVG. Next, an attention mechanism-based graph convolutional neural network (GCN) model and a long short-term memory network (LSTM) model are successively employed in the MVG for capturing spatial and temporal features in the operating data. By introducing the attention mechanism into the GCN model, the model can adaptively discover signal nodes with higher correlation to the target operating conditions, thus improving the classification accuracy. Finally, the proposed model is validated with historical operating data from a real multi-product pipeline system. The results show that the proposed hybrid method can be effectively applied to binary classification of scheduled operations/sling pump (accuracy = 0.95) and multiple classification of pipeline startup and shutdown/sling pump/switching pump/pigging (accuracy = 0.72). The proposed model has the highest recognition performance compared to both the single GCN model and the hybrid model without the attention mechanism. The proposed method is universal and can be promoted and applied to oil pipeline systems and natural gas pipeline systems, which is of great significance for realizing online monitoring of pipeline operating conditions and guaranteeing the safe transportation of oil and gas pipelines. It also provides a new idea for future research on the recognition of small sample operating conditions in oil and gas pipeline systems.
Casing Exit Excellence: a Holistic Strategy of Integrated Engineering Models and Well Integrity Analytics for Extended Reach Wells
Authors: Alharbi Atallah , Petre Rares , Gamal Hany 
Published: February 2025

Abstract
The increasing prevalence of re-entry wells, in response to global demand, necessitates casing exit operations in wells with low production potential, multi-lateral configurations, and obstructions. The rise of extended-reach drilling, facilitated by advanced technology, underscores the evolving landscape and challenges addressed by integrated analytics in this dynamic field. This paper concentrates on optimizing casing exit operations, particularly in extended reach drilling through the integration of technical torque drag and hydraulic model analytics, this approach aims to bolster efficiency while prioritizing well integrity.
The proposed methodology integrates torque, drag, and hydraulic considerations utilizing advanced simulation and analytics, this unified model comprehensively assesses downhole conditions, prioritizing well integrity for casing exit operation. By merging mechanical and hydraulic aspects in pre-job planning, the engineering team provided a holistic understanding, facilitating real-time monitoring and adjusting. This approach empowers dynamic parameter adjustments during casing exit operations, ensuring a proactive stance towards potential challenges. The proposed methodology delves into the technical intricacies of drillstring design and the strategic placement of heavy wall drill pipes.
The integrated model's effectiveness extended to overcoming challenges in the wellbore restrictions, drilling fluid system crucial aspects of casing exit operations for running in the hole, setting, and milling the window. The comprehensive technical engineering modeling incorporated recommendations for optimizing the drilling fluid system, flow rates, and pumping pressures. By technical optimization of these parameters, the integrated solution contributed to reduced friction factors, mitigating torque and drag issues during casing exits. Additionally, the model provided friction factor recommendations that significantly improved the overall drilling efficiency. Notably, the model's capability facilitated real-time adjustments in whipstock setting and milling parameters, allowing the system to seamlessly navigate complex downhole environments in the extended reach job. This approach adeptly manages buckling near liner hanger depth, guaranteeing a secure reach to the total depth crucial for the successful running and setting of the whipstock in a single trip at a setting depth of 18500 ft.
In conclusion, the holistic integration of technical torque and drag with hydraulic models’ analytics represents a significant advancement in casing exit operations, emphasizing the paramount importance of well integrity. This approach improves decision-making, and operational efficiency, and also serves as a proactive strategy to safeguard well integrity throughout the entire casing exit process.
Unplanned Casing Shoe Setting Led to a New Well Schematic Optimized Design for Futures Wells at Quesqui Field
Authors: Rivera A. , Rodriguez C. , Peralta J. , Hernandez A. , Maldonado R. 
Published: February 2025

Abstract
This paper documents the successful optimization of well schematic after an unplanned casing setting. That failure required the use of an Ultra Low Invasion Reinforcement Technologies while drilling Q-49 well in Mexico, which changed the well schematic design for all future wells. The use of these technologies allowed for the effective expansion of the operating window, ultimately leading to a successful completion of the drilling stage without the need for additional casing. The study highlights best practices and lessons learned during the drilling process.
The implementation of Wellbore Shielding technology (also known as Ultra Low Invasion) in the recent field development has proven to be an extremely resistant and flexible solution for real-time hole reinforcement while drilling. This technology has enabled continuous operations without compromising well integrity. Constant monitoring of concentration levels through SBT (Sand Bed Test) enables early detection of unfavorable conditions and prompt action, as demonstrated in the case study to be presented. The use of software while drilling also led to early detection and monitoring of the fluid conditions.
This application allowed the operator to increase the operative window over 900 psi, without destabilizing the wellbore. The drilling fluid density used exceeded well above the maximum permissible level of the density gradient, however no destabilization was observed. This solution also resulted in the elimination of an additional casing to isolate the two formation pressures. Since two different formation pressures had to be drilled with the same drilling fluid, the use of this technology represented a dramatic reduction of fluid loss rate, from 95 bbl/h to less than 1.9 bbl/hr.
This case study demonstrates how using an appropriate formation-strengthening technology, which is proven to significantly increase the operating window and significantly reduce lost circulation under dynamic conditions without suspending operations for loss control, optimizes operating costs and improves operating conditions, leading to the well's success.
Navigating Deepwaters - De-Risking and Early Monetization Opportunities with Early Production System Floater
Authors: Jie Tong Wen , Najib M Aiman B M , Rashid Abd Rais Abd , Suhaimi M Zulfaheem B , Rahman Nik Roshidan B A , Idrus Idzamani B , Saifuzzaman Syamsulzaidi B , Veroba Grant , Jaafar Abd Khalid 
Published: February 2025

Abstract
This paper explores early monetization and technical de-risking for deepwater field development through Early Production Systems (EPS), focusing on the selection study of Floating Production Facilities (FPF). EPS can mitigate risks associated with deepwater reservoirs by providing a cost-effective solution that accelerates initial oil production and improves reservoir understanding within one to two years. Developing the criteria for EPS selection involves collecting data from previous deepwater developments among major oil operators. The approach examines EPS strategies, categorized into redeploying existing FPFs to address reservoir uncertainty, advancing to Full Field Development facilities, or relocating EPS to multiple fields. The selection criteria aim to extend technical boundaries for affordable, rapid EPS solutions. Criteria for FPF selection include hull configurations, design operational life, and metocean conditions at the field location, aligning with the Minimum Technical Requirements (MTR) of EPS. The study made references to the past proven projects, which were successfully implemented in Offshore Malaysia water based on technology maturity, execution and operability risks in shallow water depth. This paper's novelty lies in outlining critical FPF selection criteria to facilitate early monetization and risk mitigation in Deepwater Full Field Development using EPS. Consequently, the technical limitations of FPF as an EPS solution are evaluated for their readiness to provide a technically sound, proven, and economically viable option for early deepwater production.
Resurrecting the Dead; One Well at a Time – An Innovative Approach Saves Time and Boosts Production
Authors: Hashim Qassim , Hamid Saad , Fayiz Mohammad , Khnaifir Waleed 
Published: February 2025

Abstract
The energy industry has a renewed focus towards enhancing production from brownfields. Revisiting dead wells in such fields presents an opportunity to not only revive but also at times prolong the productive life of a field. In gas condensate reservoirs, the phenomenon of liquid loading occurs as the reservoir pressure slides below dew point and liquid start to drop out from the gas phase. In severe liquid loading scenarios, wells cease to produce when the hydrostatic pressure of the liquid column becomes greater than the reservoir pressure. This paper discusses the common challenge of liquid loading in mature retrograde gas reservoirs over time. The paper also describes the best practices to identify, characterize and eventually revive the liquid loaded wells in a practical and cost-effective manner resulting in a significant boost to gas production.
Traditionally, the dead gas wells are considered prime candidates for either nitrogen lifting with coiled tubing or adding perforations in other prolific zones before resorting to re-entry. A holistic study of the production system, enables understanding of production dynamics. As a result, the liquid loading challenges can sometimes be solved in an efficient and cost-effective manner. Such a technique can be as simple as reducing the back pressure on a single well or a cluster of wells. The simplest yet the most effective way of determining this is by means of periodic pressure gradient surveys. This set of data is at times a regulatory requirement in some jurisdictions and is also readily available with operators who have comprehensive well surveillance and integrity management system.
Coupling the pressure surveys with a systems analysis approach, the candidates are shortlisted and qualified as economically feasible for production revival. The next step is to review the surface constraints which may involve debottlenecking the existing flowline network. Once the approach is executed, the well is observed for extended stable flow before accounting for production gain.
A pool of high potential candidate wells was shortlisted after thorough data analysis. Fresh gradient surveys were conducted on prospective wells. The technique was then applied to revive these wells one by one. As a result, a significant gas gain was realized from previously dead wells. Not only did the cost of expensive well intervention was avoided but also sustainable mid to long term production was achieved.
The experience and knowledge shared in this paper will serve as best practices for professional facing similar challenges with liquid loading. The simple yet effective way of quickly deploying this technique can bring immediate value to any organization or individual reading this paper.
О ФАКТОРАХ КОНКУРЕНТОСПОСОБНОСТИ РОССИЙСКИХ НЕФТЕДОБЫВАЮЩИХ КОМПАНИЙ
Authors: Зарипов А.М. 
Published: February 2025

Cтатья посвящена исследованию роли российских нефтедобывающих компаний на мировом рынке энергоносителей. Выполнен анализ рейтинговых оценок по основным показателям функционирования компаний. Выделены и обоснованы внешние и внутренние факторы, влияющие на конкурентоспособность современных российских нефтедобывающих компаний.
Introduction. The mineral-raw materials market is an important component of the economy for any country. Oil, natural gas, and coal deposits in the country contribute to more efficient economy development as the domestic natural resources may be used for the production of goods and services. Besides, export of mineral raw materials enabling to replenish the budget of the country with export incomes is possible. The goal of the study is to make a scientific analysis of the role and place of Russian oil companies in the global market of energy products and reveal the major factors of competitive ability. Materials and methods. The scientific analysis was carried out on the basis of the study of ratings of largest Russian and foreign rating agencies. The study of development trends of energy products modern market and factors determining the competitive ability of Russian oil companies was carried with the use of factual data of IEA, Minenergo of Russia, and the statistics of Federal State Statistics Service. Results. According to the analysis results, PАО “NK Rosneft`”, PАО“Lukoil”, PАО “Gazpromneft`”. PАО “Surgutneftegaz”, PАО“Tatneft`” are the top five Russian oil companies for today. Russian oil companies are in the second top ten companies in the world ranking. The 2019-2020 crisis had a negative impact on the Russian economy, including oil companies performance. In 2020, the slowdown in rate of growth revenues from sales almost in all Russian oil companies was observed. Competitive ability of Russian oil companies is defined with both external and internal factors. The external factors of competitive ability include the world market conjuncture, which depends on the demand and offer flow on energy products of exporters and importers of mineral raw materials as well as the price trends for oil, natural gas, coal, and other energy resources. Technical state of companies, their investment activity, structure factor, effectiveness of state policy in this sector of economy and some other factors are the internal factors of competitive ability of oil companies. Conclusion. To improve the competitive ability of Russian oil companies, it is important to impose a new windfall profits tax that shall encourage companies to invest into the deposits with the highest aggregate value added maximum avoiding from manual control through targeted benefits.
ТЕХНОЛОГИЧЕСКАЯ МОДЕРНИЗАЦИЯ РЕГИОНА И ФАКТОР ПРЕДПРИНИМАТЕЛЬСКОГО ПОВЕДЕНИЯ
Authors: Полторыхина С.В. 
Published: February 2025

Рассматривается проблема взаимосвязи технологической модернизации региона и факторов предпринимательского поведения. Проведён критический анализ понятия технологического уклада и подходов к определению предпринимательского поведения. Разработана схема личностного и группового целеполагания как основы смены технологических укладов. Установлена актуальность разработки предпринимательских управленческих решений нового типа.
Introduction. Today`s 6th technological mode is inextricably linked to the sweeping technological changes, which, in turn, require a completely new technological base establishment. This creates a prime importance of innovations, which most certainly change the approach to the economic systems, their structures, and institutions. Competitive entrepreneurial behavior plays a crucial role in the technological modes evolution. The goal of the study is to identify the relationship between the technological modernization of a region and factors of entrepreneurial behavior, determining the need in making the innovative managerial decisions. The task of the study is to make an analysis and a theoretical grounding of technological modes evolution from the perspective of the competitive entrepreneurial behavior as well as the study of modernization processes and the process of the technological mode change. Methods of analysis and synthesis, system analysis, and historico- evolutionistic institutional methods were used in the study. Results. In the context of earlier considered models of functioning and modernization of economic systems and the drivers for the technological mode change, the entrepreneurs act as an active start that can transform both means and factors of production and , in part, the communication environment, that is the institutional aspects of economic activity. Today the 6th technological mode, which is the newest one in the evolution stage, plays an important role in the competitive entrepreneurial behavior. This mode predetermined the change in the entrepreneurial managerial decisions. Conclusion. In the context of the 6thtechnological mode, elaboration of innovative entrepreneurial managerial decisions becomes important. The essence of this mode includes the simultaneous cost saving due to the elimination of insignificant competitive factors of external environment and implementation of the new ones and mitigation of risks of decision-making based on the analytical tools for value innovation creation which should be based on the parallel development of the innovation itself and its value in the eye of a consumer.
ОТ ДЕМОНСТРАТИВНОГО СВЕРХПОТРЕБЛЕНИЯ К УСТОЙЧИВОМУ ПОТРЕБЛЕНИЮ: КОНЦЕПЦИЯ ПЕРЕХОДА
Authors: Стрижак А.Ю. , Манчева И.К. 
Published: February 2025

В статье исследована проблема демонстративного потребления в странах с рыночной экономикой. Исследованы социальные издержки производства и потребления продукции люксовых брендов. Разработана концепция перехода от демонстративного сверхпотребления к устойчивому потреблению в странах с развивающимися рынками.
Introduction. Demonstrative consumption as a form of wasteful use of resources is firmly rooted in the capitalist world and has become a kind of quasi-philosophy of modern society with its central ideological principle of utilitarianism. On the one hand, the demonstrative consumption can be a manifestation of social mobility; on the other hand, it brings about an array of socio-economic and environmental problems, creating an obstacle to effective sustainable development. The demonstrative consumption (especially in highly income-differentiated countries) poses a latent threat of status anxiety and often leads to social conflicts. The issue of shifting from demonstrative overconsumption to sustainable consumption in emerging markets is therefore highly topical and requires close attention from scientists, the state and the civil society institutions. This article is aimed at developing the concept of shifting from demonstrative overconsumption to sustainable consumption in emerging markets. Results. The normative approach to sustainable consumption requires the consumer to use resources with the highest marginal utility. However, consumer habits are due not so much to the functional as to the symbolic value of the product, and the consumption process itself is a complex symbiosis of heterogeneous social rules and clichés. Despite the social costs of consuming luxury goods, the traditional values of luxury brands have a strong impact on consumer behavior. Many luxury brands embed sustainability into a competitive business strategy. The problem of the transition of the society to sustainable consumption implies active participation of the state in the formation of appropriate institutions that affect consumer behavior: motivation, information, training, control, and enforcement. The shift from demonstrative overconsumption to sustainable consumption should evolve in a culturally sensitive manner of emerging markets. The authors proposed a concept for the transition to sustainable consumption in emerging markets that includes economic, sociocultural, legal and environmental practices, as well as related implementation tools. The result of the implementation of the concept will be the formation of a new culture of sustainable consumption in modern Russian society. Conclusion. The well-being of the society will depend on collective efforts to reduce income inequality and create a culture of sustainable production and consumption to conserve strategic resources and create new public goods towards effective economic development.