bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of a Robust Bi-Objective Optimization Procedure for Production Optimization of Fractured Reservoirs using EDFM and StoSAG Algorithm
Authors: Zhou Wenxin , Xu Jianchun , Liu Junrong , Sun Wenyue 
Published: February 2025

Abstract
Naturally fractured reservoirs present large development risks due to the uncertainty nature of complex subsurface fracture distributions and heterogeneous petrophysical properties. therefore, it is important to consider geological uncertainties when performing field development optimization for fractured reservoirs. The objective of this study is to propose a robust optimization method capable of considering multiple fractured model realizations while performing bi-objective optimizations focused on maximizing field Net Present Value (NPV) and minimizing specific risk metrics. In this study, the embedded discrete fracture model (EDFM) was used to perform forward simulations for fracture reservoirs, and the stochastic simplex approximate gradient (StoSAG) algorithm was adopted as the optimizer. With respect to the optimization target, we considered both the mean NPV of multiple realizations and a specified risk metric of NPV from the worst-case scenario, the standard deviation, or conditional value at risk (CvaR). The Lexicographic method was employed to handle the bi-objective optimization. This method was applied to the EGG base model, which is commonly used in the field of reservoir development optimization. Fractures with different distribution patterns were embedded in the model to represent fractured reservoirs, and 10 permeability fields were used to consider permeability distribution uncertainties. The optimization results for the three selected risk metrics showed that the range of decreasing in the mean NPV was from 0.04% to 0.31 %, with the worst scenario final NPV increasing by $1.26×106, the standard deviation of the set decreasing by $2.84×106, and the CVaR at 20% increasing by $3.33×105. Although the range of change in each metric for this case was not significant compared to their original magnitudes, the changes in each optimization curve showed a positive improvement trend. This study introduced a bi-objective robust production optimization algorithm, based on the StoSAG and Lexicographic methods, designed to address production optimization of complex fractured reservoirs considering geological uncertainties. Three different risk metrics were investigated to minimize development risk while optimizing the expected field NPV, which can be critical to minimize field development risks when performing production optimization tasks.
A Multi-Scale Cross-Correlation Based Method Enables Automatic Well Log Depth Matching
Authors: Liang Lin , Shan Tao , Li Ji , Lei Ting 
Published: February 2025

Abstract
Depth matching is a critical element in integrated well log interpretation. However, it remains a challenge for the industry that depth alignment must be done manually or semi-manually. With increased interest in data science leveraging logs from hundreds of wells, there is a strong desire for automating the depth matching process for the benefit of efficiency and avoiding human bias. We developed a solution to automate log depth matching based on a multi-scale cross-correlation method.
The solution adopts a philosophy of matching outstanding features while linearly adjusting other depths, akin to human logic in manual depth shift. It utilizes log-squaring and perceptually important point algorithms to identify outstanding features from the noisy well log. To achieve robust and automatic depth matching, a multi-scale cross-correlation based optimization process is adopted to align the identified outstanding features. A fast pre-shift step eliminates the need for large search windows during the optimization process, which is crucial for efficiency and full automation. This approach accommodates pairs of well logs that have reasonable correlation, either positive or negative.
The developed solution was first applied to match depth in gamma-ray (GR) logs. Gamma-ray logs are widely accepted by the industry for depth synchronization between different logging passes as an indicator of lithological changes. The basic process is to build a depth mapping table from a reference gamma-ray log and a target gamma-ray log, which are acquired from two separate logging passes, using the developed solution. Then, apply the obtained depth mapping table to other well logs in the same logging pass to synchronize all logs and make them ready for the downstream processing. Excellent results have been demonstrated through field gamma-ray logs, for both wireline to wireline and wireline to logging-while-drilling applications. The solution was then applied to match depths for other well log types, including density to sonic slowness, and slowness logs from different sonic modal processing, all demonstrating excellent performance. Benchmarking against previous commercial solutions shows significant improvement without the need for human intervention, proving a fully automated solution for well log depth matching.
To the best of our knowledge, this is one of the first algorithmic solutions in open literature aiming to automate well log depth matching based on non-machine learning methods. This solution combines a two-step shifting strategy, multi-scale cross-correlation optimization, and a feature selection algorithm to form a unique, fully automated solution that addresses the well log depth matching problem, which has been a long-standing challenge in the industry.
Innovative of Foam-Assisted Gas Lift Technology for Resuscitation of High-Salinity and High-GOR Oil Wells
Authors: Tyagi Himanshu 
Published: February 2025

Abstract

Objectives/Scope
Liquid loading is a common problem in mature gas fields; furthermore, it has ability to cease the deliverability of oil wells and has significantly affected ultimate recovery from existing oil fields. This paper outlines a strategy for the successful implementation of a distinctive approach: foam-assisted gas lift technology to resuscitate high-salinity and high-GOR oil wells with noteworthy production uplift in one of the largest offshore oil fields located in middle eastern basin.

Methods, Procedures, Process
This rig-less technique incorporates introduction of solid and liquid foaming agents in conjunction with gas lift which not only overcome the limitation of gas lift systems, but also transformed well performance. Formulation of well selection criteria, individual well sampling and assessment, proper data gathering, data analysis, application methodology and custom-made design of de-liquification program have made it possible to re-activate decades-old wells to enhance production from depleted reservoirs with liquid loading problems.

Results, Observations, Conclusions
A pilot project on five wells of a major operator in the middle east exhibited a significant improvement in well performance with an incremental gain of 3000+ bopd along with savings of 10 mmscfd of injection gas from an oil reservoir which had ceased to flow due to high water cut or unavailability of enough reservoir support. Application of this technology has broken the barrier in evaluation of these wells and provides an effective means of reviving the oil wells with liquid loading issues beyond the capability of standard de-liquification methods. It is a cost-effective technology to unravel the untapped reserves from existing wells.

Novel/Additive Information
This paper considers multiple scenarios that help revive and elevate a potential hydrocarbon source and recommends suitable actions which allow production engineers to analyze performance of reviving oil wells. The paper will also discuss the role of this technology in the overall production enhancement workflow.
With the increased complexity of mature fields, each next step to improve recovery comes with increased cost. Therefore, novel horizons of affordable technology will play a pivotal role to maximize economic recovery and meet rising demand in the current business environment.
Managing Severe Losses and Extreme Flowbacks in Deepwater Exploration Drilling: Insights From A Gulf Of Mexico Wildcat Well Utilizing Riser Mud Cap
Authors: Rahman I. I. Abd , Sofian A. Mohamad , Makri M. Mohd , Amin R. Mohd , Ramli A. 
Published: February 2025

Abstract
Deepwater exploration drilling is consistently regarded as a high-profile operation fraught with a wide array of risks, with one of the primary concerns being the management of narrow margins. The inevitability of losses in drilling narrow margin prospects underscores the necessity for floaters equipped with integrated Managed Pressure Drilling (MPD) systems to navigate through such challenging environments. When a drilling plan allows for a comfortable margin, rig selection may prioritize cost efficiency over the inclusion of MPD equipment. However, unforeseen severe losses necessitate a proactive and creative approach to mitigate operational challenges.
This paper presents the insights gained from drilling a wildcat exploration deepwater well in the Gulf of Mexico, where total losses were encountered in the shallow clastics section, compounded by multiple extreme flowback events and in the absence of an MPD system on the rig. The timely identification of formation flowback or well ballooning is crucial for effective mitigation strategies. This paper outlines a step-by-step operational procedure derived from this experience for future reference. Given the imperative need for data acquisition in this critical section, conventional methods such as setting thixotropic cement plugs were deemed unfeasible, prompting the development of innovative drilling techniques.
In response, the operator adopted a proactive approach by implementing riser mud cap drilling to complete the remaining section. This paper elucidates the methodology and approach employed to determine the viability of mud cap drilling in assisting with section completion. Furthermore, the paper delves into the integrated logistical plan devised to procure the requisite mud volume necessary for section completion.
In addition to the utilization of riser mud cap drilling, the operator prepared an ad-hoc additional casing string to curtail the escalating losses. This paper provides a comprehensive examination of the engineering considerations and fast track decision-making processes that informed the implementation of this additional casing string.
Through a detailed analysis of the challenges encountered and the strategies employed to address them, this paper offers valuable insights and best practices for navigating similar deepwater drilling scenarios. By sharing these experiences and lessons learned, this paper contributes to the ongoing discourse on effective risk management and operational excellence in deepwater exploration drilling endeavors.
Lessons Learned and Best Practices from High-Rate HPHT Well Testing Campaign, Lang Lebah Field, Offshore Malaysia
Authors: Chia B. S. , Hemaprasertsuk J. , Hamdan M. K. , Bandyopadhyay P. , Phasook C. , Shumakov Y. A. , Kumar P. , Arsat M. , Theuveny B. 
Published: February 2025

Abstract
Well-testing for reservoir characterization and production assessment has always been critical, especially in offshore high-pressure, high-temperature (HPHT) environments. A limitation of the technology available for HPHT environments in conjunction with strict safety and environmental constraints elevates the operational challenges over the conventional well-test operations.
Three HPHT exploration and appraisal DST well tests were successfully performed in high H2S and CO2 environments offshore Malaysia. A unique approach was adopted that was based on the combination of new-generation acoustically controlled DST tools designed for the HPHT environment with the innovative application of standard equipment and proven well-testing techniques. This approach minimized the mobilization time and enabled performing well-test operations safely and efficiently while acquiring critical high-quality data within the operational constraints associated with the temperature limits of the blowout preventers (BOPs).
The application of new-generation DST tools, enhancements in the well-test design, and the appropriate equipment selection enabled us to successfully perform three high-rate gas well tests on the Lang Lebah high pressure and high temperature (HPHT) field. This paper provides practical recommendations and presents several examples highlighting the results and lessons learned from successfully performed high-rate well-test operations.
Analysis of the operations indicated the main factors contributing to the success of the three well-test operations were the following:
Well-test design using transient multiphase wellbore simulator verified that well-test operations would be performed within the temperature limits of downhole equipment, BOP, and surface equipment Application of new generation acoustic telemetry system for surface readout of bottom hole data and to control the DST tools Custom-built surface well-test package, including the application of remotely controlled adjustable choke to enhance the safety of operations and increase efficiency Application of standalone safety ball valves to safely isolate the formation and reduce fluid losses Real-time collaborative environment during the well-test execution phase with full real-time data integration, superior data visualization, and data processing capabilities, which enabled real-time quick-look well-test interpretation and well-test optimization with a reduction of rig time and CO2 emissions
The unique combination of technologies and the practical workflow for test design led to the success of three high gas flow rate DST well tests in complex HPHT offshore environments in Malaysia. The results and lessons learned from these operations and other operations performed around the globe in similar conditions can be applied to the wider industry.
Instrumento de triagem em cirurgias de urgência
Authors: Torezan Stéfany Vareschi , Oliveira Karine Silva de , Fontes Carlos Edmundo Rodrigues , Fagundes Marco Aurélio Valadão , Cavazana William Cesar 
Published: February 2025

Objetivo: Investigar se o uso de um instrumento de triagem específico para cirurgias urgentes ajuda a priorizar pacientes e diminuir o tempo de espera em emergências. Métodos: Trata-se de uma revisão integrativa da literatura, com publicações entre 2013 a 2023, nos idiomas português, inglês e espanhol, com texto completo disponível. Utilizou-se como questão norteadora: Qual é a eficácia do desenvolvimento e validação de um instrumento de triagem para cirurgias de urgência na identificação precisa dos pacientes com necessidade de priorização do atendimento e redução do tempo de espera na emergência?A pesquisa bibliográfica foi realizada em setembro de 2023, sendo realizada buscas nas seguintes bases de dados: Literatura Latino-Americana e do Caribe em Ciências da Saúde (LILACS), Medline e National Library of Medicine (PubMed), por meio dos Descritores em Ciências da Saúde (DeCS): Cirurgia, urgência, triagem, classificação de risco, e uso do operador booleano “AND”. Resultados: 10 artigos que obedeceram aos critérios de inclusão e exclusão, evidenciaram a importância de um instrumento para priorização do atendimento e redução do tempo de espera na emergência. Considerações finais: Sistemas de triagem padronizados são eficazes entre os profissionais de saúde para aprimorar a assistência ao paciente que necessita de uma cirurgia de urgência.
ПОВЫШЕНИЕ ИНВЕСТИЦИОННОЙ ПРИВЛЕКАТЕЛЬНОСТИ ЛЕСНОГО СЕКТОРА ЭКОНОМИКИ ДЛЯ ОБЕСПЕЧЕНИЯ ЕГО ЭКОНОМИЧЕСКОЙ БЕЗОПАСНОСТИ
Authors: Воротилов А.Ю. 
Published: February 2025

Раскрыто содержание инвестиционной привлекательности лесного сектора для обеспечения его экономической безопасности на основе анализа теоретико-методических положений по трудам учёных. Исследованы основные проблемы развития лесного сектора, факторы угроз экономической безопасности, важнейшим из которых является суженное воспроизводство лесного потенциала (капитала) вследствие низкой инвестиционной привлекательности воспроизводства лесов. Предложен алгоритм экономической оценки инвестиционной привлекательности лесного сектора экономики как механизма обеспечения его экономической безопасности. Проанализированы прикладные аспекты инвестиционной деятельности в лесном секторе Республики Марий Эл.
Introduction. The diversified forest sector of Russian economy includes state, market, and corporate mechanisms and methods of management and regulation. The diverse nature of their interests creates challenges and threats to the sustainable development of forest sector, the main of which is the lack of investment due to low investment attractiveness.The goal of the research is to develop methodic and applied provisions of the mechanism of interrelation of investment attractiveness and economic security of forest sector on the basis of reproductive approach.Results. The categories economic security and investment attractiveness are dialectically interdependent. The research results show that the major problems of forest sector of the economy (reduction of forest potential for wood harvesting in the long-exploited areas under extensive models of forest exploitation, underdevelopment of forest and woodworking infrastructures in the heavily forested areas, and high deterioration of basic capital) threaten the economic security of the state and subjects of forest relations. Reduced investment in forest sector due to its low investment attractiveness is the most important source of threats to the economic security of this sector. The type of expanded reproduction of forest sector is the most important condition for ensuring economic security in the national security system through the increased investment. In a market economy, strategic forest management should aim to increase the forest capital through the multi-purpose rational, continuous, sustainable use. Conclusion. Forest sector investment attractiveness is the most important condition for improving the ecological and economic efficiency, safety and social responsibility of forest relations. The methodology for assessing the level of economic security of forest sector of the economy should include the factors (conditions) of investment attractiveness in the system of indicators.
ЛОГИКО-СТРУКТУРНАЯ МОДЕЛЬ СИСТЕМЫ ФАКТОРОВ ФОРМИРОВАНИЯ КОНКУРЕНТОСПОСОБНОСТИ ПРОДУКЦИИ
Authors: Емадаков Р.Ю. 
Published: February 2025

Уточнено содержание различных групп факторов, которые могут оказывать влияние на формирование конкурентоспособности продукции. Проведена авторская структуризация различных групп факторов формирования конкурентоспособности продукции в рамках общей логико-структурной модели. Предложен авторский вариант установления взаимной связанности и взаимной обусловленности между различными группами факторов формирования конкурентоспособности продукции в рамках общей логико-структурной модели.
Introduction. The deep research of various elements of the elaborated by the author general methodology of comprehensive analysis of competitive ability building of an enterprise (institution) shows the need in studying the structural-functional relations in the earlier offered systems of factors for building the competitive ability of products of an enterprise (institution). The goal of the research is to build a logical-structural model of the system of factors for building the competitive ability of products. The tasks of the research are: 1) to specify the content of various groups of factors that can influence the building of competitive ability of products; 2) to structure various factors for building the competitive ability of products; 3) to establish the mutual connectivity and dependence between various groups of factors for building the competitive ability of products within the general logical-structural model. Methodology and research methods. The research is implemented using the systems-dialectic methodology. Analysis and synthesis, hypothetic-deductive method, abstraction, and formalisation are the major research techniques used in the study. Based on the techniques, author`s suppositions and suggestions are made. Results interpretation and their analysis. The theory of competitive ability of products is a complex and abstract gnosiological system. The study of such systems shall integrate and reflect the basic systems concept as integrality, structural properties, interconnection of the system and outside environment, hierarchy, plurality of description of systems. Construction and description of the offered logical-structural model of the system of factors for building the competitive ability of products take these concepts into account. At that, the concept of plurality of description of systems demonstrates the wide range of opportunities when choosing various aspects of complex systems study. Thus, the offered logical-structural model allows for widening of the groups of factors and the increased insight into their nature and dependence between them. Conclusion. Practical importance of the considered theoretical models building is the development of a systematic understanding which will take into account and explain a variety of certain market objects and situations.
The Impact of Accounting Information on Strategic Decision Making: Evidence from Cooperative in Kirtipur Municipality, Kathmandu, Nepal
Authors: Mahataman Tribhuvan Kumar 
Published: February 2025

Businesses and cooperatives both sectors utilize accounting information for strategic decision-making. Accounting information makes it easy for managers for managerial and operational decision making in cooperatives. The article examines how accounting information affects strategic decision-making in Kirtipur cooperatives. Accounting information plays an important role in sustainable and wise decision-making for cooperatives. The study attempts to provide insightful information on how accounting information influences strategic decisions. Rational strategic decisions can save cooperatives from the present financial and managerial crisis. This research is quantitative and follows a deductive approach. The data is collected field survey based on convenience sampling. SPSS was used to process the raw data that had been gathered. The data has been analyzed and the resultant hypothesis validated using regression analysis, correlation, and descriptive statistics. The data was collected from 60 usable questionnaires returned from respondents. The total population of the study is 96. The first-hand data was gathered using a standardized questionnaire with 5-point Likert scale items. The study indicates that accounting information has played a critical role in strategic decision-making in Kirtipur cooperatives. Because the p-value is 0.000, which is less than 1 percent level of significance. So, the ANOVA table indicates that the model is fitted. There is a significant impact of accounting information on strategic decision-making. Therefore, cooperatives in Nepal can improve managerial and operational decision-making.