bluuebunny/crossref_metadata_2025_split huggingface dataset:
Breaking New Ground: Novel Lithology Estimation Machine Learning Model for Pulsed Neutron Logging Technology
Authors: Turkey S. , Elias M. , Gamal H. , Ikande P. 
Published: February 2024

Abstract
The rapid advancement of machine learning techniques has opened up new possibilities for improving lithology estimation for outstanding reservoir characterization. This study introduces a groundbreaking machine learning model specifically developed for lithology estimation utilizing measurement data from Multi-Detector Pulsed Neutron (MDPN) logging.
Traditional methods of lithology estimation have relied on limited data inputs, and non-automated interpretation leading to significant uncertainties and inconsistencies. On the other side, the proposed machine learning model is considered as an automated approach that is trained over well-log big data combined with high-computation advanced artificial neural networks algorithm. The model undergoes extensive data preprocessing and analytics, feature engineering, training and optimizing the model architecture/parameters, and model evaluation workflow.
By leveraging the power of artificial intelligence, the proposed model is qualified to learn/capture the data pattern interrelationships between pulsed neutron logging measurements and lithology variations that enhance the accuracy and efficiency of lithology estimation in diverse geological formations. The developed model was evaluated with statistical metrics to assess the prediction accuracy for the model outputs versus log data measurements. The evaluation of the model's performance demonstrates that superior artificial neural networks technique has outstanding capability to accurately estimate lithology with an accuracy higher than 97% with low loss error evaluation metrics. The successful application of the model in a case study conducted in a Middle East region further validates its effectiveness and robustness.
The integration of this innovative machine learning model with pulsed neutron logging technology offers a transformative solution to automate lithology estimation workflows in the oil and gas industry. This research paves the way for enhanced lithology characterization, leading to improved decision-making in reservoir evaluation and exploration activities.
Real-Time Stick-Slip Mitigation Using Combined Machine Learning and Physics Based Techniques
Authors: Yahia Hana , Romary Thomas , Gerbaud Laurent , Menand Stephane , Mahjoub Mohamed 
Published: February 2024

AbstractDownhole vibrations can lead to significant drilling problems in unconventional wells, such as frequent tool failures that increase drilling costs. Detecting these vibrations during drilling is crucial for enhancing drilling practices. One of the most destructive types of downhole vibrations is torsional stick-slip, characterized by fluctuations in bit rotation speed between zero and several times the surface rotation speed. Typically, surface data is used for real-time diagnosis of this drilling dysfunction. In recent years, Artificial Intelligence (AI)-based detection algorithms have increasingly been proposed in the literature. However, a key drawback of AI methods is their limited applicability to wells in the same field with similar geological formations and bottom-hole assemblies (BHAs). This paper aims to address this limitation and explore solutions for generalizing these approaches. It does so by employing transfer learning techniques and the inclusion of physics-based features. Using historical offset well data, this paper presents trained and tested machine learning models capable of predicting the stick-slip severity index (SSI) using sequences of surface measurements and physical features. This model can be deployed in real-time on drilling rigs to provide diagnostics and recommendations. In addition to that, the paper proposes a real-time auto-updated stability heatmaps, using the trained regression model and surface measurements while drilling, to help the drillers choose the optimal drilling parameters to avoid stick-slip vibrations.
Natural Gas Sweetening Using Ternary Blend of MEA, DEA and PZ: Energy, Exergy, CO2 Emission Analysis, Sensitivity Analysis and 2 Level Full Factorial Design
Authors: Sornumpol R. , Maneeintr K. , Prathana Nimmanterdwong P. 
Published: February 2024

Abstract
This study pioneers an advanced exergy analysis approach to evaluate the energy and exergy dynamics of natural gas sweetening. Focusing on a ternary blend of Mono Ethanol Amine (MEA), Di Ethanol Amine (DEA), and Piperazine (PZ), the research aims to enhance understanding of process exergy. The investigation encompasses energy, exergy, sensitivity, and a 2-level full factorial design, aiming to refine natural gas while reducing environmental impact. The study employs Aspen HYSYS V10 to model the Acid Gas Removal Unit (AGRU), with specified operational parameters. The absorption and regeneration columns, heat exchanger, cooler, pump, and valves are key components analysis. Sensitivity analysis highlights the crucial influence of parameters such as reflux ratio, circulation flow rate, lean amine molar flowrate, lean amine temperature, and lean amine pressure inlet. Findings underscore the significance of optimizing these factors for efficient sweetening. Notably, increasing the reflux ratio enhances CO2 capture efficiency, albeit with increased energy regeneration requirements. The type and concentration of solvent used significantly influences regeneration energy demand. The lean amine temperature and pressure also play crucial roles in the efficiency of the sweetening process. ANOVA results confirm the statistical significance of circulation flow rate and lean amine pressure inlet, underscoring their impact on CO2 capture efficiency. The study establishes the optimal conditions for achieving high CO2 capture efficiency with minimal regeneration energy demand. Exergy analysis reveals that the regenerator unit accounts for the highest destruction rate, followed by the heat exchanger and cooler. This analysis provides valuable insights for optimizing the amine-based CO2 absorption-desorption capture processes. In summary, this research offers a comprehensive exploration of advanced exergy analysis for natural gas sweetening using a ternary amine blend. The findings provide valuable insights for refining natural gas processing with reduced environmental impact, advancing sustainable energy technologies, and promoting more responsible fossil fuel utilization.
Natural Fracture Characterization Through Digital Outcrop Model in Southwestern Saudi Arabia Geothermal Field
Authors: Arrofi Daffa , Abu-Mahfouz Israa S. , Rafiq Jawad , Cline Jarvis R. , Al-Jafari Mutaz , Al-Ghamdi Mohamed 
Published: February 2024

Geothermal energy is the heat energy stored in the subsurface of the Earth due to the decay of radioactive elements within the mantle and the crust (Schubert et al., 1980). This energy is continuously produced, making it a sustainable and renewable energy source (Owusu and Asumadu-Sarkodie, 2016). One of the key advantages of geothermal energy is its capacity to provide baseload power that can be run constantly to fulfill the energy demands of any society, making it a dependable and persistent source of energy. Unlike other renewable energy sources such as solar and wind, geothermal energy, it is not affected by weather or daylight and can supply a consistent source of electricity day and night.
Saudi Arabia possesses significant geothermal resources along of western boundary for both volcanic and non-volcanic geothermal systems (Chandrasekharam et al., 2014; Lashin et al., 2014; Al-Douri et al.,2019; Abu-Mahfouz et al., 2023). One of the potential geothermal areas is in Jizan, Southwestern Saudi Arabia (Hussein et al., 2013; Chandrasekharam et al., 2016; Arrofi and Abu-Mahfouz, 2023). Despite the fact that Jizan has a medium-high enthalpy system, it is largely underutilized. One of the most prevalent challenges encountered during exploitation is a low permeability reservoir to allow fluid circulation. However, it can be addressed by undertaking a detailed study of characterizing natural fractures both in the surface and subsurface.
Natural fractures might enhance fluid circulation and permeability, making geothermal extraction a more viable option (Arrofi et al., 2022; Viswanathan et al., 2022; Abu-Mahfouz et al., 2023). It is crucial to investigate the distribution, orientation, and connectivity of fractures in geothermal systems. In the Al-Ardah geothermal field, located in Jizan, hydrothermal fluid is believed to flow from the eastern region, following the dip direction of the regional faults, and discharge on the western side (Arrofi et al., 2023). The reservoir area is indicated to be in the eastern region of Al-Ardah within the granitic rock (Fig. 1). Additionally, the granitic rock in the Al-Ardah area had undergone significant alteration due to intense interaction with the thermal water (Lashin and Al Arifi, 2014). It also suggests that the reservoir is located in the eastern part of the hot springs area. This study aims to characterize fractures and investigate fluid flow in the eastern part of Al-Ardah, Jizan, using an outcrop analogue (see the study location in Fig. 1).
NGHIÊN CỨU MỞ RỘNG PHẢN ỨNG TẠO SẢN PHẨM ĐỐI QUANG CYCLOPROPANE CỦA DIAZO ACETOXY ACETONE VỚI CÁC DẪN XUẤT STYRENE, CỦA CÁC DẪN XUẤT DIAZO ACETOXY ACETONE VỚI STYRENE ĐƯỢC XÚC TÁC BỞI PHỨC CHẤT BẤT ĐỐI p-NITRO- Ru(II)-DIPHENYL-PHEOX
Authors: Lê Thị Loan Chi , Iwasa Seiji 
Published: February 2024

Trong công bố về “Tối ưu hoá phản ứng tạo sản phẩm đối quang cyclopropan của Diazo acetoncy acetone và styrene được xúc tác bởi phức chất bất đối xứng p-nitro-Ru(II)-diphenyl-Pheox” chúng tôi đã đưa ra quy trình tổng hợp sản phẩm đối quang cyclopropan của diazo acetoxy acetone và styrene được xúc tác bởi phức bất đối p-nitro-Ru-­dialkyl-pheox. Quy trình này cũng đã được tối ưu hoá ở các điều kiện nhiệt độ, dung môi thích hợp và đạt được với hiệu suất cao, độ chọn lọc đồng phân lập thể >99:1, và độ chọn lọc đối quang đạt tới 95%. Nghiên cứu cũng có những minh chứng đầy đủ trong các cơ chế hình thành sản phẩm đối quang cyclopropan và ưu tiên tạo sản phẩm Trans. Để tiếp tục khẳng định thêm cơ chế đã công bố cũng như mở rộng thêm các chất nền có thể tham gia vào phản ứng trên, tạo ra được các sản phẩm đối quang cyclopropan có độ chọn lọc cao. Chúng tôi tiếp tục mở rộng nghiên cứu phản ứng của diazo acetoncy acetone và các dẫn xuất styrene, phản ứng của các dẫn xuất diazo acetoncy acetone với styrene dưới xúc tác của p-nitro-Ru(II)-diphenyl-Pheox trong các điều kiện tối ưu. Các sản phẩm thu được có tính chọn lọc lập thể cao (lên tới 99:1), với hiệu suất tốt(lên tới 92%), độ chọn lọc đối quang gần như tuyệt đối (lên tới 98% ee). Nghiên cứu lần đầu tiên được công bố trên thế giời này góp phần vào sự sẵn có của các sản phẩm đối quang ketone cyclopropyl đang còn khan hiếm trong nhiều nghiên cứu, nhưng được tìm thấy nhiều trong các sản phẩm tự nhiên và có nhiều ứng dụng trong dược phẩm.
NGHIÊN CỨU CÁC TÍNH CHẤT ĐIỆN TỬ VÀ TRUYỀN DẪN CỦA VẬT LIỆU HAI CHIỀU ĐƠN LỚP JANUS TiSiSeP2 BẰNG LÝ THUYẾT PHIẾM HÀM MẬT ĐỘ
Authors: Võ Thị Tuyết Vi , Nguyễn Quang Cường , Nguyễn Ngọc Hiếu 
Published: February 2024

Trong bài báo này, các tính chất điện tử và truyền dẫn của vật liệu hai chiều đơn lớp Janus TiSiSeP2 được nghiên cứu bằng pháp lý thuyết phiếm hàm mật độ (DFT). Các tính toán cho thấy đơn lớn TiSiSeP2 có cấu trúc bền vững và có khả năng tổng hợp được bằng thực nghiệm. Ở trạng thái cơ bản, đơn lớp Janus TiSiSeP2 là bán dẫn với vùng cấm xiên có bề rộng là 1,23 eV khi được tính bằng phiếm hàm lai HSE06. Các đặc trưng điện tử của TiSiSeP2 phụ thuộc rất lớn vào biến dạng, đặc biệt là độ rộng vùng cấm. Bên cạnh đó, các đặc trưng truyền dẫn của TiSiSeP2 cũng đã được tính toán một cách hệ thống trong bài báo này. Các kết quả nghiên cứu góp phần hiểu rõ hơn về các tính chất vật lý của vật liệu hai chiều đơn lớp Janus TiSiSeP2.
Роль інклюзії у досягненні Національних цілей сталого розвитку
Authors: Сергієнко Ірина Григорівна , Ксендзук Валентина Віталіївна 
Published: February 2024

Стаття зосереджується на дослідженні ролі і значущості інклюзії в контексті сталого розвитку. Автор підкреслює, що інклюзія слугує інструментом, який гарантує рівні можливості для участі всіх громадян у соціальних, економічних та політичних процесах, що є вирішальним для досягнення сталого розвитку. Згідно з цим, інклюзія забезпечує рівні можливості для всіх, що є ключовою передумовою сталого розвитку. Вона допомагає знизити соціальну нерівність і розподіляє владу та ресурси більш справедливо. Важливо зазначити, що інклюзія сприяє сталому розвитку, спонукаючи до більш гармонійного співіснування людей, сприяючи соціальній справедливості та забезпечуючи, щоб всі громадяни мали можливість зробити внесок у розвиток суспільства. Окреслено ключові принципи формування Стратегії сталого розвитку України до 2030 року та їх особливості. В статті проведено аналіз втілення інклюзії в Цілях сталого розвитку Стратегії сталого розвитку України, а також наведено аналіз взаємозвʼязку Національних та Глобальних цілей розвитку ООН. У дослідженні прослідковується важливість інклюзії як фактора у досягненні Національних цілей сталого розвитку. Розглянуто кожну операційну ціль Стратегічних цілей сталого розвитку України в контексті інклюзії, де визначається вплив та роль інклюзії в їх досягненні. Підкреслюючи важливість інклюзивних практик у стратегіях сталого розвитку, як на внутрішньому, так і на міжнародному рівні, суспільства можуть об’єднати свої зусилля для забезпечення тривалого процвітання, «не залишаючи нікого позаду». Такий підхід не тільки підвищує загальний добробут суспільства, але й відкриває дорогу для інноваційних рішень, які відображають різні перспективи. Згідно з аналізом, сформовано висновки та надано рекомендації щодо перспектив подальших досліджень сталого розвитку та інклюзії.
Analysis of the Heating of Steel Structures During Fire Load
Authors: Major Zoltán , Bodnár László , Merczel Dániel Balázs , Szép János , Lublóy Éva 
Published: February 2024

During the preparation of our article, we present in detail the changes in the thermotechnical parameters of carbon steel and corrosion resistance during fire. After that, we present in detail the calculation of the heating of steel structures without fire protection. We feel this is important because it is not possible to provide stainless steel with fire protection for aesthetic reasons, and it is also not typical for thin-walled galvanized structures. We also present the calculation of structures with fire protection in detail and present the background for editing commonly used nomograms. Such a nomogram is also available in the literature, but it can be considered true with significant simplifications. During the practical planning, the applied fire protection regulations were highly standardized. Realizing that there is no design nomogram for these types of solutions, we created and published them in our article. The advantage of these is that the applicable design can also be found as the optimum of the designs considered to be potentially good. With this solution, we can save time during planning, and we can also get a more cost-effective solution for the fire protection cover. The advantage of the presented method is that, if required, the editing of the nomograms can be extended to other designs by knowing the material characteristics and the layer thickness. Another option of the presented method is that the solution can also be applied to special fire loads, and nomograms can be produced for them as well (e.g., hydrocarbon fires). Doi: 10.28991/ESJ-2024-08-01-01 Full Text: PDF
Exploring Individuals’ Experiences with Security Attacks: A Text Mining and Qualitative Study
Authors: Abumalloh Rabab Ali , Alrahhal Mahmud , El-Haggar Nahla , Alsumayt Albandari , Alfawaer Zeyad M. , Aljameel Sumayh S. 
Published: February 2024

Cyber-attacks have become increasingly prevalent with the widespread integration of technology into various aspects of our lives. The surge in social media platform usage has prompted users to share their firsthand experiences with cyber-attacks. Despite this, previous literature has not extensively investigated individuals' experiences with these attacks. This study aims to comprehensively explore and analyze the content shared by cyber-attack victims in Saudi Arabia, encompassing text, video, and audio formats. The primary objective is to investigate the factors influencing victims' perceptions of the security risks associated with these attacks. Following data collection, preparation, and cleaning, Latent Dirichlet Allocation (LDA) is employed for topic modeling, shedding light on potential factors impacting victims. Sentiment analysis is then utilized to examine the nuanced negative and positive perceptions of individuals. NVivo is deployed for data inspection, facilitating the presentation of insightful inferences. Hierarchical clustering is implemented to explore distinct clusters within the textual dataset. The study's results underscore the critical importance of spreading awareness among individuals regarding the various tactics employed by cyber attackers. Doi: 10.28991/ESJ-2024-08-01-010 Full Text: PDF
The Decision-Support Modeling with Fuzzy Analytic Hierarchy Process (AHP) to Determine the Career Path for Bachelor Informatics Students
Authors: Wijaya Ezra Karuna , Gaol Ford Lumban , Matsuo Tokuro 
Published: February 2024

The pursuit of success in one's chosen profession is a universal aspiration that requires individuals to engage in competition, not just domestically but also internationally, particularly in today's era of globalization. The rapid advancement of technology presents both opportunities and challenges, necessitating proactive management to achieve professional success. In the field of Informatics Engineering, there is a wide range of professional pathways, each offering unique opportunities and requiring distinct skill sets. For university graduates, it is crucial to have a comprehensive understanding of the specific requirements and demands associated with various job paths to make informed decisions. This knowledge enables them to select a professional route that aligns with their individual aspirations and goals, thereby avoiding potential discontent in their chosen career. Lack of knowledge or awareness during the decision-making process can negatively impact productivity and overall performance. There is a growing demand among university graduates, especially at the undergraduate level, for career-related information. This has led to heightened competition among graduates in terms of skills, knowledge, and availability. To effectively navigate this competitive landscape and engage in meaningful competition with fellow graduates, individuals must possess a comprehensive understanding of their desired career trajectory. To address these challenges, the Decision Support Model (MPK) can be utilized, employing the Fuzzy Analytical Hierarchy Process methodology. This approach considers four primary criteria—Financial Compensation, Non-Financial Compensation, Soft Skills, and Hard Skills—each with several sub-criteria. These criteria are evaluated based on the perspectives of certified graduates of Informatics Engineering and industry specialists. The study successfully identified the primary criteria influencing career decisions, such as job conditions, incentives, and prospects. It also highlighted the most favorable career path, with the role of a Data Analyst being identified as particularly promising. This career path involves roles within the field of Informatics Engineering that focus on processing data according to specific requirements, highlighting the importance of understanding the evolving landscape of technology and its impact on professional opportunities. Doi: 10.28991/ESJ-2024-08-01-011 Full Text: PDF
Bridging the Gap: Social Networks and Professional Development in the Eyes of Prospective Science Teachers
Authors: Alarabi Khaleel , Al Abidi Suzan , Pagani Linda S. , Tairab Hassan , Alhosani Younis , Rabbani Lutfieh , Al Mansoori Maitha 
Published: February 2024

Virtual social network platforms have rapidly become settings for cultivating various types of bonding, bridging, and building social capital. This promotes professional and personal relationships and has implications for our psychological wellness. Our qualitative study, which has taken place in the United Arab Emirates (UAE) and Oman, explored the perspectives of science teachers in training regarding the utilization of social networks for professional development (PD). We conducted 26 semi-structured interviews across both countries. Our results unveiled nuanced insights into the influence of social networks on the professional development of prospective science teachers, the challenges they face while using these means for networking, and how cultural norms and institutional factors impact learning, collaboration, and adoption of such virtual social systems. The findings suggest that social networks can serve as valuable tools for the professional development of prospective science teachers. Notably, there was a subtle divergence between the two groups. The UAE participants have emphasized global perspectives and valued insights into worldwide educational trends, whereas the Omani participants have appreciated the global perspective and prioritized local connections. Additionally, remarkable differences in technology access and infrastructure challenges between UAE and Oman teachers in training highlight the need for more equitable professional development opportunities. Emirati and Omani participants differ in their access to international educational trends and technology because of economic disparities. This could be translated into more resources for education and technological infrastructure, as the geographical location of the UAE as a global hub makes it easier to access global networks and trends. The implications of these findings point to the critical need for the effective use of social networks in the professional development of science teachers. Doi: 10.28991/ESJ-2024-08-01-014 Full Text: PDF
Visitor Experience Map and NFC-Based Scoring for Data-Driven Exhibition Enhancement
Authors: Abdul Razak Siti Fatimah , Hee Jeslyn Pik Syuen , Ahmad Rashidah , Yogarayan Sumendra , Kamis Noor Hisham , Sayeed Md Shohel 
Published: February 2024

In the current exhibition industry, it is crucial for organizers and exhibitors to comprehend and enhance visitor experiences. The objective of this study is to improve the exhibition setting by utilizing Near Field Communication (NFC) technology to capture, monitor, and analyze visitor behavior, engagement, and satisfaction. The main approach entails combining NFC technology with the Visitor Experience Map to fully understand the complexities of the visitor experience. NFC-enabled smartphones facilitate seamless interaction with the system, as users simply need to bring their smartphones close to NFC tags. This enables data collection and triggers the activation of a visitor scoring form for ratings and feedback. The study's findings indicate a mean system usability score of 81.4, which demonstrates successful implementation and great usability. This confirms the effective and easy-to-use nature of the strategy, guaranteeing that visitors can effortlessly provide their ratings and feedback. The originality and enhancement reside in the successful integration of NFC technology with the Visitor Experience Map, providing a strong and user-focused approach for organizers and exhibitors to enhance the exhibition experience. This study creates a favorable situation for both visitors and stakeholders, demonstrating the potential of technological advancements to greatly influence the exhibition industry. Doi: 10.28991/ESJ-2024-08-01-015 Full Text: PDF