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12th North American Conference on Multiphase Production technology, MPNA 2024

作者： Kumar, P. Sanderse, B. Esquivel, P.I. Rosen Henkes, R.A.W.M. Delft University of Technology Netherlands Netherlands Shell Projects & Technology Netherlands Delft University of Technology Shell Projects & Technology Netherlands

The energy industry has decades of experience with modelling the multiphase flow of gas, oil, and water through wells and pipelines. This has led to state-of-the art design tools like OLGA and LedaFlow. Currently, the industry is working on upgrading the multiphase flow tools, to make them reliable for the design of CO2 transport. A particular challenge is modeling CO2 transport under two-phase flow conditions, which occurs during transient operations and even during steady-state operation for the case of injection into depleted gas reservoirs. This paper presents an accurate numerical method to solve the Homogeneous Equilibrium Model for single component CO2 transport under single-phase and two-phase flow conditions. The model performance is demonstrated through several test cases featuring fast transients. The same test cases are also simulated with OLGA, and a few of them also with LedaFlow and WANDA. The model and the test cases can be used as a basis for further developing, testing, and optimizing the numerical methods used to model CO2 transport. Our study shows that state-of-the art simulation models can provide numerically reliable solutions for fast transients with two-phase CO2 flow in pipes. © 2024 12th North American Conference on Multiphase Production technology, MPNA 2024. All rights reserved.

关键词： Carbon dioxide

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Klabin-ABB partnership

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ABB Review 2023年第4期 200-205页

作者： Razzolini, Francisco Industrial Technology Innovation Sustainability and Projects Sao Paolo Brazil

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Knowledge Augmented Intelligence Using Large Language Models for Advanced Data Analytics

Knowledge Augmented Intelligence Using Large Language Models...

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2024 SPE Eastern Regional Meeting, ERM 2024

作者： Seow, Ming-Jung Qian, Leren ExxonMobil Global Projects Company ExxonMobil Technology and Engineering Company

ISBN: (纸本)9781959025504

Large language model (LLM) holds the potential to facilitate advanced data analysis within the realm of Oil and Gas (O&G) operations by delivering cutting-edge performance in Natural Language Processing (NLP) tasks such as data mining in text. In this paper, we propose a novel data-driven Artificial Intelligence Augmented Intelligence strategy with LLMs to facilitate the exploration of topics for causal machine learning to understand choices under considerations. State-of-the-art LLMs are finetuned, evaluated, benchmarked, and put into practical use to understand and monitor evolving narratives and perspectives over time for trends and quantitative analytics. Experiments show that model performance is optimized through supervised fine-tuning based on domain specific data. Methods for evaluating the fine-tuning quality and assessing semantic relevance are introduced. Fine-tuned LLMs categorize topics in the target documents, while machine learning technics normalize guideline documents to establish a baseline for benchmarking. LLMs are efficient in processing vast volumes of industry-specific data and extracting valuable insights. In the O&G industry, LLMs have the potential to improve human intelligence via Knowledge Augment Intelligence through qualitative-to-quantitative analytics. ©2024, Society of Petroleum Engineers.

关键词： Semantics

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Learnings from the Standardization of Quality Procurement Specifications

Learnings from the Standardization of Quality Procurement Sp...

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2023 Offshore technology Conference, OTC 2023

作者： Reed, Michele Harris, David Antony Shell/Projects Technology International Association of Oil Gas Producers

ISBN: (纸本)9781613999745

Operators and Engineering, Procurement and Construction contractors (EPCs) have traditionally had their own quality requirements for the same products offered by the same manufacturers causing increased complexity, delivery and costs to each purchaser. Through IOGP JIP33 (International Oil and Gas Producers, Joint Industry Programme), industry-level standardized product requirements are being implemented to improve capital efficiency through industry-wide standardization. This paper discusses the learnings and challenges of deploying the standardization of specifically the Quality Requirements Specification (QRS) through the various operators who participate in IOGP and how this impacts digitization of quality requirements. JIP33 standardized procurement specifications are developed by product Subject Matter Experts and contain standardized Technical Requirement Specifications (TRS), Quality Requirements, Information Requirements and Procurement Data Sheet. The Quality Requirements Specification (QRS) provides standardized quality interventions and defines the purchaser's involvement based on the purchaser's criticality rating. All JIP33 specifications are free to use by any organization. With over 50 product and support specifications published and with 5 years of implementation, the JIP33 Quality Network now provides implementation guides and training materials to share learnings and help companies implement the QRS. In March 2022, the JIP33 Sponsoring companies conducted a survey which found that 43% of published quality specifications were implemented even though the technical specifications were over 60% implemented. This led to further review to determine the challenges of implementing standardized quality requirements for products. The results indicated a few common challenges including: • Differences in procurement processes and responsible parties (procurement vs engineering) across the industry. • Lack of understanding on how the QRS impacts the Inspection

关键词： Specifications

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Particle swarm optimization technique-based prediction of peak ground acceleration of Iraq's tectonic regions

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Journal of King Saud University - Engineering Sciences 2023年第7期35卷 463-473页

作者： Hason, Mahir M. Hanoon, Ammar N. Abdulhameed, Ali A. Disaster Information Management Center Ministry of Science and Technology Baghdad10001 Iraq Department of Reconstruction and Projects University of Baghdad Baghdad10001 Iraq

Peak ground acceleration (PGA) is one of the critical factors that affect the determination of earthquake intensity. PGA is generally utilized to describe ground motion in a particular zone and is able to efficiently predict the parameters of site ground motion for the design of engineering structures. Therefore, novel models are developed to forecast PGA in the case of the Iraqi database, which utilizes the particle swarm optimization (PSO) approach. A data set of 187 historical ground-motion recordings in Iraq's tectonic regions was used to build the explicit proposed models. The proposed PGA models relate to different seismic parameters, including the magnitude of the earthquake (Mw), average shear-wave velocity (VS30), focal depth (FD), and nearest epicenter distance (REPi) to a seismic station. The derived PGA models are remarkably simple and straightforward and can be used reliably for pre-design purposes. The proposed PGA models (i.e., models I and II) obtained via the explicit formula produced using the PSO method are highly correlated to the actual PGA records owing to low coefficients of variation (CoV) of approximately 2.12% and 2.06%, and mean values (i.e., close to 1.0) of approximately 1.005 and 1.004. Lastly, high-frequency, low absolute relative error (ARE), which is below 5%, is recorded for the proposed models, thereby showing an acceptable error distribution. © 2021 The Authors

关键词： Shear waves

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TRANSIENT CONTROL AND PROTOTYPE VERIFICATION OF HIGH CAPACITY IGCT-DCT WITH QUASI-ZERO SWITCHING LOSS 20

TRANSIENT CONTROL AND PROTOTYPE VERIFICATION OF HIGH CAPACIT...

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20th International Conference on AC and DC Power Transmission 2024, ACDC 2024

作者： Ma, Yiqing Zhao, Biao Cui, Bin Tang, Xueteng Dong, Liang Zhang, Long Huang, Zhisong Yang, Weihong Cheng, Chuanhui Department of Electrical Engineering Tsinghua University Beijing China Science and Technology Projects of China Southern Power Grid Guangzhou China

ISBN: (纸本)9781837242672

In this paper, DC transformer based on IGCT and lossless buffer capacitor (IGCT-DCT) and transient control for IGCT-DCT;are proposed. In IGCT-DCT, the loss of zero voltage switching (ZVS)under light load or no load is solved through soft converter modulation (SCM) based on minimum backflow power injection, and the buffer capacitor can greatly reduce the turned-off loss of IGCT. As a result, the switching loss of IGCT is approximately zero and IGCT-DCT can achieve greater capacity. However, when the power step is performed under SCM, a large bias current will be generated, which will affect the ZVS of IGCT, result in the direct discharge of lossless buffer capacitors through IGCT. Therefore, the transient control for SCM also needs to satisfy the ZVS condition. In order to solve the above problems, by analyzing the current characteristics of SCM, this paper proposes a transient control based on prediction, which can realize power step and power reversal without bias current and does not affect the ZVS of IGCT. Finally, a 1.5kV 3MW prototype is used to verify the effectiveness of the proposed theory. © The Institution of Engineering & technology 2024.

关键词： Capacitor bank

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A Detailed Case Study Report on a Section of Four-Lane National Highway Project of Bengaluru-Mangaluru 1

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International Conference on Sustainable Infrastructure: Innovation, Opportunities and Challenges, SIIOC 2023

作者： Srinivas, Marella Sinha, Chaitanya Akshay, Kumar Marella, Dhevguru Chaitanya Projects Consultancy Pvt. Ltd. Ghaziabad201010 India National Institute of Technology Karnataka Surathkal Mangalore575025 India

ISBN: (数字)9789819748525

ISBN: (纸本)9789819748518

A comprehensive study of the project titled "Four-laning of Bengaluru-Mangaluru from km 270 + 270 (Periya Shanthi) to km 318 + 755 (Bantwal)" was conducted to assess the project’s potential, necessities, and requirements. The evaluation also addressed the challenges encountered due to the project’s location in a mountainous terrain region. The major issue encountered and understood through this study was that the project is delayed more than usual due to many difficulties and challenges encountered by them under various circumstances. Based on the survey and research work done, it was understood that the region of Dakshina Kannada where the project is being done has high temperature during summers due to which ice cubes were used to maintain temperature for concrete batching. The objective of the project is to eliminate the hairpin bends which slowed down the traffic movement by straightening them to reduce congestion as there are many pilgrimage places, business hubs, and tourist places in the project vicinity. Some of the main reasons for the delay of the project was unseasonal rainfall, felling of trees, obstructing the Right of Way (ROW), the inability to move the utility units to the project site due to insufficient ROW, landslides, and many more reasons. Currently, the Extension of time (EOT) has been requested by the Contractor to NHAI, as the project has been delayed. This research paper further explores the detailed causes and gives a complete insight into the project. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Traffic congestion

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Metagenomic perspectives on antibiotic resistance genes in tap water:The environmental characteristic,potential mobility and health threat

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Journal of Environmental Sciences 2025年第1期147卷 582-596页

作者： Qiyue Meng Yibo Zhang Da He Yu Xia Jie Fu Chenyuan Dang School of Environmental Science and Engineering Huazhong University of Science and TechnologyWuhan 430074China Key Laboratory of Ecological Impacts of Hydraulic Projects and Restoration of Aquatic Ecosystem of Ministry of Water Resources Institute of HydroecologyMinistry of Water Resources&Chinese Academy of SciencesWuhan 430074China School of Environmental Science and Engineering College of EngineeringSouthern University of Science and TechnologyShenzhen 518055China

As an emerging environmental contaminant,antibiotic resistance genes(ARGs)in tap water have attracted great *** studies have provided ARG profiles in tap water,research on their abundance levels,composition characteristics,and potential threat is still ***,9 household tap water samples were collected from the Guangdong-Hong Kong-Macao Greater Bay Area(GBA)in ***,75 sets of environmental sample data(9 types)were downloaded from the public *** was then performed to explore the differences in the abundance and composition of ARGs.221 ARG subtypes consisting of 17 types were detected in tap *** the ARG abundance in tap water was not significantly different from that found in drinking water plants and reservoirs,their composition *** tap water samples,the three most abundant classes of resistance genes were multidrug,fosfomycin and MLS(macrolide-lincosamidestreptogramin)ARGs,and their corresponding subtypes ompR,fosX and macB were also the most abundant ARG *** the potential mobility,vanS had the highest abundance on plasmids and viruses,but the absence of key genes rendered resistance to vancomycin ***,the majority of ARGs present in tap water were those that have not been assessed and are currently not listed as high-threat level ARG families based on the World Health Organization *** the current potential threat to human health posed by ARGs in tap water is limited,with persistent transfer and accumulation,especially in pathogens,the potential danger to human health posed by ARGs should not be ignored.

关键词： Antibiotic resistance genes Tap water Plasmids Viruses Health threat

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Developing a Cybersecurity Architecture for Extensible Traffic Management (xTM)

Developing a Cybersecurity Architecture for Extensible Traff...

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AIAA Science and technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Lewis, Terrence D. Ali, Hassan Freeman, Kenneth Secure Airspace Technology Group Aeronautics Projects Office NASA Ames Research Center Moffett FieldCA94035 United States Science & Technology Corporation Moffett FieldCA94035 United States

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

This paper explores the development of a cybersecurity architecture tailored for Extensible Traffic Management (xTM) to address emerging challenges in managing diverse aerial vehicles within the National Airspace System (NAS). Driven by technological advances and the rise of uncrewed aerial systems (UAS), urban air mobility (UAM), and high-altitude traffic (ETM), the NAS is undergoing a paradigm shift. Traditional air traffic management, reliant on traditional Federal Aviation Administration (FAA) control, will give way to decentralized coordination among autonomous and semi-autonomous systems. The proposed xTM Security Architecture, designed as a high-level framework, focuses on ensuring the confidentiality, integrity, and availability of data and operations in this evolving ecosystem. Utilizing threat modeling, the research identifies potential risks across key flight phases, operations and use cases to offer security control recommendations. Key objectives include analyzing interactions between novel airspace entrants and existing NAS traffic, cataloging vulnerabilities, and developing mitigative strategies to ensure safety, operational stability, and secure data exchanges. This research lays the groundwork for regulatory and industry adaptation, providing critical insights into managing cybersecurity risks in this complex, multi-domain environment. © 2025, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Air traffic control

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Secure Travel Planning Using a Heuristic Algorithm

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Periodica Polytechnica Transportation Engineering 2025年第1期53卷 50-57页

作者： Mahdi, Ali Jamal Esztergár-Kiss, Domokos Department of Transport Technology and Economics Faculty of Transportation Engineering and Vehicle Engineering Budapest University of Technology and Economics Műegyetem rkp. 3. Budapest1111-H Hungary Department of Construction and Projects University of Anbar 55 Ramadi P.O.Box: 55431 Baghdad Ramadi31001 Iraq

Security perception in the urban area has a significant effect on travel behaviour, preferences, and tour planning. The perceptions of security risks can vary depending on factors, such as age, gender, and previous experiences. This study aims to consider security risks when developing travel plans and schedules for various activities. An improved heuristic algorithm, based on the Travelling Salesman Problem with security parameter and flexibility aspects, is proposed. Public transport is considered in three situations: fixed, flexible, and flexible-security situations. The outcomes demonstrate that the flexible situation significantly decreases travel times by 21% compared to the basic (fixed) situation. At the same time, with a slightly increased travel time the security risk can be avoided in the flexible-security situation. Travelers can enjoy a higher quality of travelling and enhanced personal experience by minimizing the journey duration and the impact of security risks on the tour schedule. The proposed method provides significant benefits for transport operators by increasing the efficiency of the transportation system and higher customer satisfaction. © 2025 Budapest University of technology and Economics. All rights reserved.

关键词： Heuristic algorithms

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