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Environment and Electrical engineering (EEE-AM), Asia Meeting on

作者： İbrahim Gazioğlu Thong Vu Van Ali Fuat Büyük Tuğçe Eren Le Anh Tuan Carmen Oana Smart Systems R&D Osmangazi Electricity Distribution Company Eskisehir Turkey EMAX Brussels Belgium Department of Electrical Engineering Chalmers University of Technology Gothenburg Sweden Simavi Bucharest Romania

This study demonstrates the flexibility trading process between a distribution system operator (dSO) and potential flexibility service providers (FSPs) using a framework consisting of a blockchain-based P2P trading platform and other auxiliary platforms. Within this framework, a demo study was conducted with real distribution system's assets and systems on the trading platform where the dSO specified its flexibility needs and FSPs were able to offer their flexibilities to support the dSO. In the study, vehicle-to-grid (V2G) compatible electric vehicle charging station and stationary battery storage system were used as flexible assets. The trading process was conducted within the specified time and price range through the platform, involving the FSPs and the dSO. As a result, the flexibility was provided to a local LV grid, leading to a 17% reduction in the load of the distribution transformer owned by the dSO.

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deformation dynamics of Bubbles in Asymmetric Semicircle Porethroat Microchannels: Experimental and Theoretical Insights

SSRN

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SSrN 2023年

作者： Yang, Yuqi Wang, Zizhen Wan, Guangze Liu, Zhengxiao Zhang, Haipeng Fu, Yuequn Ariane, Essouma E.F.B. Liu, Jian Xing, Tingyan Zhang, Shiling China University of Petroleum–Beijing at Karamay Karamay834000 China Institute of Unconventional Oil and Gas Science and Technology China University of Petroleum Beijing102249 China School of Information Engineering China University of Geosciences Beijing100083 China CNPC Engineering and Technology R&D Company Limited Beijing Beijing102200 China PoreLab The Njord Centre Department of Physics University of Oslo Oslo0371 Norway State Key Laboratory of Heavy Oil Processing China

Multi-phase microfluidic transport is a topic of great interest in both academic research and industry. This study focuses on the deformation dynamics of bubbles generated during oil transport in microchannels. We investigate the deformation behavior of bubbles in square microchannels with two semi-cylinders. Our findings show that bubble deformation occurs in two modes: breakup deformation and elastic nonbreakup deformation. By evaluating the minimum width of the microchannel neck, we divide both modes into four stages, which exhibit power-law variation. Additionally, we investigate the effects of presetting factors on viscosity in the microchannel. To gain deeper insights into the deformation mechanism of bubbles, we use micro-PIV to describe the velocity patterns and dimensional distribution of viscosity in the flow. We successfully summarize a dynamical scaling law that specifies the size of bubbles formed in the pore throat microchannels. It reveals that the fluid characteristic of the continuous phase dominates the deformation of bubbles in such microdevices. Moreover, we developed the rosin-rammler regression models to predict droplet size and neck width formation in the continuous liquid at microchannels, which we compare with experimental data. results of the analytical model show that microchannel shape and droplet volume play important roles in the droplet deformation process. © 2023, The Authors. All rights reserved.

关键词： Microchannels

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The Evaluation Method of Tarim Low-carbon and Energy-saving Technologies Integrating the Precedence Chart Method

The Evaluation Method of Tarim Low-carbon and Energy-saving ...

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2024 8th International Conference on Electrical, Mechanical and Computer engineering (ICEMCE)

作者： Zhang Wen Manqin Liu Xinyue Miao Li Zhang Shihao Hu Weidong Zhao Chunjian Huang Min Wang Lei Zhang Le Xu Tarim Oilfield Branch Company Petrochina Xinjiang China School of Economics and Management Southwest Petroleum University Chengdu China R&D Center for Ultra Deep Complex Reservior Exploration and Development CNPC Xinjiang China School of Electrical Engineering and Information Southwest Petroleum University Chengdu China Network and Information Center Southwest Petroleum University Chengdu China

ISBN: (数字)9798331506230

ISBN: (纸本)9798331506247

This article systematically explores the evaluation and application of low-carbon and energy-saving technologies integrated with the Precedence Chart method. The article details the algorithm design of the Precedence Chart method and explains the evaluation process of the Precedence Chart method in combination with the evaluation case. Through actual cases, it shows the specific applications of these models in the evaluation of low-carbon and energy-saving technologies. Through evaluating and analyzing several low-carbon and energy-saving technologies in the Tarim region, excellent (or worthy of promotion), good (or average) technologies are identified and presented in the form of cases in this article. By evaluating and analyzing several lowcarbon and energy-saving technologies in the Tarim region, excellent, worthy of promotion, good, and average technologies are identified and presented in the form of cases in this article. Through the comprehensive evaluation and analysis of low-carbon and energy-saving technologies, this article not only provides specific guidance for the energy conservation work in the Tarim region but also provides a useful reference for the low-carbon development in other regions and industries. In addition, the research results of this article also help to promote the innovation and development of low-carbon and energy-saving technologies and provide strong support for the realization of green and sustainable development goals.

关键词： Industries Technological innovation Accuracy Energy conservation Entropy reliability Sustainable development

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5G Wireless Network Security: Investigating Next-Generation Mobile Communication data Encryption Methods and Authentication Protocols

5G Wireless Network Security: Investigating Next-Generation ...

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device Intelligence, Computing and Communication Technologies, (dICCT), International Conference on

作者： Kiran Chand ravi Arokia Suresh Kumar Joseph Satish Bojjawar V.Samuthira Pandi Veeraiyah Thangasamy S. Jayanthi Department of ECE MLR Institute of Technology Dundigal Hyderabad India KUKA US Holdings Company LLC MI USA Department of Electronics and Instrumentation Engineering CVR College of Engineering Ranga Reddy Telangana Centre for Advanced Wireless Integrated Technology Chennai Institute of Technology Chennai Tamil Nadu India Department of Electronics and Communication Engineering V.S.B. Engineering College Karur Tamil Nadu India Department of ECE R.M.D. Engineering College Chennai Tamil Nadu India

ISBN: (数字)9798331543358

ISBN: (纸本)9798331543365

Unprecedented levels of speed, capacity, and connectivity for billions of devices are all on the horizon with the introduction of 5G wireless networks, which constitute a significant leap in mobile communication technology. These improvements, however, bring with them significant security concerns that need to be addressed in order to protect sensitive data and guarantee the privacy of users. This study analyzes the data encryption methods and authentication protocols that are specifically created for 5G networks, which are specifically designed for the next generation of mobile communication. To begin, we conduct an analysis of the inherent weaknesses that are present in the wireless communication systems that are now in use. This analysis drives home the point that robust encryption mechanisms are required to protect against unwanted access and data breaches. Elliptic Curve Cryptography (ECC), Quantum Key distribution (QKd), and homomorphic encryption are some of the advanced algorithms that are discussed in our research paper. A variety of encryption methods that are designed for 5G architecture are also discussed. As part of the 5G ecosystem, we evaluate how well they are able to protect the confidentiality, integrity, and authenticity of data while taking into account the limitations imposed by devices with limited resources. Further, we investigate novel authentication protocols, such as Mutual Authentication and Enhanced Authentication and Key Agreement (EAKA), which are designed to improve the level of security that is present during the interaction between the user and the network equipment. In order to evaluate the effectiveness, efficiency, and resilience of these encryption algorithms and authentication procedures in the face of growing threats in the 5G landscape, we conduct a series of simulations and comparative data analysis. Compared to earlier generations, the findings indicate a significant improvement in the security characteristics, and specific

关键词： Protocols Quantum computing 5G mobile communication Wireless networks Authentication Elliptic curve cryptography Encryption Quantum key distribution Security Next generation networking

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real-Life demonstration of Flexibility Provision by Smart Charging of EVs and Stationary Battery Storage

Real-Life Demonstration of Flexibility Provision by Smart Ch...

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Environment and Electrical engineering (EEE-AM), Asia Meeting on

作者： İbrahim Gazioğlu Jaikrishnan r Pillai Le Anh Tuan Smart Systems R&D Osmangazi Electricity Distribution Company Eskisehir Turkey Bovlabs SAS Aix-en-Provence France Department of Electrical Engineering Chalmers University of Technology Gothenburg Sweden

The main aim of the work is to demonstrate in real-life the possibility to manage the flexible demand-side resources, including dC fast EV charger, V2G EV charger and batteries, in a smart manner to mitigate potential grid congestion problems. For this purpose, an intelligent “EV management platform” has been developed and used in the demonstration. Through this platform, the dSO can determine a threshold level for loading of the transformer based on historical loading data of the transformer and can determine the charge/discharge profiles for the equipment for the designated time, considering the charging preferences of electric vehicle users. The results from the demonstration showed that the demand-side resources can be dispatched automatically to satisfy the users' needs while effectively preventing the local grid congestion problems.

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Treatment technology of brine contamination and barite settlement for the high temperature and high density OBM for ultra-deep well drilling in western China

Treatment technology of brine contamination and barite settl...

引用

International Petroleum technology Conference 2019, IPTC 2019

作者： Wang, Jianhua Yan, Lili Liu, Fengbao Yang, Haijun Yin, da Xu, Xianguang CNPC Engineering Technology R and D Company limited China Petrochina Tarim Oilfield Company China

ISBN: (纸本)9781613996195

due to the existence of extremely high temperature, high pressure thick evaporite bed and brine layer, Kuqa piedmont structure has been identified as one of the most complicated drilling regions in the world which locates in Tarim Basin of China. In Keshen Block the occurrence rate of high pressure brine invasion during the drilling progress is high up to 56%, and barite in OBM mud is easy to settle under high temperature and longtime static conditions. Therefore, brine invasion and barite settlement are serious challenges for ultra-deep wells drilling in Western China. Increasing the density of mud is one method to deal with brine invasion during drilling, but lost circulation is easy to be caused. Another method is discharge the brine in batches to reduce the high pressure of brine layer, which requests the higher brine capacity of OBM. In this instance, a new emulsifier used in OBM was compounded to enhance the emulsifying efficiency through the increase the number of hydrophilic group on single emulsifier molecular structure. The experiment results indicated that the ability of OBM tolerance to brine contamination is higher than 60%. The instrument for evaluating the sedimentation rate of OBM at high temperature (200°C) and high pressure (20MPa) has been developed. The experiment results indicated that increasing rM6 value could improve the stability of settlement. Well KS1101 encountered lost circulation and high pressure brine layer in the same horizon, the safety density window of the drilling fluid is almost zero. Thus, the method of brine discharge in batches was used to reduce the brine layer pressure to ensure the drilling safety. A total of 1129.98m3 brine was discharged by 64 times of drainage and avoided the lost circulation. The rheology of OBM is stable, and the brine water capacity of the drilling fluid system is more than 45%. Throughout the drilling process, there was no downhole complex occurred. This OBM system has been wildly used in Keshen Blo

关键词： Infill drilling

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PH-rESPONSIVE NANO-GEL PLUGGING MATErIAL, ANd PrEPArATION METHOd THErEFOr ANd USE THErEOF

PH-RESPONSIVE NANO-GEL PLUGGING MATERIAL, AND PREPARATION ME...

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作者： ZHANG, Jie 张洁 CHENG, rongchao 程荣超 FENG, Jie 冯杰 ZHAO, Zhiliang 赵志良 WANG, Shuangwei 王双威 LI, Long 李龙 ZHANG, Tianyi 张天怡

标准号: WO2023/279712(A1)

Provided in the present invention are a pH-responsive nano-gel plugging material, and a preparation method therefor and the use thereof. The pH-responsive nano-gel plugging material comprises the following raw materials in parts by mass: 50-70 parts of water, 2-3 parts of an emulsifier, 25-35 parts of an acrylic terpolymer, 10-15 parts of a polyalcohol compound, and 10-20 parts of a vinyl pyridine compound. The pH-responsive nano-gel plugging material can be applied to the plugging of Ordovician carbonate rock fractures and micro-karst cave strata, and can automatically identify Ordovician carbonate rock fractures and micro-karst cave leaking layers and realize effective blocking thereof.

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Artificial intelligence for partial differential equations in computational mechanics: A review

arXiv

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arXiv 2024年

作者： Wang, Yizheng Bai, Jinshuai Lin, Zhongya Wang, Qimin Anitescu, Cosmin Sun, Jia Eshaghi, Mohammad Sadegh Gu, Yuantong Feng, Xi-Qiao Zhuang, Xiaoying rabczuk, Timon Liu, Yinghua Department of Engineering Mechanics Tsinghua University Beijing100084 China Institute of Structural Mechanics Bauhaus-Universität Weimar Marienstr. 15 WeimarD-99423 Germany Institute of Photonics Leibniz University Hannover Hannover30167 Germany Drilling Mechanical Department CNPC Engineering Technology RD Company Limited Beijing102206 China School of Mechanical Medical and Process Engineering Queensland University of Technology BrisbaneQLD4000 Australia ARC Industrial Transformation Training Centre—Joint Biomechanics Queensland University of Technology BrisbaneQLD4000 Australia

In recent years, Artificial intelligence (AI) has become ubiquitous, empowering various fields, especially integrating artificial intelligence and traditional science (AI for Science: Artificial intelligence for science), which has attracted widespread attention. In AI for Science, using artificial intelligence algorithms to solve partial differential equations (AI for PdEs: Artificial intelligence for partial differential equations) has become a focal point in computational mechanics. The core of AI for PdEs is the fusion of data and partial differential equations (PdEs), which can solve almost any PdEs. Therefore, this article provides a comprehensive review of the research on AI for PdEs, summarizing the existing algorithms and theories. The article discusses the applications of AI for PdEs in computational mechanics, including solid mechanics, fluid mechanics, and biomechanics. The existing AI for PdEs algorithms include those based on Physics-Informed Neural Networks (PINNs), deep Energy Methods (dEM), Operator Learning, and Physics-Informed Neural Operator (PINO). AI for PdEs represents a new method of scientific simulation that provides approximate solutions to specific problems using large amounts of data, then fine-tuning according to specific physical laws, avoiding the need to compute from scratch like traditional algorithms. Thus, AI for PdEs is the prototype for future foundation models in computational mechanics, capable of significantly accelerating traditional numerical algorithms. Copyright © 2024, The Authors. All rights reserved.

关键词： Computational mechanics

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Kolmogorov–Arnold-Informed neural network: A physics-informed deep learning framework for solving forward and inverse problems based on Kolmogorov–Arnold Networks

arXiv

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arXiv 2024年

作者： Wang, Yizheng Sun, Jia Bai, Jinshuai Anitescu, Cosmin Eshaghi, Mohammad Sadegh Zhuang, Xiaoying rabczuk, Timon Liu, Yinghua Department of Engineering Mechanics Tsinghua University Beijing100084 China Institute of Structural Mechanics Bauhaus-Universität Weimar Marienstr. 15 WeimarD-99423 Germany Institute of Photonics Department of Mathematics and Physics Leibniz University Hannover Germany Drilling Mechanical Department CNPC Engineering Technology RD Company Limited Beijing102206 China School of Mechanical Medical and Process Engineering Queensland University of Technology BrisbaneQLD4000 Australia ARC Industrial Transformation Training Centre—Joint Biomechanics Queensland University of Technology BrisbaneQLD4000 Australia

AI for partial differential equations (PdEs) has garnered significant attention, particularly with the emergence of Physics-informed neural networks (PINNs). The recent advent of Kolmogorov-Arnold Network (KAN) indicates that there is potential to revisit and enhance the previously MLP-based PINNs. Compared to MLPs, KANs offer interpretability and require fewer parameters. PdEs can be described in various forms, such as strong form, energy form, and inverse form. While mathematically equivalent, these forms are not computationally equivalent, making the exploration of different PdE formulations significant in computational physics. Thus, we propose different PdE forms based on KAN instead of MLP, termed Kolmogorov-Arnold-Informed Neural Network (KINN) for solving forward and inverse problems. We systematically compare MLP and KAN in various numerical examples of PdEs, including multi-scale, singularity, stress concentration, nonlinear hyperelasticity, heterogeneous, and complex geometry problems. Our results demonstrate that KINN significantly outperforms MLP regarding accuracy and convergence speed for numerous PdEs in computational solid mechanics, except for the complex geometry problem. This highlights KINN’s potential for more efficient and accurate PdE solutions in AI for PdEs. Copyright © 2024, The Authors. All rights reserved.

关键词： Inverse problems

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research and practice of full life cycle well integrity in HTHP well, tarim oilfield

Research and practice of full life cycle well integrity in H...

引用

International Petroleum technology Conference 2019, IPTC 2019

作者： Liu, Hongtao Cao, Lihu Xie, Junfeng Yang, Xiangtong Zeng, Nu Zhang, Xuesong Chen, Fei PetroChina Tarim Oilfield Company China CNPC Engineering Technology R and D Company Limited China

ISBN: (纸本)9781613996195

There is abundant natural gas in Kuqa foreland area of Tarim basin, the reservoir has characteristics of ultra depth(6500m-8000m), high pressure(115MPa-140MPa), high temperature(170°C-190°C) and complex corrosive medium, which bring well integrity high challenge. There are 52 production wells in the Kuqa foreland basin in 2012. The 16 wells of these production wells exist sustained casing pressure(SCP). The SCP wells caused by the tubing string failure is 61%. Since 2012, in order to build safe well barrier and achieve scientific production management, consider all important periods of drilling, well testing, well completion and production in well full life cycle. the design methods of the four main well barrier components(casing string, cement, tubing string, well head) are optimized. A set of technology for well barrier quality control, well maintenance and well production management is formed. Finally, the key technology of full life cycle well integrity for ultra depth, HPHT gas well is formed. In view of the large angle of bedding, well deviation controlled difficultly, and coexistence of high pressure saline aquifer and week bed in one open hole section which lead to serious casing wear and poor cement stone, the vertical well drilling technology, the collapse resistance casing design methods, the casing wear preventing measures, negative pressure test method and high temperature, high density cementing technology are completed. These technologies improve the safety of casing string and the quality of cement. Considering the extreme working conditions(the partial pressure of CO2 is beyond 2MPa, The content of chlorine is about 80000mg/L, acid job, 136MPa pump pressure in well head)of tubing string, material selection method, triaxial stress analysis method, quality control technology for tubing string is optimized. The failure ratio of tubing string reduced from 50% in 2013 to zero in 2017. referencing API rP 90-2 and IOS16530-2, a special calculation method f

关键词： Life cycle

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