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Impact of dissolution and precipitation on pore structure in CO2 sequestration within tight sandstone reservoirs

Petroleum Science 2025年第2期22卷 868-883页

作者： Hui Gao Kai-Qing Luo Chen Wang Teng Li Zhi-Lin Cheng Liang-Bin Dou Kai Zhao Nan Zhang Yue-Liang Liu School of Petroleum Engineering Xi'an Shiyou University Engineering Research Center of Development and Management for Low to Ultra-Low Permeability Oil & Gas Reservoirs in West China Ministry of Education Xi'an Key Laboratory of Tight Oil (shale Oil) Development Department of Electrical Engineering and Computer Science University of Stavanger School of Petroleum Engineering China University of Petroleum (Beijing)

Complex physical and chemical reactions during CO2sequestration alter the microscopic pore structure of geological formations,impacting sequestration *** investigate CO2sequestration dynamics,comprehensive physical simulation experiments were conducted under varied pressures,coupled with assessments of changes in mineral composition,ion concentrations,pore morphology,permeability,and sequestration capacity before and after ***,a method using NMR T2spectra changes to measure pore volume shift and estimate CO2sequestration is *** quantifies CO2needed for mineralization of soluble ***,when CO2dissolves in crude oil,the precipitation of asphaltene compounds impairs both seepage and storage ***,the impact of dissolution and precipitation is closely associated with storage pressure,with a particularly pronounced influence on smaller *** pressure levels rise,the magnitude of pore alterations progressively *** a pressure threshold of 25 MPa,the rate of change in small pores due to dissolution reaches a maximum of 39.14%,while precipitation results in a change rate of-58.05% for small *** observed formation of dissolution pores and micro-cracks during dissolution,coupled with asphaltene precipitation,provides crucial insights for establishing CO2sequestration parameters and optimizing strategies in low permeability reservoirs.

关键词： Dissolution Precipitation Pore structure CO 2 sequestration Unconventional reservoirs

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Reviewing metal supported solid oxide fuel cells for efficient electricity generation with biofuels for mobility

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Journal of Energy Chemistry 2025年第04期103卷 106-153页

作者： Fábio C.Antunes Jo?o P.J.de Oliveira Ricardo S.de Abreu Thiago Dias Bruno B.N.S.Brand?o Josué M.Gon?alves Josimar Ribeiro Julian Hunt Hudson Zanin Gustavo Doubek School of Electrical and Computer Engineering University of Campinas School of Food Engineering University of Campinas School of Chemical Engineering University of Campinas Mackenzie Institute for Research in Graphene and Nanotechnologies (Mack Graphe) Mackenzie Presbyterian Institute Electrochemistry Research and Development Laboratory (LPDE) Department of Chemistry Center of Exact Sciences Federal University of Espírito Santo Biological and Environmental Science and Engineering Division King Abdullah University of Science and Technology

Metal-Supported Solid Oxide Fuel Cells（MS-SOFCs） hold significant potential for driving the energy *** electrochemical devices represent the most advanced generation of Solid Oxide Fuel Cell（SOFCs） and can pave the way for mass production and wider adoption than Proton Exchange Membrane Fuel Cells（PEMFCs） due to their fuel flexibility,higher power density and the absence of noble metals in the fabrication *** review examines the state-of-the-art of SOFCs and MS-SOFCs,presenting perspectives and research directions for these key technological devices,highlighting novel materials,techniques,architectures,devices,and degradation mechanisms to address current challenges and future *** such as infiltration/impregnation,ex-solution catalyst synthesis,and the use of a pre-catalytic reformer layer are discussed as their impact on efficiency and prolonged *** concepts are also described and connected with well-dispersed nano particles,hindrance of coarsening,and an increased number of Triple Phase Boundaries（TPBs）.This review also describes the synergistic use of reformers with MS-SOFCs to compose solutions in energy generation from readily available ***,the End-of-Life（EoL）,recycling,and life-cycle assessments（LCAs） of the Fuel Cell Hybrid Electric Vehicles（FCHEVs） were *** comparing Fuel Cell Electric Vehicles（FCEVs）equipped with（PEMFCs） and FCHEVs equipped with MS-SOFCs,both powered with hydrogen（H2） generated by different routes were *** review aims to provide valuable insights into these key technological devices,emphasizing the importance of robust research and development to enhance performance and lifespan while reducing costs and environmental impact.

关键词： Biofuel Fuel cell Hybrid electric vehicle Metal-supported solid oxide fuel cell Powertrain systems Reform

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FINITE ELEMENT ANALYSIS AND LIGHTWEIGHT research OF AN ELECTRIC VEHICLE DRIVE AXLE HOUSING

International Journal of Mechatronics and Applied Mechanics

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International Journal of Mechatronics and Applied Mechanics 2025年第19期2025卷 187-192页

作者： Chao, Guo Shouxin, Li Yu, Wang Junjie, Wang Xuexin, Yang Department of Automotive Engineering Hebei Institute of Mechanical and Electrical Technology Hebei Xingtai054000 China New Energy Vehicle Lightweight Technology Research and Development Center of Xingtai Hebei Xingtai054000 China

The drive axle housing of an electric truck is an important component to ensure the normal operation of the vehicle. The finite element analysis of drive axle housing is a necessary process in the design of drive axle housing. Through the research on the drive axle housing, the four typical force conditions of full load static condition, emergency braking condition, maximum tractive force condition and maximum lateral force condition are analyzed, and their strength is checked according to the national standard of "QC/T 533-2020 China Commercial Vehicle Drive Axle Assembly", so as to ensure the static strength of the drive axle. Through the modal analysis of the drive axle housing, it is ensured that the drive axle housing will not be damaged due to resonance problems during use. Finally, in the requirements of green environmental protection performance, the drive axle housing lightweight research was carried out on the drive axle housing, and through research optimization, the mass of the drive axle housing was reduced by 16.3%, saving a lot of materials. At the same time, the strength performance of the drive axle was also improved. The results show that the finite element analysis of drive axle housing is an important method to design high-quality drive axle housing. Lightweight research can not only reduce the waste of materials, but also improve the structure of the drive axle and improve its performance. © 2025 by the authors.

关键词： Drive axle housing Finite element method Lightweight research Modal analysis Strength check Structural optimization

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The Digital Twin City in Enhancing Flood Evacuation Systems: Future Opportunities and Challenges

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IEEE Access 2025年 13卷 32371-32383页

作者： Setijadi Prihatmanto, Ary Prasetyadi, Abdurrakhman Yoganingrum, Ambar Sutriadi, Ridwan Hadiana, Ana Bandung Institute of Technology School of Electrical and Informatics Engineering Bandung40132 Indonesia National Research and Innovation Agency Research Center for Data and Information Science Bandung40231 Indonesia Bandung Institute of Technology School of Architecture Planning and Policy Development Bandung40132 Indonesia

In recent decades, the increasing frequency and severity of natural disasters have necessitated the development of more effective disaster management systems. This paper explores the potential of digital twin technology to enhance flood evacuation systems. A digital twin-city model can simulate urban environments, predict flood inundation, and identify optimal evacuation routes in real-time. The study conducts a systematic literature review to assess current advancements, evaluating the integration of 3D city models, artificial intelligence, and Internet of things sensors in flood evacuation planning. Results indicate that digital twin technology significantly improves predictive capabilities and evacuation efficiency, although data integration, model accuracy, and computational demands remain. Future research should focus on enhancing data integration, refining simulation models, improving predictive analytics, developing advanced visualization tools, and validating models across diverse environments to ensure reliability and effectiveness. © 2025 The Authors.

关键词： Digital elevation model

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Robust Error State Sage-Husa Adaptive Kalman Filter for UWB Localization

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IEEE Sensors Journal 2025年第9期25卷 16034-16049页

作者： Juston, Marius Gupta, Soumil Mathur, Shrey Norris, William R. Nottage, Dustin Soylemezoglu, Ahmet University of Illinois Urbana-Champaign The Grainger College of Engineering Industrial and Enterprise Systems Engineering Department UrbanaIL61801 United States University of Illinois Urbana-Champaign The Grainger College of Engineering Electrical and Computer Engineering Department UrbanaIL61801 United States Construction Engineering Research Laboratory U.S. Army Corps of Engineers Engineering Research and Development Center ChampaignIL61822 United States

Given the sensors’ path and interference mitigation capabilities, ultra-wideband (UWB)-based positioning systems have demonstrated high accuracy and reliability. This work aims to improve the Sage-Husa fuzzy adaptive filter (SHFAF) proposed in previous works by modifying the motion model to a 3-D ground-based differential drive robot using IMU and wheel encoder kinematic fused control inputs. In addition to the changed motion model kinematics, this article improved the positive definite constraint on P and R during dynamic estimations, thus making the filter more robust to outliers. An improvement to the computation and derivation of the fuzzy logic system for the SHFAF based on the adaptive neuro-fuzzy inference system (ANFIS) structure was developed, and training the fuzzy system using gradient descent was applied to improve the system’s accuracy. Experimental validation was conducted using real-world data from a Clearpath Jackal robot equipped with Qorvo UWB sensors and static nodes. Regarding localization accuracy, the proposed velocity-based SHFAF (VelSHFAF) system outperformed the previous SHFAF implementation by approximately 30%–25% across two test courses, demonstrating its enhanced performance and reliability. © 2001-2012 IEEE.

关键词： Adaptive filters

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Monocular vision navigation system for UAV autonomous mission: a real-time window-based obstacle avoidance approach

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Neural Computing and Applications 2025年 1-18页

作者： Javaid, Abdulrahman Alnaser, Mustafa Baroudi, Uthman Alfaraj, Amjad Research and Development Department Yokogawa Saudi Arabia Company Al Khobar Saudi Arabia Department of Computer Engineering King Fahd University of Petroleum Minerals Dhahran Saudi Arabia Center for Intelligent Secure Systems King Fahd University of Petroleum Minerals Dhahran Saudi Arabia Department of Electrical Engineering King Fahd University of Petroleum Minerals Dhahran Saudi Arabia

The need for autonomous unmanned aerial vehicles (UAVs) is rapidly increasing for various industrial applications today. However, the realization of UAV autonomy requires a careful mix of Artificial Intelligence (AI) and computer vision (CV) techniques to be implemented to address end-user challenges and satisfy field requirements. This study aims to develop an intelligent system for UAV to achieve autonomy with standard low-cost hardware components. We have infused state-of-the-art AI and CV technologies into our developed system architecture to improve autonomous navigational capabilities of UAVs. The proposed architecture has been implemented and tested on the DJI Tello UAV equipped only with a monocular camera on-board and an inertial measurement unit (IMU). We focused on solving multiple practical technical problems that have arisen during this study due to the hardware limitations of the UAV. The study investigated methods for representing obstacles within an environmental map, which are crucial for effective avoidance and path planning, such as their edges, width, and shape, to ensure accurate detection and navigation. The experiments were carried out in an environment that included dynamic obstacles that were not considered in the map. The experimental results showed outstanding performance in terms of successful autonomous navigation for a wide range of light intensity. These results show that the proposed approach has a high potential to achieve autonomous UAV operation in the field with low hardware and energy requirements. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2025.

关键词： Motion planning

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development of a Remotely Operated Vehicle with Underwater Cleaning Capabilities Using a Systems engineering Approach

Development of a Remotely Operated Vehicle with Underwater C...

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2025 IEEE Underwater Technology, UT 2025

作者： Lin, Shengyi Liu, Junyou Tseng, Chunshun Chen, Jianhong Huang, Chuncheng DaYeh University Department of Electrical Engineering Changhua Taiwan Ship and Ocean Industries Research and Development Center SHIP INDUSTRIES DEPARTMENT New Taipei City Taiwan DWTEK CO. Ltd. R&D Department Taichung Taiwan

ISBN: (纸本)9798331534189

In recent years, the global wind power generation and marine development industries have seen significant technological advancements. The maintenance and cleaning of offshore facilities are essential tasks. Traditional manual diving operations are not only costly but also entail high risks, making the use of Remotely Operated Underwater Vehicles (ROVs) crucial for assisting in various operations. The objective of this study is to develop a prototype ROV capable of cleaning marine growth from offshore wind turbine foundations. By applying a systems engineering approach to the development process, the study follows rigorous procedures including requirements verification, conceptual design, preliminary design, detailed design, manufacturing and assembly, system integration, and testing and validation. This process successfully results in the development of a prototype ROV with underwater cleaning capabilities. During the development process, we divided the work into four main categories: mechanical structure system, Human-Machine Interface (HMI) system, power system, and system integration. The design of the mechanical structure system considers the stability and durability required for underwater operations, ensuring that the ROV can operate continuously in various marine environments. The HMI system focuses on developing an intuitive and easy-to-operate control interface for the operator, enhancing the flexibility and precision of operation. The power system is designed to provide stable power supply in different mission scenarios, ensuring continuous power support for the ROV during long-duration operations. Finally, system integration is responsible for effective synchronization and collaboration between subsystems to achieve the intended goals. This study leverages the advantages of the systems engineering approach in equipment system development projects, successfully developing a prototype of ROV with underwater cleaning capabilities. This provides a more effici

关键词： Conceptual design

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Increase in global per capita cropland imbalance across countries from 1985 to 2022:A threat to achieving Sustainable development Goals

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Geography and Sustainability 2025年第2期6卷 253-264页

作者： Tingting Zhao Xiao Zhang Wendi Liu Jinqing Wang Zhehua Li Liangyun Liu School of Geography and Ocean Science Nanjing UniversityNanjing 210023China International Research Center of Big Data for Sustainable Development Goals Beijing 100094China Key Laboratory of Digital Earth Science Aerospace Information Research InstituteChinese Academy of SciencesBeijing 100094China School of Electronic Electrical and Communication EngineeringUniversity of Chinese Academy of SciencesBeijing 100049China

Sustainable development Goal 2(SDG 2,zero hunger)highlights that global hunger and food insecurity have worsened since 2015,driven in part by growing *** the challenge of achieving SDG 2 in the face of rapid global population growth requires sustained attention to global and national cropland *** quantifying the correlation between population and cropland area(i.e.,SDG 2.4.1 per capita cropland)and analyzing the trends of global cropland imbalance are essential for a comprehensive understanding of SDG *** this study,we utilized a new global 30 m land-cover dynamic dataset(GLC_FCS30D)to analyze cropland dynamics,quantify per capita cropland and its changes across various countries and levels of *** results indicate that the global cropland area expanded by 0.944 million km^(2)from 1985 to 2022,with an average expansion rate of 2.42×10^(4)km^(2)/***,the global per capita cropland area decreased from 0.347 ha in 1985 to 0.217 ha in 2022,mainly due to a higher population increase of nearly 65%in the same *** the context of globalization,cropland expansion and per capita cropland exhibited spatial imbalances globally,particularly in developing *** countries saw an increase in total cropland area by 7.09%but a significant decrease in per capita cropland area by 37.38%.From a temporal perspective,the global imbalance has been steadily increasing with the Gini index rising from 0.895 in 1985 to 0.909 in ***,this study reveals an increasing imbalance of global per capita cropland across various countries,which threatens the attainment of the targets of SDG 2.

关键词： Sustainable development Goals GLC_FCS30D Cropland changes Population Imbalance

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Device Design Guidelines to Boost up AC Performance of CFET (Complementary Field-Effect-Transistor)-Based Inverter

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IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 2025年

作者： Lim, Jaehyuk Han, Donghwan Sung, Juho Yoon, Seokchan Kang, Sanghyun Kim, Gwon Baac, Hyoung Won Shin, Changhwan Sungkyunkwan University Department of Electrical and Computer Engineering Suwon16419 Korea Republic of Korea University School of Electrical Engineering Seoul02841 Korea Republic of Samsung Electronics Semiconductor Research and Development Center Logic Technology Development Team Hwaseong18448 Korea Republic of

Complementary Field-Effect Transistors (CFETs) have emerged as promising candidates for next-generation semiconductor devices. CFETs feature a structure with an NMOS (or PMOS) transistor at the bottom and a transistor of the opposite type at the top. CFETs can be classified into Fin-CFETs or GAA-CFETs based on their channel structure. In this study, we compare and analyze these two devices to determine which structure is more favorable for device scaling and which device exhibits better performance per unit area. For a reliable analysis, the threshold voltage was adjusted to be the same for all devices. Initially, to compare the DC performance, the on-state drive currents in both linear mode and saturation mode operations were extracted and compared from the IDS-vs.-VGS input-transfer characteristics. Subsequently, CMOS inverters were constructed to compare their AC performance. Six parameters were extracted and compared: high-to-low propagation delay (tpHL), falling time (tf), low-to-high propagation delay (tpLH), rising time (tr), overshoot voltage (Vov), and undershoot voltage (Vund). Based on the results, we suggest which CFET structure is more suitable for device scaling. © 1982-2012 IEEE.

关键词： CMOS integrated circuits

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Reaching Nirvana: Maximizing the Margin in Both Euclidean and Angular Spaces for Deep Neural Network Classification

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IEEE Transactions on Neural Networks and Learning Systems 2025年第5期36卷 8178-8191页

作者： Cevikalp, Hakan Saribas, Hasan Uzun, Bedirhan Eskişehir Osmangazi University Department of Electrical and Electronics Engineering Eskişehir26040 Turkey Huawei Türkiye Research and Development Center AIE Department Istanbul34768 Turkey

The classification loss functions used in deep neural network classifiers can be split into two categories based on maximizing the margin in either Euclidean or angular spaces. Euclidean distances between sample vectors are used during classification for the methods maximizing the margin in Euclidean spaces whereas the Cosine similarity distance is used during the testing stage for the methods maximizing the margin in the angular spaces. This article introduces a novel classification loss that maximizes the margin in both the Euclidean and angular spaces at the same time. This way, the Euclidean and Cosine distances will produce similar and consistent results and complement each other, which will in turn improve the accuracies. The proposed loss function enforces the samples of classes to cluster around the centers that represent them. The centers approximating classes are chosen from the boundary of a hypersphere, and the pair-wise distances between class centers are always equivalent. This restriction corresponds to choosing centers from the vertices of a regular simplex inscribed in a hypersphere. The proposed loss function can be effortlessly applied to classical classification problems as there is a single hyperparameter that must be set by the user, and setting this parameter is straightforward. Additionally, the proposed method can effectively reject test samples from unfamiliar classes by measuring their distances from the known class centers, which are compactly clustered around their corresponding centers. Therefore, the proposed technique is especially suitable for open set recognition problems. Despite its simplicity, experimental studies have demonstrated that the proposed method outperforms other techniques in both open set recognition and classical classification problems. © 2012 IEEE.

关键词： Equivalence classes

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