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New understanding of non-uniform propagation mechanism of horizontal fractures in shallow high-permeability reservoirs and research on main controlling factors 58

New understanding of non-uniform propagation mechanism of ho...

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58th US rock Mechanics / Geomechanics Symposium 2024, ArMA 2024

作者： Qiao, Yan Zhang, Yang Shang, Litao Chen, Xidi Chen, Zhao Lei, Fan Bai, Jie CNPC Engineering Technology R&D Company Limited BeiJing China PetroChina Daqing Oilfield Company Daqing China PetroChina Zhejiang Oilfield Company Hangzhou China PetroChina Tuha Oilfield Company HaMi China Research Institute of Petroleum Exploration & Development BeiJing China

ISBN: (纸本)9798331305086

The Changyuan block of daqing oilfield in China has a shallow reservoir burial depth (100md), is in the late stage of development, and has a high water content (>95%).Hydraulic fracturing produced non-uniformly propagating horizontal *** present, the mechanism and controlling factors of non-uniform propagation of horizontal fractures are not well *** this paper, based on the geological numerical model of Changyuan block, the non-uniform propagation of horizontal fracture is *** main conclusions are as follows: the horizontal fracture will expand in the direction of large fracture initiation stress difference (minimum horizontal principal stress - vertical stress);the main controlling factors for the non-uniform propagation of horizontal fracture are construction net pressure, temporary plugging distance, fracture initiation stress difference and its non-uniformity;with the increase of the fracture initiation stress difference non-uniformity, horizontal fractures increased flow conductivity, and the cumulative oil production volume will be *** micro-seismic monitoring results show that the non-uniform propagation law of horizontal fracture is in line with the actual *** is of great significance for the redevelopment of the shallow layer of the old oilfield. Copyright 2024 ArMA, American rock Mechanics Association.

关键词： Horizontal wells

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Spot Welding Characteristics on the Manufacturing Method of Li-Ion Battery Packs for Electric Vehicle

Spot Welding Characteristics on the Manufacturing Method of ...

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International Conference on Control, Automation and Systems ( ICCAS)

作者： A. Angani H.M. Hwang H.r. Cha Y.G. Kim Automotive Materials & Components R&D Group Korea Institute of Industrial Technology Gwangju Korea

Spot welding, Li-ion battery packs, used in automotive and stationary applications, require a large number of cells to be interconnected. Spot welding is a common technique employed to join the tabs of pouch cells to the bus-bar. However, there is limited research on the joint characteristics regarding electrical resistance and temperature increase during charge-discharge cycles. In this study, a electrical and thermal properties of spot welded joints between 0.3mm nickel tabs and 1.0mm bus bar, using only a thin needles-shaped upper electrode at constant current and voltage and forced air cooling, and two types of battery packs rated capacity of 0.5KW and 1KW were manufactured using a cylindrical cell (Li-ion battery) with a nominal voltage of 3.7 V and a rated current of 5Ah. In order to improve the efficiency of battery quality, welding time and temperature raise were evaluated from the experiment.

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Computing Power Scheduling Method Based on Long-Term Workload Prediction for Computing Power Platform 6

Computing Power Scheduling Method Based on Long-Term Workloa...

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6th International Conference on Communications, Information System and Computer Engineering, CISCE 2024

作者： Yang, Wangying Zhu, Guoping Chen, Qin Liu, Nianchao School of Computer Science Beijing University of Posts and Telecommunications Beijing China China Electronics Cloud Computing Technology Co. Ltd. Cloud Product R&d Department Wuhan China S&t Development China Electronics Corporation Shenzhen China

ISBN: (纸本)9798350353174

Users' requests for the computing power often exhibit suddenness and unpredictability, which creates challenges for workload scheduling of computing power platforms. Traditional scheduling methods struggle to adapt to such situations as they typically schedule based on real-time load conditions, ignoring long-term trends in load variations. To address these limitations, we propose a computing power scheduling method based on long-term workload prediction. First, we leverage a tree structure to aggregate temporal-spatial information from multi-variate operating time-series data, effectively describing the characteristics of workload on computing power platform. Building upon Informer, we employ residual mechanisms and dilated causal convolutions to extract deep features. Additionally, we integrate Wasserstein Generative Adversarial Network (WGAN) with Informer to accurately forecast future changes in workload for computing platforms, and introduce a novel training algorithm to enhance efficiency. We validate our method through experiments using real-world workload datasets, demonstrating the significant reduction in Mean Absolute Error (MAE) compared to LSTM. Furthermore, our model exhibits sensitivity to the length of encoder input sequences, indicating improved performance with longer series inputs. © 2024 IEEE.

关键词： Computing power

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Time-series clustering approach for training data selection of a data-driven predictive model: Application to an industrial bio 2,3-butanediol distillation process

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COMPUTErS & CHEMICAL ENGINEErING 2022年 161卷

作者： Choi, Yeongryeol An, Nahyeon Hong, Seokyoung Cho, Hyungtae Lim, Jongkoo Han, In-Su Moon, Il Kim, Junghwan [a]Green Materials and Processes R&D Group Korea Institute of Industrial Technology 55 Jongga-ro Ulsan 44413 Republic of Korea [b]Department of Chemical and Biomolecular Engineering Yonsei University 50 Yonsei-ro Seodaemun-gu Seoul 03722 Republic of Korea [c]Research and Development Center GS Caltex Corporation 359 Expo-ro Yuseong-gu Daejeon Republic of Korea

In this study, we propose a time-series clustering approach that selects optimal training data for the development of predictive models. The optimal number of clusters was set based on the variation of within-cluster sums of squares. A predictive model was developed with the selection ratio of training data from each of those clusters. Based on the results, a regression model was developed to predict the performance of the model. The search space was applied to the regression model, and the optimal training data ratio were selected satisfying the objective function and constraints. The effectiveness of the method is demonstrated by addressing a commercial bio 2,3-butanediol distillation process. As a result, the number of data for model training was reduced by 49.20% compared to the base case without clustering. The coefficient of determination (r 2 ) showed the same level of performance, and the root mean-square error was improved up to 14.07%.

关键词： Training data selection data-driven predictive model Time-series clustering Bio 2 3-BdO

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Extreme Ultraviolet Scatterometry for Characterizing Nanometer Scale Features in a damascene Sample

Extreme Ultraviolet Scatterometry for Characterizing Nanomet...

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2024 Frontiers in Optics, FiO 2024

作者： Klein, C. Jenkins, N. Shao, Y. Li, Y. Park, S. Kim, W. Kapteyn, H. Murnane, M. Department of Physics JILA STROBE NSF Science & Technology Center University of Colorado NIST BoulderCO United States Core Technology R&D Team Mechatronics Research Samsung Electronics Co. Ltd. Hwasung Korea Republic of Advanced Process Development Team 4 Semiconductor R&D Center Samsung Electronics Co. Ltd. Hwasung Korea Republic of Kapteyn-Murnane Laboratories Inc. 4775 Walnut Street #102 BoulderCO80301 United States

We characterize nanoscale out-of-plane features on an industrially relevant semiconductor sample using a coherent extreme ultraviolet high harmonic generation source at 29nm. The advantages of using 13.5nm light are a... 详细信息

关键词： Extreme ultraviolet lithography

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A High-Efficiency Compact rectifier Circuit design for Harvesting rF Signals in Low-Powered Wireless Communication Systems*

A High-Efficiency Compact Rectifier Circuit Design for Harve...

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IEEE Symposium on Wireless technology and Applications (ISWTA)

作者： Surajo Muhammad Osama Abuajwa Sufian Mitani Jun Jiat Tiang Research & Innovation Development Division Telekom Research & Development (TM R&D) TM Innovation Centre Cyberjaya Malaysia Futurist Unit Telekom Research & Development (TM R&D) TM Innovation Centre Cyberjaya Malaysia Faculty of Engineering Centre For Wireless Technology Multimedia University Cyberjaya Malaysia

ISBN: (数字)9798350351354

ISBN: (纸本)9798350351361

This paper presents a compact and efficient rectifier capable of harvesting GSM/900 radio frequency (rF) signals. The design uses an impedance-matching network (IMN) block with a series of short radial and curve stubs and an inductor. The rectifier is designed on rT/duroid substrate and has a total size of $22.10\ \text{mm}\times 8.30\ \text{mm}$ , using a single series diode configuration. The proposed design achieves a maximum power conversion efficiency (PCE) of 83.50% at 1 dBm input power. It can also detect and convert low rF input power below −40 dBm into a usable output dC source, making it suitable for low-powered wireless communication systems. Overall, this compact rectifier is a promising solution for harvesting ambient rF energy and can be used for long transmission with minimal path loss.

关键词： radio frequency Wireless communication Shunts (electrical) rF signals rectifiers Size measurement Propagation losses

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Predicting Aging Effects and Permanent Set of Vacuum Sealing Systems in Semiconductor Manufacturing Processes

Predicting Aging Effects and Permanent Set of Vacuum Sealing...

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IEEE/SEMI Conference and Workshop on Advanced Semiconductor Manufacturing

作者： Christoph Wehmann Ambarish Kulkarni Feyzan durn Murat Gulcur Alan Astbury Simulation Methods Dev R&D Trelleborg Sealing Solutions Stuttgart Germany Materials Development R&D Trelleborg Sealing Solutions Tewkesbury UK Simulation Methods Dev R&D Trelleborg Sealing Solutions Ft. Wayne IN USA

Maintaining vacuum integrity for the semiconductor manufacturing processes is extremely important to improve semiconductor fab productivity. The expensive machinery and the enormous costs of production downtime require reliable sealing systems which are designed to operate the longest possible preventative maintenance (PM) cycles. Being able to predict the lifetime of the sealing systems can help determine the optimum maintenance periods and hence increase profitability in costly wafer processing. The present contribution will describe a finite element method to predict the lifetime of a vacuum sealing system limited by aging effects of the elastomer.

关键词： Productivity Vacuum systems Profitability Semiconductor device reliability Seals Semiconductor device manufacture Maintenance engineering

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Intelligent Prediction and Key Factor Analysis to Lost Circulation from drilling data based on Machine Learning

Intelligent Prediction and Key Factor Analysis to Lost Circu...

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2022 International Conference on Computer Graphics, Artificial Intelligence, and data Processing, ICCAId 2022

作者： Wen, Guangyao Chen, Huailong Zhou, Tuo Gao, Chengwu Baletabieke, Bahedaer Zhou, Haiqiu Wang, Shan CNPC Amu Darya River Gas Exploration & Development Company Beijing102299 China CNPC Engineering Technology R&D Company Limited Beijing102206 China Beijing Chen Yu Jin Yuan Science and Technology Company Limited Beijing100010 China

ISBN: (纸本)9781510663350

Lost circulation during drilling wells is very detrimental since it greatly increases the non-productive time and operational cost, also seriously lead to wellbore instability, pipe sticking, blow out, etc... However, in the process of drilling wells, geological characteristics and operational drilling parameters all may have impacts to the lost circulation. This makes the establishment of the relations between the lost circulation and drilling factors very challenging. In this paper, we tested five different kernel function (linear, quadratic, cubic, medium Gaussian and fine Gaussian) derived support vector regression (SVr) models and four-layer artificial neural network (ANN). By combining their accuracy and time efficiency, the ANN is regarded as the optimal predictor of lost circulation. By training ANN using different combination of drilling features, we concluded that depth, torque, hanging weight, displacement, entrance density and export density are the key factors to accurate predict the lost circulation. The corresponding trained ANN network can achieve 99.2% accuracy and evaluate whether a drilling feature vector corresponds to lost circulation or not in milliseconds. © 2023 SPIE.

关键词： Multilayer neural networks

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Controllable synthesis of argentum decorated CuO_(x)@CeO_(2) catalyst and its highly efficient performance for soot oxidation

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Journal of rare Earths 2022年第10期40卷 1546-1553页

作者： Jie Wan Yanjun Liu Yuanyuan Zhou Han Liu Gongde Wu Jianfei Kan Min Li duan Weng Xiaodong Wu Energy Research Institute Nanjing Institute of TechnologyNanjing 211167China Key Laboratory of Advanced Materials of Ministry of Education School of Materials Science and EngineeringTsinghua UniversityBejing 100084China School of Civil Engineering Southeast UniversityNanjing 211189China State Key Laboratory of Digital Household Appliances Haier Group Technique R&D CenterQingdao 266100China

In this paper,CuO_(x)@Ag/CeO_(2) catalysts were synthesized by simple wet-chemical method and equal volume impregnation *** obtained catalysts were subjected to soot temperature programmed oxidation(soot-TPO)activity tests and were further characterized by various techniques such as X-ray diffraction(Xrd),transmission electron microscopy/high-resolution transmission electron microscopy(TEM/Hr-TEM),N_(2) physisorption,X-ray photoelectron spectroscopy(XPS)and H_(2)-temperature programmed reduction(H_(2)-TPr).The results show that CuO_(x)@Ag/CeO_(2) synthesized presents well controlled core-shell structures,with nano-cube like Cu_(2)O as the core and Ag decorated polycrystalline CeO_(2) grafting layers as the *** core-shell structured CuO_(x)@Ag/CeO_(2) can successfully construct a secondary oxygen delivery channel(CuO_(x)→CeO_(2)→Ag)to effectively transfer bulk oxygen of the catalyst to the soot,resulting in its excellent soot oxidation activity compared to CuO_(x)@CeO_(2).The potential benefiting effect by Ag introduction over Cu@Ag/Ce can be concluded as:(ⅰ)pumping lattice oxygen and accelerating gaseous O_(2) dissociation to generate significantly increased active surface oxygen content;(ⅱ)modulating a moderate surface oxygen vacancies concentration to maintain more highly active O_(2) species.

关键词： Soot oxidation CuO_(x) Ag/CeO_(2) Controllable synthesis Active oxygen species rare earths

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A Comprehensive Simulation Study on Cu Trace damage and Cu/Polyimide Interface delamination of rdLs in Fan-Out Wafer Level Package Under Hygro-Thermo-Mechanical Loads

A Comprehensive Simulation Study on Cu Trace Damage and Cu/P...

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Electronics Packaging technology Conference (EPTC)

作者： Ming-Sheng Luo Guang-Chao Lyu Jia-Wei deng Xin-Ping Zhang School of Materials Science and Engineering Guangzhou China Guangdong Provincial Engineering Technology R&D Center of Electronic Packaging Materials and Reliability South China University of Technology Guangzhou China

ISBN: (数字)9798331522001

ISBN: (纸本)9798331522018

The current study investigates the influence of moisture on the delamination of Cu/Polyimide (PI) interfaces and cracking of Cu traces within the redistribution layers (rdLs) of fan-out wafer level packages (FOWLPs) containing two dies during the reflow process, utilizing finite element simulation. The crack initiation and the delamination behavior of Cu/PI interfaces are analyzed using the cohesive zone model (CZM) based on interface fracture mechanics. The influences of the number of rdL layers and thickness of Cu traces on interface damage and trace stress concentration are also studied. The findings indicate that crack formation and delamination of interfaces are most likely to occur at the edge of the interface between the top layer of Cu trace and the polyimide in die-to-die (d2d) region. The presence of hygro-swelling stress exacerbates interfacial damage. Moreover, the degradation of the Cu/PI interface intensifies with an increase in the number of rdL layers. While Cu trace is prone to stress concentration at the junction with the pad, the impact of moisture on Cu trace stress at 260 °C is relatively small.

关键词： Semiconductor device modeling Temperature Moisture Polyimides device-to-device communication Finite element analysis delamination Junctions Stress Load modeling

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