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Design of productivity prediction model of fractured and vuggy carbonate vertical wells after fracturing 9

Design of productivity prediction model of fractured and vug...

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9th international conference on Energy Materials and Electrical Engineering, ICEMEE 2023

作者： Li, Jueqi Wang, Qing Wang, Xinqiang Hong, Zhenhua Zhang, Fan Kan, Zhengyu Qinghai Oilfield Gas Production Plant No.3 Gansu Dunhuang736202 China The 6th Gas Production Plant of Changqing Oil Field Branch of PetroChina Company Limited Shaanxi Xi'an710021 China Downhole Operation Company of Qinghai Oil Field Branch of PetroChina Company Limited Mangya Qinghai816499 China National Pipeline Network Group Shandong Branch Shandong Jinan250000 China Tianjin Huizhu Petroleum Equipment Technology Co. Ltd. Tianjin300350 China

ISBN: (纸本)9781510672765

Fracture-vuggy carbonate reservoir has a unique reservoir structure. It is difficult to form effective seepage channels when natural fractures are not developed, resulting in low natural productivity of oil Wells. therefore, artificial hydraulic fracturing is needed for reservoir reconstruction. the oil well control area is divided into four seepage zones, namely, fractured fracture zone, reformed zone, natural fissure-cave zone and unreformed zone. According to the different control zones, based on Darcy's law and seepage mechanics theory, and considering the influence of starting pressure gradient, the post-fractured productivity prediction model of fracture-cave carbonate vertical well is derived, and the model is applied to the actual reservoir. the results show that the error between the calculated value and the actual value is small, which indicates that the productivity prediction model is scientific and accurate. through sensitivity analysis, it can be found that starting pressure gradient, fracturing fracture conductivity, reconstruction zone width, matrix and natural fracture permeability all have an impact on oil well productivity. Among them, starting pressure gradient is inversely proportional to oil well productivity, while fracturing fracture conductivity, reconstruction zone width, matrix and natural fracture permeability are positively proportional to oil well productivity. the effect of natural fracture permeability is greater than that of matrix permeability. the research results provide a reference for post-fracturing productivity prediction and fracturing effect evaluation of fracture-cavity vertical carbonate Wells. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Carbonates Permeability Matrices Analytical research Design and modelling Error analysis Mechanics Viscosity Elasticity systems modeling

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6th international Workshop on Mental Health and Well-being: Sensing and Intervention 21

6<i>th</i> International Workshop on Mental Health and Well-...

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ACM international Joint conference on Pervasive and Ubiquitous computing (UbiComp) / ACM international Symposium on Wearable Computers (ISWC)

作者： Mishra, Varun Sano, Akane Kunchay, Sahiti Abdullah, Saeed Bardram, Jakob E. Murnane, Elizabeth L. Choudhury, Tanzeem Musolesi, Mirco Vilaza, Giovanna Nunes Nandakumar, Rajalakshmi Rahman, Tauhidur Dartmouth Coll Hanover NH 03755 USA Rice Univ Houston TX 77251 USA Penn State Univ University Pk PA 16802 USA Tech Univ Denmark Lyngby Denmark Cornell Univ Ithaca NY 14853 USA UCL London England Cornell Tech New York NY USA Univ Massachusetts Amherst MA 01003 USA

ISBN: (纸本)9781450384612

Mental health issues affect a significant portion of the world's population and can result in debilitating and life-threatening outcomes. To address this increasingly pressing healthcare challenge, there is a need to research novel approaches for early detection and prevention. Toward this, ubiquitous systems can play a central role in revealing and tracking clinically relevant behaviors, contexts, and symptoms. Further, such systems can passively detect relapse onset and enable the opportune delivery of effective intervention strategies. However, despite their clear potential, the uptake of ubiquitous technologies into clinical mental healthcare is slow, and a number of challenges still face the overall efficacy of such technology based solutions. the goal of this workshop is to bring together researchers interested in identifying, articulating, and addressing such issues and opportunities. Following the success of this workshop for the last five years, we aim to continue facilitating the UbiComp community in developing a holistic approach for sensing and intervention in the context of mental health.

关键词： Mental Health Mobile Sensing mHealth Predictive Modeling Behavioral Intervention

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7th international conference on Frontiers of Intelligent computing: theory and Applications, FICTA 2018

7th International Conference on Frontiers of Intelligent Com...

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7th international conference on Frontiers of Intelligent computing: theory and Applications, FICTA 2018

ISBN: (纸本)9789813291850

the proceedings contain 72 papers. the special focus in this conference is on Frontiers of Intelligent computing: theory and Applications. the topics include: An Efficient Privacy-Preserving Search Technique for Encrypted Cloud Data;optimal Path Selection in Wireless Sensor Networks Using Enhanced Spatial Reusability;Application of Classical Codes over GF(4) on Quantum Error Correction Codes;Improved GLIM in Multiple-Input Multiple-Output OFDM VLC;design and Implementation of an IoT-Based Water Purifier System Enabling Predictive Maintenance;grey Wolf Optimized Task Scheduling Algorithm in Cloud computing;adaptive Feature Selection and Classification Using Optimization Technique;how to Fairly Allocate Indivisible Resources Among Agents Having Lexicographic Subadditive Utilities;a Novel Approach of Ontology-Based Activity Segmentation and Recognition Using Pattern Discovery in Multi-resident Homes;colorectal Cancer Diagnosis with Complex Fuzzy Inference System;a Machine Learning Approach for Hot Topic Detection in News;a Proposal of Expert System Using Deep Learning Neural Networks and Fuzzy Rules for Diagnosing Heart Disease;Development of the Rules for Model Transformation with OCL Integration in UWE;nonintrusive Load Monitoring algorithms: A Comparative Study;craftQuest—Mobile App for Collecting Craft Village Data;tracking Big5 Traits Based on Mobile User Log Data;prediction of Factors Associated with the Dropout Rates of Primary to High School Students in India Using Data Mining Tools;domain-Specific Versus General-Purpose Word Representations in Sentiment Analysis for Deep Learning Models;improvement of Machine Learning Method by Combining Flow Text and Layout Text in Extracting Information from Scanned Healthcare Documents;assessing the Learning Difficulty of Text-Based Learning Materials;watermark by Learning Non-saliency.

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Noma Based Full Duplex 6G Communication systems

Noma Based Full Duplex 6G Communication Systems

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international conference on Contemporary computing and Informatics (IC3I)

作者： Asha Sohal Sandeep Sharma Sweta Agarwal N. V. Balaji D. Bhanu Mandar Krishnarao Mokashi Department of Computer Science & Engineering School of Engineering & Technology K. R. Mangalam University Gurugram India School of Electronic and Electrical Engineering Dev Bhoomi Uttarakhand University Uttarakhand India Department of Electronics Invertis University Bareilly India Department of Computer Science Karpagam Academy of Higher Education Coimbatore India Department of Information Technology Karpagam Institute of Technology Coimbatore India Vishwakarma Institute of Information Technology Pune India

Current wireless communications use the microwave band as its medium. Present-day wireless network makes use of the majority of the available spectrum. the word innovative Full-Duplex (FD) as well as the use Getting NOMA sharing scheme called Reflecting In-Band Full-Duplex (R-IBFD) is suggested in which piece in order to advance technology and meet the requirements of better utilizing these natural assets. In order to meet the needs of smart cities for 6th Generations (6thG or 6G), the suggested R-IBFD offers efsfective use of airwaves with superior system characteristics, including Concealment Outage Potential (SOP), efficiency, communication percentage, and secrets capacity. the suggested method aims to address the need for innovative algorithms which foster better transformation and usher with a digital shift in business specifications for 6G. Addressing suggested R-IBFD within this research primarily responds to the phenomenon of interference between channels related security issues. Most interference from co-channels experienced by In-Band Full-Duplex type devices experience among their individual communicating and reception antennas is greater. the use of R-IBFD lessens the impact of this disturbance and helps to secure a necessary transmission infrastructure. Using the aid of SOP creation, formulas, and modeling outcome, simulation, the rise of concealment capability and interaction using R-IBFD are explored for an improved comprehension of its contributions. Among of the many evaluation technologies being utilized to increase the concealing capabilities is an artificial algorithm based on genes.

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Worst-Case Execution Time Analysis of Real-Time Robotic algorithms Using Reinforcement Learning

Worst-Case Execution Time Analysis of Real-Time Robotic Algo...

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Collaborative Advances in Software and computing (CASCON), international conference on

作者： Arvin Samiei Nafiseh Kahani Mohammadreza Dehghanitafti Mojtaba Ahmadi Systems and Computer Engineering Carleton University Canada Mechanical and Aerospace Engineering Carleton University Canada

ISBN: (数字)9798331504830

ISBN: (纸本)9798331515621

this study investigates the application of Reinforce-ment Learning (RL) for estimating the Worst-Case Execution Time (WCET) of real-time robotic algorithms, crucial for ensuring reliable robotic navigation and interaction. the research eval-uates these computational techniques through two industrial case studies: (1) collision detection among two mobile cylinders and a stationary box; and (2) a six-degree-of-freedom (6-DOF) robotic model executing complex tasks. By leveraging RL, the study explores extensive input spaces to identify scenarios approaching the WCET within a controlled simulation environment. through an experimental evaluation, we compare RL against Genetic algorithms (GA) and random search approaches. the results demonstrate that RL outperforms both GA and random search. this research highlights the potential of RL to provide more accurate and reliable W CET estimations, thereby enhancing the safety and efficiency of real-time robotic systems.

关键词： Machine learning algorithms Service robots Software algorithms Estimation Real-time systems 6-DOF Space exploration Reliability Collision avoidance Genetic algorithms

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proceedings - 26th Pan-Hellenic conference on Informatics, PCI 2022

Proceedings - 26th Pan-Hellenic Conference on Informatics, P...

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26th Pan-Hellenic conference on Informatics, PCI 2022

ISBN: (纸本)9781450398541

the proceedings contain 63 papers. the topics discussed include: performance benchmarking of visual human tracking algorithms for UAVs;community detection at scale: a comparison study among Apache spark and Neo4j;security operations center in education: building an educational environment for attack and defense scenarios;smart business processing in industry 4.0;a survey on vulnerability prediction using GNNs;design for smart home devices: an exploratory eye-tracking study;intelligent emergency evacuation systems for buildings;better solutions for the thesis defense timetabling problem using a three-phase approach;self-adaptive privacy in cloud computing: an overview under an interdisciplinary spectrum;evaluation of the relationship between the smart packaging technology and disability in Greece;an exact based approach for the post enrollment course timetabling problem;and a neuro-symbolic approach for fault diagnosis in smart power grids.

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2020 6th international conference on Electric Power and Energy Conversion systems (EPECS 2020)

2020 6th International Conference on Electric Power and Ener...

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international conference on Electric Power and Energy Conversion systems (EPECS)

Presents the front cover or splash screen of the proceedings record.

ISBN: (数字)9781728175461

ISBN: (纸本)9781728175478

Presents the front cover or splash screen of the proceedings record.

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6th international conference on Material Science and Smart Materials, MSSM 2019

6th International Conference on Material Science and Smart M...

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6th international conference on Material Science and Smart Materials, MSSM 2019

ISBN: (纸本)9783035715774

the proceedings contain 20 papers. the special focus in this conference is on Material Science and Smart Materials. the topics include: Structural analysis of sputtered sc(X)al(1-x)n layers for sensor applications;effect of electron beam irradiation on the rheological properties and phase transition temperature of poly(N-vinylcaprolactam);mechanical and microstructural analysis of an ultra-flexible nano-silver paste sintered joint;effect of perforations on resonant modes of flat circular plates;isomorphous substitutions in luminescent materials based on scvo4;monitoring of extracellular matrix protein conformations in the presence of biomimetic bone tissue regeneration scaffolds;fluorite-like neodymium molybdates doped with lead;novel composite membranes based on polyaniline /ionic liquids for pem fuel cells applications;preparation and properties of co/fe multilayers and cofe alloy films for application in magnetic field sensors;analysis of thermoelastic damping of functionally graded material micro plate based on the mindlin plate theory;three-disperse magnetorheological fluids based on ferrofluids: Induced modification of sedimentation by addition of nanoparticles;performance evaluation of a novel hydrophobic membrane used in a desalination system: A comparison between static and moving configurations;correlating structure and electrical properties in rotary swaged al/cu clad composites;effect of swaging temperature on deformation behaviour of w93ni6co1 tungsten heavy alloy;the photoelectric behavior and antimicrobial effect of titanium dioxide deposition for dental implants;kinetics study of the digestion of magnesium chloride dihydrate in a molten salt electrolyte;material based fault detection methods for pv systems.

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Privacy-Preserving Average Consensus for Multi-Agent System with Event-Triggered Method

Privacy-Preserving Average Consensus for Multi-Agent System ...

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Pattern Recognition and Artificial Intelligence (PRAI), international conference on

作者： Shuyu Shi Xinyang Cao Qingmiao Zhang International Department Chengdu Foreign Languages School Chengdu China

the paper considers the privacy-preserving and communication constraints for multi-agent systems. Firstly, a lightweight, decentralized, time-varying transformation method is introduced to prevent information leakage during information exchange between agents. this approach requires less computation and is compatible with systems with limited computing resources. Secondly, the paper proposes an event-triggered mechanism that considers both privacy-preserving and communication constraints to avoid continuous updates of the privacy-preserving controller. By using intermittent communication mode, this approach effectively reduces computing and communication resources compared to traditional time-triggered methods. Overall, these methods offer efficient solutions for privacy and communication challenges in multi-agent systems. the finite-time privacy-preserving control protocol is validated through numerical simulation examples to demonstrate its effectiveness.

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26th international European conference on Parallel and Distributed computing, Euro-Par 2020

26th International European Conference on Parallel and Distr...

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26th international European conference on Parallel and Distributed computing, Euro-Par 2020

ISBN: (纸本)9783030576745

the proceedings contain 39 papers. the special focus in this conference is on Parallel and Distributed computing. the topics include: A makespan lower bound for the tiled cholesky factorization based on ALAP schedule;preface;skipping non-essential instructions makes data-dependence profiling faster;Optimal GPU-CPU offloading strategies for deep neural network training;improving mapping for sparse direct solvers: A trade-off between data locality and load balancing;modelling standard and randomized slimmed folded clos networks;ompMemOpt: Optimized memory movement for heterogeneous computing;Accelerating deep learning inference with cross-layer data reuse on GPUs;Distributed fine-grained traffic speed prediction for large-scale transportation networks based on automatic LSTM customization and sharing;Optimizing FFT-based convolution on ARMv8 multi-core CPUs;maximizing I/O bandwidth for reverse time migration on heterogeneous large-scale systems;TorqueDB: Distributed querying of time-series data from edge-local storage;data-centric distributed computing on networks of mobile devices;a toolchain to verify the parallelization of OmpSs-2 applications;WPSP: A multi-correlated weighted policy for VM selection and migration for cloud computing;LCP-aware parallel string sorting;Mobile RAM and shape formation by programmable particles;approximation algorithm for estimating distances in distributed virtual environments;on the power of randomization in distributed algorithms in dynamic networks with adaptive adversaries;3D coded SUMMA: Communication-efficient and robust parallel matrix multiplication;managing failures in task-based parallel workflows in distributed computing environments;accelerating nested data parallelism: Preserving regularity;using dynamic broadcasts to improve task-based runtime performances;a compression-based design for higher throughput in a lock-free hash map;NV-PhTM: An efficient phase-based transactional system for non-volatile memory.

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