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Real-time monitoring and analysis of hydraulic fracturing in surface well using microseismic technology:Case insights and methodological advances

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International Journal of Mining science and technology 2025年第4期35卷 619-638页

作者： Yanan Qian Ting Liu Cheng Zhai Hongda Wen Yuebing Zhang Menghao Zheng Hexiang Xu Dongyong Xing Xinke Gan State Key Laboratory of Coal Mine Disaster Prevention and Control China University of Mining and TechnologyXuzhou 221116China Yunlong Lake Laboratory of Deep Underground Science and Engineering Xuzhou 221003China Key Laboratory of Theory and Technology on Coal and Rock Dynamic Disaster Prevention and Control National Mine Safety AdministrationChina University of Mining and TechnologyXuzhou 221116China School of Safety Engineering China University of Mining and TechnologyXuzhou 221116China School of Emergency Management Chengdu UniversityChengdu 610106China School of Safety Science and Engineering Anhui University of Science and TechnologyHuainan 232001China Xinjiang Yaxin Coalbed Methane 156 Exploration Co. Ltd.Urumqi 841100China

Through a case analysis,this study examines the spatiotemporal evolution of microseismic(MS)events,energy characteristics,volumetric features,and fracture network development in surface well hydraulic fracturing.A total of 349 MS events were analyzed across different fracturing sections,revealing significant heterogeneity in fracture *** scanning results showed that cumulative energy values ranged from 240 to 1060 J across the sections,indicating notable *** reservoir volume(SRV)analysis demonstrated well-developed fracture networks in certain sections,with a total SRV exceeding 1540000 m^(3).The hydraulic fracture network analysis revealed that during the midfracturing stage,the density and spatial extent of MS events significantly increased,indicating rapid fracture propagation and the formation of complex *** the later stage,the number of secondary fractures near fracture edges decreased,and the fracture network *** comparing the branching index,fracture length,width,height,and SRV values across different fracturing sections,Sections No.1 and No.8 showed the best performance,with high MS event densities,extensive fracture networks,and significant energy ***,Sections No.4 and No.5 exhibited sparse MS activity and poor fracture connectivity,indicating suboptimal stimulation effectiveness.

关键词： Hydraulic fracturing Microseismic Source location Energy scanning Fracture network

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Point Cloud and Near-Infrared Composite Imaging Simulation of Ground Target for Uav-Based Line Array Imaging Model

SSRN

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SSRN 2024年

作者： Wang, Weihan Gao, Mingze Shi, Xiaolong Hu, Shiyuan Wang, Fengjie Wu, Yanjiang Chen, Huimin Science and Technology on Electromechanical Dynamic Control Laboratory Beijing Institute of Technology Beijing100081 China Shanghai Radio Equipment Research Institute Shanghai201109 China

A simulation model is proposed for the UAV-based line array laser and line array near-infrared (NIR) compound imaging to solve the difficulty in obtaining data. Based on laser emission direction vector clusters and array unit echo power, a point cloud generation model is constructed. Solar radiation intensity in NIR band on the ground is calculated according to solar parameters and atmospheric transmittance. Line array NIR grayscale images are obtained by using theoretical model of NIR imaging system. Utilizing motion model of UAV platform, methods for stitch and line array synchronous scanning are proposed to obtain point cloud and NIR images, which contain comprehensive target information. Intrinsic matrix and extrinsic matrix are determined by geometric relationship and imaging principle. Established two types of composite image datasets: one for flat-field scanning and one for distortion. According to the real data obtained from equivalent experiments, the accuracy of simulated data is evaluated. The simulation accuracy of point cloud is 85 %, and the accuracy of NIR image is 92.5 %. The relative error of distortion effect simulation is 7.4 %. The results show that the model can correctly simulate the process of the UAV-based line array laser and line array NIR composite imaging, and the data obtained by simulation have high reliability. © 2024, The Authors. All rights reserved.

关键词： Infrared devices

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Research on Stability control of Distributed Drive Vehicles Under the Influence of Rough Road Surface 8th

Research on Stability Control of Distributed Drive Vehicles ...

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8th International Conference on Computing, control and Industrial Engineering, CCIE 2024

作者： Zhang, Yifan Li, Qing Zhang, Hao Fu, Guodong Beijing Key Laboratory of High Dynamic Navigation Technology Beijing100192 China Ministry of Education Key Laboratory of Modern Measurement & Control Technology Beijing100101 China School of Automation Beijing Information Science & Technology University Beijing100192 China

ISBN: (纸本)9789819769339

To improve the stability control capability of distributed electric drive vehicles on rough road surfaces, a hierarchical stability control strategy that considers road interference is proposed. In the upper-level controller, a new rollover energy stability index based on the energy method is designed. An enhanced sliding mode controller is employed to simultaneously control the yaw rate and the center-of-mass side slip angle as the control objectives. The sliding mode theory determines the additional yaw moment required for maintaining vehicle stability under road disturbances. The lower-level controller designs an optimal torque distribution strategy to allocate the yaw torque output, generated by the upper-level controller, to each wheel for achieving vehicle stability control. Joint simulations are conducted using CARSIM and MATLAB/Simulink to perform simulation experiments. The results demonstrate that this control method effectively enhances the stable steering control of distributed electric drive vehicles on rough roads, reduces the risk of vehicle sideslip and rollover during steering, and improves driving safety. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Level control

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Fault-tolerant control against actuator faults based on extended state observer for quadrotor UAV 3

Fault-tolerant control against actuator faults based on exte...

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2024 3rd International Conference on Energy Utilization and Automation, ICEUA 2024

作者： Liu, Jiali Li, Qing School of Automation Beijing Information Science and Technology University Beijing100192 China Beijing Key Laboratory of High Dynamic Navigation Technology Beijing100192 China Ministry of Education Key Laboratory of Modern Measurement and Control Technology Beijing100192 China

A model predictive control (MPC) strategy is devised to handle the issue of multi-actuators partial failure faults of quadrotor vehicles. Firstly, considering a quadrotor system with actuator partial failure faults and unknown disturbances, the quadrotor dynamics model is analyzed and established. Then, the MPC attitude fault-tolerant controller is devised to transform the issue of controlling the attitude angle of a quadrotor into a quadratic programming solution problem, and the extended state observer (ESO) is devised to evaluate the faults and perturbations, which highly and greatly improves the system's suppression capability against disturbances. Finally, numerical simulation experiments demonstrate the scheme's fault-tolerance to actuator faults and its ability to suppress unknown perturbations, while the results of semi-physical simulation experiments also prove that the method is effective and feasible. © Published under licence by IOP Publishing Ltd.

关键词： Model predictive control

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LK-ORB-SLAM3: An RGB-D Visual SLAM Algorithm Fusing Optical Flow Tracking and Feature Matching 7

LK-ORB-SLAM3: An RGB-D Visual SLAM Algorithm Fusing Optical ...

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7th International Conference on Robotics, control and Automation Engineering, RCAE 2024

作者： Dai, Juan Sun, Shengqiang Liu, Jingwei Su, Zhong Beijing Key Laboratory of High Dynamic Navigation Technology Beijing100192 China Ministry of Education Key Laboratory of Modern Measurement & Control Technology Beijing100101 China Beijing Information Science & Technology University School of Automation Beijing100192 China

ISBN: (纸本)9798350355642

In response to the issue of poor real-time performance caused by the large computational load of feature-based methods, this paper proposed an RGB-D visual SLAM algorithm which integrates optical flow and feature-based methods. This algorithm combined optical flow with the feature-based method, effectively improving the real-time performance of the algorithm while maintaining high precision. Firstly, keyframes are matched using feature-based methods, and camera motion is computed by minimizing the reprojection error. For non-keyframes, keypoints are extracted without computing descriptors and tracked using the optical flow pyramid, and pose estimation is achieved by minimizing the photometric error. Secondly, a dual mechanism based on time and space is employed to execute keyframes insertion which ensures tracking stability. Additionally, an adaptive threshold algorithm is proposed to enhance tracking robustness in low-light environments. Experimental results on the TUM dataset indicated that, with comparable average localization accuracy, the proposed algorithm reduces average tracking cost by 37.19%, achieving real-time frame rates of up to 45 fps on mid-to-low-performance CPUs. © 2024 IEEE.

关键词： Real time systems

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Motor Bearing Fault Diagnosis Method Based on Gramian Angle Field Image Coding and CNN-SVM

Motor Bearing Fault Diagnosis Method Based on Gramian Angle ...

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UNIfied Conference of International Workshop on Defence Applications of Multi-Agent Systems, DAMAS 2023, International Conference on Maintenance Engineering, IncoME-V 2023, International conference on the Efficiency and Performance Engineering Network, TEPEN 2023

作者： Zhang, Chao Wu, Le Fei, Hongbo School of Mechanical Engineering Inner Mongolia University of Science and Technology Baotou014010 China Inner Mongolia Key Laboratory for Intelligent Diagnosis and Control of Electromechanical Systems Baotou014010 China

ISBN: (纸本)9783031494123

The most common failure in motors is bearing failure. Traditional fault diagnosis methods require manual feature extraction, which has a high level of uncertainty and complexity. This article proposes a motor bearing fault diagnostic method based on Gramian angular field image encoding and CNN-SVM. The method consists of three stages: Firstly, the original vibration signals of the motor bearing are transformed into two-dimensional images using Gramian angular field image encoding. Next, an enhanced CNN model is employed to accurately and quickly identify the elements in the images. Finally, a Support Vector Machine (SVM) is used as the final classifier to further improve the accuracy and speed of fault classification. In the experimental design, the proposed model is validated and analyzed using a bearing fault dataset from Case Western Reserve University. The results demonstrate the feasibility and superiority of this method, providing a theoretical basis for guiding bearing maintenance decisions. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Support vector machines

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Remaining Life Prediction Method for Rolling Bearings Based on RLMD-SCINet

Remaining Life Prediction Method for Rolling Bearings Based ...

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TEPEN International Workshop on Fault Diagnostics and Prognostics, TEPEN-IWFDP 2024

作者： Zhang, Jing Zhang, Chao Xu, Shuai Wu, Le Fei, Hongbo College of Mechanical Engineering Inner Mongolia University of Science and Technology Baotou014010 China Inner Mongolia Key Laboratory for Intelligent Diagnosis and Control of Electromechanical Systems Baotou014010 China

ISBN: (纸本)9783031702341

In order to address the problem that existing deep learning methods are not sufficient for feature mining, which leads to low prediction accuracy, a remaining life prediction method combining robust locally mean decomposition with sample convolutional interaction network is proposed. Firstly, the Root Mean Square (RMS) is extracted from the bearing vibration signals as a health indicator reflecting the overall degradation performance of the bearings, and then the health indicators are decomposed by the Robust Locally Mean Decomposition (RLMD) so as to explore the potential information inside them, and then the decomposed components of the health indicators are imported into the SCINet network model for the prediction of the lifespan. Finally, the validation is carried out on the public dataset PHM2012 dataset and compared with the Long Short-Term Memory Network (LSTM) and Temporal Convolutional Network (TCN) models. The experimental results show that the proposed method can fully exploit the potential characteristics of bearings and effectively improve the accuracy of bearing remaining life prediction. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Electronic health record

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TEPEN International Workshop on Fault Diagnostics and Prognostics, TEPEN-IWFDP 2024

作者： Xu, Shuai Zhang, Chao Zhang, Jing Fei, Hongbo Wu, Le College of Mechanical Engineering Inner Mongolia University of Science and Technology Baotou014010 China Inner Mongolia Key Laboratory for Intelligent Diagnosis and Control of Electromechanical Systems Baotou014010 China

ISBN: (纸本)9783031702341

To solve the problem of low prediction accuracy of the traditional similarity matching method, a similarity matching remaining life prediction method combining monotonicity and Spearman correlation is proposed. Firstly, monotonicity is used to screen the time domain and frequency domain features of the bearings, and then Spearman correlation is used to extract the nonlinear relationship of the screened features. Next, the extracted features are fused using principal component analysis to construct the health indexes that characterize the degradation trend of the bearings. An autoregressive moving model is then used to construct a similarity model, in which the Manhattan distance is used to measure the degree of similarity between the two curves and to make the remaining life estimation. Finally, the validation is carried out on the public dataset PHM2012 dataset and compared with Poly2 and Exp1. The experimental results show that the proposed method can effectively improve the remaining life prediction accuracy, which proves the effectiveness and superiority of the proposed method. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Prediction models

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The Slippage Model of Outer Ring Faults in Deep Groove Ball Bearings Induced by Impact Forces Under Load

The Slippage Model of Outer Ring Faults in Deep Groove Ball ...

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TEPEN International Workshop on Fault Diagnostics and Prognostics, TEPEN-IWFDP 2024

作者： Wu, Yangbiao Zhang, Chao Liu, Guiyi Wu, Le Ouyang, Bing Qin, Feifan School of Mechanical Engineering Inner Mongolia University of Science and Technology Baotou014010 China Key Laboratory of Intelligent Diagnosis and Control of Electromechanical Systems in Inner Mongolia Autonomous Region Baotou014010 China

ISBN: (纸本)9783031734069

The study of fault mechanisms plays a crucial role in the field of fault diagnosis. The phenomenon of rolling element slippage is inevitable. In order to more accurately describe the phenomenon of rolling element slippage in the defective area, this paper employs the instantaneous center method and the theorem of three centers to represent the centerline velocity of the rolling element. Due to the change in linear velocity when the rolling element slips, the magnitude of the impact force is calculated according to the principle of collision. Finally, focusing on deep groove ball bearings as the research object, a fault dynamic model is established to simulate the slippage of the rolling element after being subjected to impact force in the defective area. The model is solved using the fourth-order Runge-Kutta method, and the results are simulated. Through experimental simulation analysis, the fault characteristic frequencies obtained from the proposed model are compared with theoretical values, with errors falling within the range of 1 to 2 Hz. Therefore, this provides preliminary validation of the correctness of the proposed model. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Deep groove ball bearings

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A Multi-Layer Frequency Selective Surface with Broad Bandpass and High Selectivity

A Multi-Layer Frequency Selective Surface with Broad Bandpas...

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IEEE International Conference on Computational Electromagnetics (ICCEM)

作者： Ruicheng Gao Shuai Wen Yongyan Mao Lige Bi School of Electronic Engineering Xidian University Xian China Science and Technology on Electromechanical Dynamic Control Laboratory China Electronic Engineering Research Institute Xian China

ISBN: (数字)9798350383317

ISBN: (纸本)9798350383324

A novel broadband bandpass Frequency Selective Surface (FSS) is designed with the intention of surpassing the performance of previous designs. Through the utilization of cascading multilayers of capacitive patches and inductive grids, this design achieves our goal of wide bandwidth as well as high selectivity, while maintaining an acceptable thickness. The stimulated results exhibit a broad passband width, ranging from 12.5 GHz to 18.2 GHz, as well as steep out-of-band attenuation with a transitional zone of less than 1 GHz.

关键词： Frequency selective surfaces Sensitivity Noise Bandwidth Interference Nonhomogeneous media Broadband communication

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