bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research of Active Disturbance Rejection Controller Design for PMSM Servo System
Authors: Hongliang Yan , Jiapeng Li , Leiming Li , Juju Ma 
Published: May 2021

Abstract
In the permanent magnet synchronous motor (PMSM) speed control system, an improved active disturbance rejection control strategy with higher tracking accuracy for time-varying input is proposed. The traditional active disturbance rejection controller is mainly used for fast and static-free tracking of step signals, but there is a large tracking error for time-varying signals, which limits the application of active disturbance rejection controller. In this paper, the theoretical analysis of the existence of steady-state error is carried out, and then an improved speed active disturbance rejection controller (ADRC) with derivative feedforward and parallel linear extended state observer(P-LESO) is designed to reduce the tracking error of the system. In order to observe and compensate the reverse electromotive force in real time and reduce the current following error, a current loop linear active disturbance rejection controller is designed. By constructing Simulink simulation model for verification, the control system not only improves the tracking accuracy of PMSM for time-varying input, but also has a good dynamic performance for step input.
An intelligent dynamic analysis system for oil and gas reservoirs based on custom components
Authors: Haoyu Zhang , Zhigao Mao , Ying Ning 
Published: May 2021

Abstract
This paper introduces an intelligent dynamic analysis system of reservoir with components. The system has 6 modules: production early warning, report analysis, single well dynamic analysis, injection-production well group dynamic analysis, reservoir dynamic analysis, and intelligent knowledge base. The system data comes from the production data lake, monitors the production status of the reservoir in real time, and USES the conventional production warning and big data analysis warning to report the warning to users. Researchers can use the system’s three-stage dynamic analysis module to process and resolve the corresponding warning information to maintain the normal production of the field. The system adopts component development, divides the commonly used algorithms and drawings for reservoir dynamic analysis into three categories of components. Each component can be independently applied to a specific scenario by connecting to the database. Through the configuration of free page XML, each component can quickly form different analysis scenarios in an adaptive way, so as to meet the complex and changeable requirements of reservoir geology and production, and better help oil field enterprises to reduce cost and increase efficiency.
The Research and Implementation Transmission Line Tower Rod and Monitoring System Using Reverse Network RTK Technology
Authors: Jin Yi , Wang Wei , Pei Ling , Chen Xin , Song Bao 
Published: May 2021

Abstract
In order to solve the problems of low monitoring accuracy, high false alarm rate, untimely pre-warning and high equipment failure rate of the transmission line tower rod oblique posture monitoring system, a transmission line tower rod oblique monitoring system based on reverse network RTK was developed. The system integrated the Beidou multi-source sensor, network communication and prediction and forewarning, used the height and millimeter level position information of the transmission line tower to measure and calculate oblique posture information of the tower pole, and made risk assessments, so as to realize the control of these information. The actual tests results showed that the monitoring system could accurately obtain the oblique posture information of the transmission line tower pole, and the pre-alarming monitoring results met the requirements of intelligent, accurate and digital management of transmission line tower pole.
Study on oil and suspension solid removal from oil field wasted water by sedimentation
Authors: Wang Yan , Cao Baihan , Reifsnyder Sam , Gao Sheng , Rosso Diego 
Published: May 2021

Abstract
In order to remove oil and suspended solid in oilfield wastewater, Takacs model was improved and applied to the simulation of oil floating, the parameters of oil coagulation velocity were added. By this model, the accurate oil floating model and sludge sedimentation model were established. On the basis of this model, the experimental verification was carried out by the sample from the wasted water station. By the response surface method, the influence of flow rate, treatment fluid concentration and settling time and their interaction on oil removal rate and suspension removal rate were studied, and the important influence of time factor was determined. According to the pollution degree of oil field wasted water, based on the theory and experimental method of this paper, the treatment capacity and settling time of oil field wasted water could be optimized, which provides theoretical guidance for the improvement of settlement device and the industrial application in the oilfield.
A Study of the Lyapunov Stability of an Self-Excited Induction Generator
Authors: Li Haitao , Peng Xuehu , Zhang Meiyan , Chen Lili 
Published: May 2021

Abstract
The self-excited induction generators (SEIGs) can provide attractive renewable energy sources. Since it can be used in an open-loop fashion which includes no control closed-loop, its inherent stability can be counted on to allow operation over a wide range of operating conditions. Unlike classical arguments based on transient and steady-state analysis, it is proposed rigorous holistic analytical stability arguments based on the full nonlinear transient state-space model of a SEIG under two-phase stationary reference frame using dynamical systems theory. The conditions for critical transient stability of the unloaded SEIG are obtained in the sense of Lyapunov. Analytic formulas from the limit cycle conditions give the values of the range of capacitance, the range of rotor speed and the stator frequency for self-excitation. Analytic formulas from steady-state conditions give all the steady-state parameter and state values. Thus, the analytical results yield a set of simple and universal analytic formulas that can predict and evaluate the transient and steady-state stability characteristics of the SEIG. Good agreement between the experimental results and computed results validates the analytical results.
Eccentric array-based borehole transient electromagnetic system for NDT of multipipe strings in sidetrack well
Authors: Ling Yang , Ruirong Dang , Bo Dang , Rui Guo 
Published: May 2021

Abstract
In the middle and late stage of oilfield development, the sidetracking technology is widely used for restoring the production of stripper well, damaged well and abandoned well. In this paper, we present an eccentric array-based borehole transient electromagnetic (TEM) system for nondestructive testing (NDT) of multipipe strings in sidetrack well. Using the borehole TEM signal model, the response of eccentric sensor is analyzed, which contains more information in the direction of eccentricity. On this basis, multiple eccentric sensors with different depths and different angles are utilized to form an eccentric array, which can be used to determine the direction of sidetracking and to detect the multiple pipes in hanging casing strings. The performance of the proposed system was verified by applying it to sidetrack wells in Shengli oilfield. In addition, field experiments were conducted, and the results demonstrated the effectiveness of the proposed method.
Inversion method of horizontal well boundary detection based on geo-steering electromagnetic wave measuring instrument
Authors: Xie XiCao , Wu Jie 
Published: May 2021

Abstract
Based on the adaptive damping Gauss-Newton Inversion Algorithm, this paper studies the inversion method of the horizontal well boundary detection by the geo-potential electromagnetic wave measuring instrument. Based on the drilling trajectory and logging data of a real horizontal well, the simulation inversion is used to detect the position of formation boundary, and the validity of the inversion method is verified.
Optimization Method of Output Power Quality of Z-Source Inverter Based on SVPWM
Authors: Hailong Liu , Aiqing Huo , Qizhi Zhang , Hongliang Yan 
Published: May 2021

Abstract
A linear modulation of SVPWM control strategy employed in Z-source inverter is proposed in this paper. The DC bus voltage is regulated by adjusting the shoot through duty based on load. The reference voltage vectors are limited in the inscribed circle of hexagon of basic voltage vectors. Overmodulation is avoided. The linear relationship between the peak value of the output voltage and the DC bus voltage is kept in all regions. The change of system load is responded by this control strategy. The system control algorithm is simplified and the output capability of the system is enhanced. To validate its advantages, analytical, simulation, and experimental results are also presented.
Application Research on Corrosion Scanning of Coated Pressure Vessel with Ultrasonic Phased Array Inspection Technology
Authors: Daoxiang Wei , Daorui Wei , Jun Si 
Published: May 2021

Abstract
Ultrasonic testing is a commonly nondestructive testing method used in the periodic inspection of pressure vessels. The coating on the surface of the vessel should be polished before testing. In order to solve this problem, in this paper, ultrasonic phased array detection is used to detect the coating without removing the coating, and the experimental study is carried out on the painted test plate, the test results are basically the same as the actual size of defects. The results show that the application of ultrasonic phased array detection technology in the corrosion scanning of pressure vessels is feasible. It lays a foundation for the application of ultrasonic phased array detection technology in the corrosion sweep of pressure vessel insulation coating.
Experimental study on the choice of transducer resonance frequency in downhole flow measurement
Authors: Huiqin Jia , Bai Yongxin , Ruirong Dang , Liu Jingjing , Wang Chengyun 
Published: May 2021

Abstract
In the process of downhole layered oil recovery, it is necessary to measure the liquid production of each layer in real time, so as to control the oil production plan of each layer in real time according to the oil production plan. Need to use ultrasonic time difference flowmeter to measure the flow in the process of injection and production. Due to the complex and changeable downhole environment, impurities such as sand and bubbles often appear in the process of downhole flow measurement. How to choose a suitable ultrasonic transducer frequency is of great significance to the flow measurement results. At present, common transducer resonance frequencies on the market mainly include 1MHz, 500KHz, 180KHz, and 40KHz. In this paper, the attenuation characteristics of the resonant signal of the transducer in the medium containing impurities are studied through simulation and experiment. The experimental data shows that in the stratified oil recovery system, the receiving effect of the system is best when the transducer frequency is 1MHz.
Data Mining on the Influence of Capillary Force on the Productivity of CBM Wells
Authors: Bin Liu , Hongli Wang , Suian Zhang , Xiao Zhang , Qiguang Liu 
Published: May 2021

Abstract
To explore the influence of the capillary force in the coal matrix on the productivity, based on the dynamic capillary force of the gas and water phase, the high-pressure Hg injection method, the porous plate method, and the centrifuge method were used to analyze the No.3 coal seam of the Zhengzhuang block in the southern Qinshui Basin. Through the experimental analysis of 97 samples, 3 different capillary force models are proposed. Through data mining, it is found that when the displacement pressure is 1.247 MPa, the average residual water saturation of the sample is 89.21%; when the displacement pressure is 4.0 MPa, the residual saturation of 82.5% of the samples exceeds 80%. This means that the desorption process of adsorbed coalbed methane is subject to greater capillary force. If the capillary force cannot be overcome, the gas production of coalbed methane wells will be at a low level.
Prediction of narrow channel sand body by dynamic and static data
Authors: Libo Sun 
Published: May 2021

Abstract
At present, a description method has been formed for prediction of the sand body in narrow underwater distributary channel in delta inner front intrafacies. Usually, static data, such as core data and well logging data, are used to predict the sand body distribution in narrow channel. However, dynamic data are inconsistent with static data during dynamic analysis based on the description results. In this paper, a narrow channel was predicted and depicted by combining dynamic and static data, resulting in not only theoretical deduction and genetic interpretation based on static data, but also improvement and verification based on dynamic data. Thus, the geological prediction results are more compliant with the underground conditions. A method for prediction of narrow channel sand body based on dynamic and static data is formed.
Processing of the Passive Drilling-bit Ranging Signal Based on Wavelet Packet
Authors: Yang Quanzhi , Zhang Xiaobin , Yu Xiaolong , Yang Xianlun , Li Weifeng , Hou Yunyi 
Published: May 2021

Abstract
Recent technological advances have increased interest to acoustic ranging especially the passive acoustic ranging which is easier to operate in the oilfield. For analyzing the non-stationary drilling-bit signal, the conventional discrete Fourier Transform (DFT) has been known to be less efficient. A new extraction method based on wavelet packet (WP) is presented. In the signal processing, WP is used to decompose the original drilling-bit signal into the sub-frequency bands (SFBs). By analyzing energy spectrum of the SFBs, the first four SFBs are found that contain the characteristic of the drilling-bit, and the specific frequency band of the drilling-bit signal is determined after power spectrum analyzing. The field test shows that when the bit is near to the casing of the adjacent well, the reconstruction drilling-bit signal changes significantly which can give warning accurately.
Research on Weld Defect Identification with X-ray Based on Convolutional Neural Network
Authors: Zhang Long-fei , Gao Wei-xin , Wang Zheng , Wu Xiao-meng 
Published: May 2021

Abstract
In the process of X-ray weld defect detection, a deep learning network structure based on the principle of simulated visual perception is constructed. The size and number of layers of convolutional neural network template, and the influence of different activation functions, are analyzed with an improved method proposed, which may avoid the characteristic steps for the extraction of defect images, and can be used to directly determine the presence of any defect. Experiments on 200 images show that the proposed method for SDR images has an identification rate of more than 98%, which is better than other methods, and has highly practically in pipeline defect detection.
Time-varying Numerical Simulation Of Reservoir Physical Properties Based On Surface Flux
Authors: Jie Jiang , Zijun Huang , Ruxiang Gong , Jibo Ren , Gaoming Yu , Yu Zhang 
Published: May 2021

Abstract
Most of the domestic oilfields are developed by water flooding. The long-term erosion of injected water will transform the reservoir and change the physical properties of the reservoir. These changes continue to progress slowly, but the cumulative change range cannot be ignored. The reservoir physical property changes will affect the oil-water movement ability, and have a great impact on the oilfield development influence and the distribution of remaining oil in the later period. However, the mainstream commercial numerical simulation software at present fails to fully consider the time-varying phenomenon of reservoir physical property. According to the literature review, the numerical simulation methods considering the time-varying reservoir physical properties have some defects in continuity representation, directional representation and stability of calculation results. To solve this problem, it is necessary to establish a numerical simulation method based on the time-varying reservoir parameters. In this paper, a useful attempt is made to solve this problem, and an Eclipse-based time-varying simulation program is developed. Through the verification of various examples, all functions meet the design requirements and can realize time-varying simulation under different conditions.
Research on the parameter analysis of combined focusing of right Angle cone and projectile
Authors: Li Zhou Li , Shi Kai Kai , Qian Cai Ling , Zhang Qing Bin 
Published: May 2021

Abstract
In a sound wave measurement engineer, a combination focusing device of right angle cone and parabola was designed to increase the emission sound pressure, and by exploring and simulating the relationship between the position and size of the spherical focus area and the height of the right-angled cone, the position of the apex of the right-angled cone, the focal length of the parabolic and other parameters. The analytical relationship between each parameter and the sound pressure level of the spherical area focused at a certain position from the vertex of the right-angled cone is obtained.
Diagnosis strategy design method based on ant colony algorithm
Authors: Yun Lin , Lu Han 
Published: May 2021

Abstract
Diagnosis strategy design is an important step in testability design. In order to be close to the reality, the optimization design of diagnosis strategy is carried out under the condition of unreliable test. Firstly, the changes caused by unreliable test conditions are analyzed, and test cost and error cost are established as optimization objectives. Then the mathematical model of the problem is established. Ant colony algorithm is used to solve the problem, and a new heuristic evaluation function is established. the objective function is redefined. Finally, the effectiveness of the proposed method is verified by an example and compared with other algorithms.
A Brief Overview of Deep Learning and Memristor
Authors: Cheng Guojian , An Xiaoxin 
Published: May 2021

Abstract
At present, the deep learning has become a main topic in academic and engineering domain. It has been considered to be the general solutions to solve various of classification, clustering, regression and generate tasks in all fields, but it needs higher computing power at the same time. In other words, it needs the new equipment possessing lower power consumption and higher efficiency, which further triggers the development of new hardware and computing technology. A kind of promising solution is an emerging equipment known as memristor, which can be naturally mixed into a feasible computing device to realize neural computing to extend computing power of existing hardware. In this paper, more convenience and practically of using memristor to realize deep neural networks are obtained by summarizing mechanism of deep learning and structure of memristor.
Research on the distortion effect of Ultra-wide-band radar antenna
Authors: Nan Chengfeng , Sun Yong 
Published: May 2021

Abstract
In this paper, the distortion effect of Ultra-wide-band radar antenna was designed and measured. The equal-part low-pass prototype was used as the model. The model can minimize the insertion-loss while providing the need stop-band attenuation. On the base of the low-pass prototype model, the network model was built using the theory of coupled cavity resonator, and coupling coefficients between resonators and external Q factors at two terminal resonators were used as basic parameters in designing narrow-band filters. The λ/4 inductive coupled TEM-mode coaxial resonators were used in microwave realization. The designed filter is compact, stable, easily made and cheap.
Simulation and Experimental Research on Magnetic Flux Leakage Detection Method of Long-distance Pipeline Local Dents Stress
Authors: Kang Xiao-wei , Xiong Zhi-kun , Zhang Lin , He Ren-bi , Meng Xiang-ji , Chen Jin-zhong , Zhang Xue-wei 
Published: May 2021

Abstract
The mechanical damage of the pipeline will cause local dents of the pipe wall, accompanied by different levels of localized stresses. In this paper, the magnetic flux leakage detection technology is used to simulate and test the local dents of pipeline mechanical damage. The magnetic field distribution of the magnetic leakage detection is observed in the local stress loading state of the pipeline mechanical damage. Meanwhile, it is modeled and analyzed the equivalent change and detection effect of the magnetic flux density in the leakage magnetic field in the state that the pipeline mechanical damage is at different degree stress loading. Then the experiment is conducted with reference to the simulation results. Simulated artificial injuries with different deformation degrees of local dents are processed on the Φ323.9 steel pipe. It conducted magnetic flux leakage detection on local dents of pipeline mechanical damage by parameters of different DC magnetization strength. It showed that the leakage magnetic field effect of 5% OD pipeline mechanical damage local dents is better than 0.5% OD and 1% OD.
Realization of shock accelerometer sequence-to-sequence calibration based on deep learning
Authors: Zhen Huang , Wu Yahui 
Published: May 2021

Abstract
The sensitivity parameters or mathematical model of sensor are obtained through traditional shock accelerometer under calibration test, and then the measurement signal is restored through compensation and correction. As the shock signal with complex components is used in a harsh environment, it is very difficult to accurately restore the measured signals. In the meantime, the deconvolution process of signal recovery is an inverse problem in mathematical physics, which has ubiquitously ill-posed problems, thereby bringing great challenges to the accuracy and precision of the solution. Thus, we propose a depth calibration network based LSTM, which can be used to learn the mapping relationship between the calibrated sensor signal and the standard signal. The measured signal can be restored through a data-driven sequence-to-sequence calibration network, which is trained and verified through the exclusive open-source data set of shock signals. The test results proved the superior performance of the network in shock signal calibration.