2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP)最新文献_第5页

Time-Frequency Hybrid Suppression Method for Discrete Spectral Interference in Partial Discharge Signal 局部放电信号中离散频谱干扰的时频混合抑制方法

2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP) Pub Date : 2021-07-23 DOI: 10.1109/ICMSP53480.2021.9513334

Yuanlin Luo, Bo Zheng, Yuechao Wu, Jiong Lu

{"title":"Time-Frequency Hybrid Suppression Method for Discrete Spectral Interference in Partial Discharge Signal","authors":"Yuanlin Luo, Bo Zheng, Yuechao Wu, Jiong Lu","doi":"10.1109/ICMSP53480.2021.9513334","DOIUrl":"https://doi.org/10.1109/ICMSP53480.2021.9513334","url":null,"abstract":"To solve the serious waveform distortion and high computational complexity of existing methods for discrete spectral interference (DSI) suppression in partial discharge (PD), this paper presents a time-frequency hybrid method based on mathematical morphology filter (MMF) and spectrum correction. The method includes DSI frequencies identification in frequency domain and DSI waveforms reconstruction in time domain. Firstly, logarithmic amplitude spectrum (LAS) of noisy signal is filtered by a MMF, which then be subtracted from original LAS; secondly, the number and coarse frequency values of DSI are identified by adopting the classical threshold criterion from subtracted LAS; thirdly, the spectrum correction method is introduced to estimate the accurate frequency, amplitude and phase of aforementioned DSI, which then can be used to reconstruct DSI waveforms; at last, the DSI is subtracted from the noisy signal to achieve the goal of DSI suppression. Simulation data show that, compared to optimal harmonic wavelet packet transform based method and blind source separation based methods, the proposed method is full-automatic, and it possesses a high interference suppression performance and a high waveform fidelity, thus it is suit for PD online measurement.","PeriodicalId":153663,"journal":{"name":"2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134594235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on the Motion Law of Rod Pumps Based on Digital Twin Technology 基于数字孪生技术的有杆泵运动规律研究

2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP) Pub Date : 2021-07-23 DOI: 10.1109/ICMSP53480.2021.9513347

Fei Shen, S. Ren, X. Zhang, H. Luo, Min Chao Feng, Zhanbao Fu

引用次数: 0

Communication Fault Diagnosis Algorithm Based on BP Neural Network 基于BP神经网络的通信故障诊断算法

2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP) Pub Date : 2021-07-23 DOI: 10.1109/ICMSP53480.2021.9513359

Shuying Shao

{"title":"Communication Fault Diagnosis Algorithm Based on BP Neural Network","authors":"Shuying Shao","doi":"10.1109/ICMSP53480.2021.9513359","DOIUrl":"https://doi.org/10.1109/ICMSP53480.2021.9513359","url":null,"abstract":"With the development of information technology, we have developed from the ancient flying pigeon transmission and the beacon transmission to the wired telegraph and radio wave in the Republic of China to the 5G era of the three major communication network operators. The development of communication facilities has undoubtedly brought great convenience to our communication. However, due to the application of communication equipment in the high-definition military field and the frequent use in daily life, the complexity of its structure, the diversification of equipment, and the development of large-scale services have caused a lot of troubles for diagnosis. Therefore, the timely diagnosis and repair of communication failures is an important task. Based on this, this article starts from the BP neural network(BNN) and studies the communication fault diagnosis algorithm. This article mainly uses experimental analysis method, personal interview method, questionnaire survey method and qualitative and quantitative analysis method to study the communication fault diagnosis algorithm based on BNN. The experimental research results show that the communication fault diagnosis based on BNN can deal with it effectively and quickly, and speed up the efficiency of fault handling. According to the questionnaire survey, 62% of people support the use of the BP algorithm for fault diagnosis, and 32% believe that the algorithm needs to be improved. Generally speaking, the diagnosis of communication failures must use modern technology for data processing and analysis, and then determine the cause of the failure, so as to provide solutions or intelligently solve the problem.","PeriodicalId":153663,"journal":{"name":"2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133069567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Application of Water Injection Profile Recognition Based on Machine Learning Method in F Oilfield 基于机器学习方法的注水剖面识别在F油田的应用

2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP) Pub Date : 2021-07-23 DOI: 10.1109/ICMSP53480.2021.9513391

Yiru Liu, Jianwei Gu, Zhi-gang Xu, Zhenghua Jiang

{"title":"Application of Water Injection Profile Recognition Based on Machine Learning Method in F Oilfield","authors":"Yiru Liu, Jianwei Gu, Zhi-gang Xu, Zhenghua Jiang","doi":"10.1109/ICMSP53480.2021.9513391","DOIUrl":"https://doi.org/10.1109/ICMSP53480.2021.9513391","url":null,"abstract":"Interlayer water injection profile is an important data for oilfield development and adjustment. At present, it is mainly based on field test, with high cost and few data. For the problem of water injection profile identification in F oilfield, this paper uses the dynamic and static data of reservoir to carry out the prediction of water injection profile by machine learning method. Based on the analysis of the influencing factors of water absorption profile, the sensitive parameters of 11 dimensions and their calculation methods are proposed, and the basic data sample database is constructed. XGBoost ensemble learning algorithm is used to realize small sample database prediction of longitudinal water injection profile in F oilfield. Compared with KH split water absorption method, it can more accurately grasp the change law of each water injection well's longitudinal water absorption status in the well area. The test results show that the recognition accuracy of the new identification method is 85.5% compared with the logging interpretation results. The water absorption index of each layer is predicted, and the water absorption difference between layers is clearly grasped, which points out the direction for injection production allocation.","PeriodicalId":153663,"journal":{"name":"2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133258437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Noise Acquisition System of underwater propulsion device based on LabVIEW 基于LabVIEW的水下推进装置噪声采集系统

2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP) Pub Date : 2021-07-23 DOI: 10.1109/ICMSP53480.2021.9513366

Zhou Li, Feihong Li, Fu-Bin Tian, Y. Liang

引用次数: 0

Application of digital dual-phase LIA in the detection of mineral oil in water 数字双相LIA在水中矿物油检测中的应用

2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP) Pub Date : 2021-07-23 DOI: 10.1109/ICMSP53480.2021.9513333

Li-pin Li, Guoxin Xu, Yan-qun Huang, Peng-li Zhang

引用次数: 0

Pitot tube velocity measurement technology for the compressible airflow and its application in wind tunnel 可压缩气流的皮托管测速技术及其在风洞中的应用

2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP) Pub Date : 2021-07-23 DOI: 10.1109/ICMSP53480.2021.9513373

Y. Zhaoxin, Gu Zhenghua, Z. Wenqing

引用次数: 0

Working Parameter Optimization of a Microstructure Electrohydrodynamic Jet Printing System by the Quantification of Margins and Uncertainties 基于余量和不确定性的微结构电液动力喷射打印系统工作参数优化

2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP) Pub Date : 2021-07-23 DOI: 10.1109/ICMSP53480.2021.9513388

Kun Wang, Houyun Wang, Xiang Zhou, Sheng Yang

{"title":"Working Parameter Optimization of a Microstructure Electrohydrodynamic Jet Printing System by the Quantification of Margins and Uncertainties","authors":"Kun Wang, Houyun Wang, Xiang Zhou, Sheng Yang","doi":"10.1109/ICMSP53480.2021.9513388","DOIUrl":"https://doi.org/10.1109/ICMSP53480.2021.9513388","url":null,"abstract":"The purpose of this study is to provide an accurate and effective method to predict the reliability of printed microscopic feature sizes of an electrohydrodynamic jet printing system. The Quantification of Margin and Uncertainty (QMU) method was used to investigate the reliability and uncertainty of the design parameters of an electrohydrodynamic jet printing system. The parameters of the printing system are optimized on this basis. A quantitative model for predicting the microscopic feature size of electrohydrodynamic jet printing patterns and the principle of the QMU method are introduced. The QMU method is applied to the above model through simulation analysis. We obtained the margins and uncertainties of the printing size of the model relative to the expected threshold size under fluctuating experimental parameters. Thus, the most reliable working parameter range is obtained, and the operation point farthest from the unqualified parameters is regarded as the most optimial. Our results show that when working parameters deviate from ideal conditions, there is an acceptable region where the printing parameters could meet the actual requirements.","PeriodicalId":153663,"journal":{"name":"2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP)","volume":"272 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133941856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Application of Intelligent Control Technology for Oilfield 智能控制技术在油田中的应用

2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP) Pub Date : 2021-07-23 DOI: 10.1109/ICMSP53480.2021.9513378

Dasheng Zhou, Qun-tai Shen, Yanwei Wang, Wanduo Dong

{"title":"Application of Intelligent Control Technology for Oilfield","authors":"Dasheng Zhou, Qun-tai Shen, Yanwei Wang, Wanduo Dong","doi":"10.1109/ICMSP53480.2021.9513378","DOIUrl":"https://doi.org/10.1109/ICMSP53480.2021.9513378","url":null,"abstract":"In the process of steam flooding development of super heavy oil in oilfield, because the effect of production wells is different, and the fluid supply capacity of downhole reservoirs is different, which causes the unbalanced relationship between pump supply and drainage, leads to delayed drainage, affects the efficiency of steam flooding, or leads the uneffective working of oil-well pump, as well as the pump body wastage and electric energy waste. The intelligent control technology is used to real time monitor the fluid level position parameters automatically on line and control the frequency and speed of pumping unit motor flexibly. To change the up and down stroke times of sucker rod for making the pumping unit achieving the balance of supply and discharge of production well fluid. The pumping unit motor increases the frequency and stroke for accelerating the pumping body discharge speed once the dynamic liquid level height is higher than the setting value, otherwise, reduce the frequency and stroke. Thus, the working efficiency of the pumping unit system is greatly improved, and the purposes were achieved, such as stabilizing the pump efficiency, increasing the output, reducing the loss, saving energy and increasing efficiency. The comprehensive promotion in the field of super heavy oil development is of far-reaching significance for delaying the production decline in company.","PeriodicalId":153663,"journal":{"name":"2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116067950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Key technologies of intelligent interpretation cloud platform for coal mine logging 煤矿测井智能解释云平台关键技术研究

2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP) Pub Date : 2021-07-23 DOI: 10.1109/ICMSP53480.2021.9513387

Bici Jiang

{"title":"Key technologies of intelligent interpretation cloud platform for coal mine logging","authors":"Bici Jiang","doi":"10.1109/ICMSP53480.2021.9513387","DOIUrl":"https://doi.org/10.1109/ICMSP53480.2021.9513387","url":null,"abstract":"In order to meet the needs of intelligent mining of coal mine for detecting data and realize intelligent interpretation of coal mine logging, an online intelligent interpretation cloud platform for single well of coal mine logging based on web is designed. Based on Browser-Server (B/S) architecture, man-machine interactive display is realized on the front-end browser, data processing and interpretation are achieved on the back-end cloud server; data management is carried out by using SQL database to facilitate data interaction with other platforms; coal and rock identification and interpretation of intelligent logging is realized by using python; data encryption is designed by using block chain technology to realize data life cycle. The data transmission protocol adopts the general protocol technology, the communication between the front end and the back end adopts the Https protocol, and the data transmission adopts the JSON format, which facilitates the data docking with other platforms. The platform is not restricted by terminal form. As long as there is a browser in the network, it can be operated, used by users. The platform has no version restrictions and is convenient for developers to maintain. The platform construction, front-end design, back-end design, database design and data encryption design method formed in this paper provide new ideas and solutions for the development of intelligent logging interpretation.","PeriodicalId":153663,"journal":{"name":"2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126177019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0