{"title":"Research on the calculation method of resistivity logging based on 2.5-D finite difference method","authors":"Yujue Gao, Rong Geng, Xu Liu, Pengfei Wang","doi":"10.1109/ICMSP53480.2021.9513408","DOIUrl":"https://doi.org/10.1109/ICMSP53480.2021.9513408","url":null,"abstract":"Compared with one-dimensional and three-dimensional modeling, the finite difference method is used to carry out 2.5D modeling calculation. the physical reality and calculation cost are taken into account. At the same time, the problem is changed into a frequency domain problem, the time variable is eliminated, the calculation process is simplified, and the calculation efficiency is greatly improved.","PeriodicalId":153663,"journal":{"name":"2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP)","volume":"1 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":"132809100","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}
Wei Wang, Wei Song, Runqiao Liu, Yulong Zhu, H. Gong, Hongfei Li
{"title":"Network training and assessment platform for optical network instrument","authors":"Wei Wang, Wei Song, Runqiao Liu, Yulong Zhu, H. Gong, Hongfei Li","doi":"10.1109/ICMSP53480.2021.9513372","DOIUrl":"https://doi.org/10.1109/ICMSP53480.2021.9513372","url":null,"abstract":"In order to overcome the disadvantages of expensive and bulky ANT-20SE instrument, this paper designs a virtual instrument examination system based on LabVIEW. By simulating the actual use of equipment measurement and operation in the virtual environment, the system gets rid of the traditional instrument examination system cost, space and time constraints. The assessment system takes ANT-20SE as the main assessment object, and also designs the assessment process of a variety of test instruments, aiming to build an efficient and object-oriented training assessment system.","PeriodicalId":153663,"journal":{"name":"2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP)","volume":"37 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":"115328865","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}
{"title":"Secrecy Outage Analysis for Wireless-Powered IoT Relaying NOMA Networks over Nakagami-$m$ Fading Channels","authors":"Mengdie Han, Jiliang Zhang","doi":"10.1109/ICMSP53480.2021.9513410","DOIUrl":"https://doi.org/10.1109/ICMSP53480.2021.9513410","url":null,"abstract":"In this paper, we anaylze the secrecy performance for a wireless-powered Internet of Things (IoT) relaying-enabled non-orthogonal multiple access (NOMA) network. In the considered system, a source node transmits signal to a user through a power-constrained IoT relay, which puts forward its own data together with the decoded data under the NOMA technique to two users in the presence of an eavesdropper. In addition, the scenario that the relay can receive both the energy and information from the source through a time-switching mode is considered. Assuming all the channels are subject to Nakagami-$m$ fading, the closed-form expressions for the secrecy outage probability of the two users are obtained, which are also verified by Monte-Carlo simulations.","PeriodicalId":153663,"journal":{"name":"2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP)","volume":"1156 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":"116081197","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}
{"title":"Design of real-time monitoring system for electric submersible pump based on stm32","authors":"Dang Ruirong, Li Gan","doi":"10.1109/ICMSP53480.2021.9513371","DOIUrl":"https://doi.org/10.1109/ICMSP53480.2021.9513371","url":null,"abstract":"Aiming at the working characteristics and operating environment of electric submersible pumps in oil wells, this paper designs a real-time monitoring system for the working status of electric submersible pumps based on stm32f103. The design is mainly divided into sensor acquisition module, signal processing module, and data display module. The sensor module mainly realizes the collection of vibration, pressure, flow rate, and water content. The parameters collected by the sensor module are matched with the stm32f103 main control chip to effectively process and analyze the data of the four parameters, and transmit the correct data results through the serial port. Finally, 4G DTU wireless transmission is used to send the data to the server and realize the display of the data terminal. The design realizes the remote real-time monitoring of the working status of the submersible pump and the interaction of information and data with the server, which provides a guarantee for the safe operation of the submersible pump unit, and makes the data monitoring of the submersible pump in the working state more intelligent. It is of great significance to the digital and intelligent monitoring of oil wells.","PeriodicalId":153663,"journal":{"name":"2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP)","volume":"64 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":"116083389","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}
{"title":"Steering Stability Control of Four-wheel Hub Motor Driven Vehicle under Layered Control System","authors":"Xian Li","doi":"10.1109/ICMSP53480.2021.9513335","DOIUrl":"https://doi.org/10.1109/ICMSP53480.2021.9513335","url":null,"abstract":"In order to eliminate the dangerous phenomenon that four-wheel hub motor driven electric vehicle is prone to instability when steering at high speed. This paper designs layered control control system which can control yaw stability to eliminate this problem. Layered control system is divided into three layers control structure. In the first layer control, two key parameters of vehicle steering stability were obtained by simplified vehicle model. In the second layer control, SMC is used to calculate the torque to maintain steering stability of the vehicle. In the third layer control, the optimal control method is adopted to properly allocate the torque of the four-wheel hub motor according to the torque from the second layer control. Finally, the layered control system is generated by Matlab/Simulink and the control system is applied to Carsim for simulation. As can be seen from the simulation figures, the layered control system proposed in this paper can effectively solve the problem of vehicle instability.","PeriodicalId":153663,"journal":{"name":"2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP)","volume":"3 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":"124911000","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}
{"title":"Study on the Ground Measurements of Key Parameters of Tubing Leakage Point in Sustained Annular Pressure Gas Well","authors":"Cao Feng, Luo Heng, Dang Ruirong, Huifeng Zheng","doi":"10.1109/ICMSP53480.2021.9513398","DOIUrl":"https://doi.org/10.1109/ICMSP53480.2021.9513398","url":null,"abstract":"Sustained annular pressure (SCP) is a common phenomenon in offshore gas fields, which poses a threat to the integrity of gas Wells. Among all the causes, the leakage of tubing string poses the greatest threat to the safety of production. In production practice, it is necessary to measure the key parameters of the leakage point to evaluate the risk. Aiming at this demand, the gas flow model in tubing and the pressure build up model in A-annulus are established. A method to determine the key parameters of leakage point was proposed based on the dynamic liquid level test and annular pressure releasing down test. Through analyzing the flow conditions of leakage point at different data points, the cross-validation method of test data was presented. This method not only provides two kinds of optional test methods for key parameters of leakage point, but also evaluates the reliability of test data, so it has a good value of popularization in offshore gas fields.","PeriodicalId":153663,"journal":{"name":"2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP)","volume":"12 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":"124210430","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}
{"title":"Tight Reservoirs Classification using Random Forest: A Case Study of He 8 Member in Eastern Yan'an Gas Field","authors":"Wang Yan, Wang Ruogu, Yang Shengyi, Liu Jianping","doi":"10.1109/ICMSP53480.2021.9513413","DOIUrl":"https://doi.org/10.1109/ICMSP53480.2021.9513413","url":null,"abstract":"Tight sandstone reservoir is very important in oil and gas exploration in China. Tight reservoirs classification and evaluation are a frontier research field. There are many indexes involved in reservoirs classification, and it is necessary to judge the reservoir type according to personal experience, which consumes lots of time and manpower. Therefore, a new classification method of tight reservoirs using random forest is proposed. Firstly, the high pressure mercury injection curves of tight sandstone reservoirs of He 8 member of Lower Shihezi Formation in eastern Yan'an Gas Field are selected as the research data. Four characteristics for classification are obtained by principal component analysis. Secondly, the random forest using CART is used to classify and obtain the results of reservoir classification. Finally, classification results are verified and parameters of the random forest are optimized. Experimental results show that the proposed reservoirs classification method has high accuracy and low calculation cost. It can effectively reduce time loss and save manpower, and has good generalization.","PeriodicalId":153663,"journal":{"name":"2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP)","volume":"1 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":"126440934","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}
{"title":"A Randomized Algorithm for Approximating Truncated SVD","authors":"M. Kaloorazi, Dan Wu, Guo-wang Gao","doi":"10.1109/ICMSP53480.2021.9513402","DOIUrl":"https://doi.org/10.1109/ICMSP53480.2021.9513402","url":null,"abstract":"Matrices with low-rank structure are frequently encountered in a myriad of application domains, due to Big Data generation and consumption. Low-rank matrix decomposition algorithms, such as the truncated singular value decomposition (TSVD), play a pivotal role in processing and extracting patterns of such data matrices. We present in this work an algorithm termed Randomized Rank-k QLP (RR-QLP). It utilizes randomization and efficiently constructs a low-rank decomposition of an input matrix, thus providing an approximation to the TSVD. Its advantage over TSVD, however, is that RR-QLP is computationally more efficient and can leverage the parallel structure of modern computers, thereby tackling a major bottle- neck associated with TSVD. To show the effectiveness of RR-QLP, different classes of data matrices are treated and the results are compared with those of several algorithms from the literature.","PeriodicalId":153663,"journal":{"name":"2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP)","volume":"25 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":"129871361","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}
{"title":"Integration of Niching Technique and Surrogate-assisted Method with Particle Swarm Optimization for History Matching","authors":"Xiaopeng Ma, Kai Zhang","doi":"10.1109/ICMSP53480.2021.9513346","DOIUrl":"https://doi.org/10.1109/ICMSP53480.2021.9513346","url":null,"abstract":"History matching can provide reliable numerical models for reservoir management and development by assimilating the historical production data into prior geological realizations. It is usually a typical inverse problem with multiple solutions. However, efficiently obtaining multiple posterior solutions is still challenging for most existing history matching algorithms. In this paper, we present a novel algorithm to tackle this problem, which integrates the niching technique and surrogate-assisted method into the particle swarm optimization (PSO), in which, the niching technique can improve the exploration ability and maintain the diversity of the population, while the surrogate-assisted method is focused on accelerating the convergence. Additionally, the convolutional variational autoencoder (CVAE), a deep learning model, is adopted to map the high-dimensional spatially uncertain parameters such as permeability and porosity to low-dimensional latent variables. Experimental results show that the proposed algorithm has good convergence and sampling ability for history matching problems.","PeriodicalId":153663,"journal":{"name":"2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP)","volume":"1 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":"129276858","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}
{"title":"Design of phase angle measurement system for single-phase line based on MATLAB","authors":"Hongwei Qin, Ruirong Dang","doi":"10.1109/ICMSP53480.2021.9513329","DOIUrl":"https://doi.org/10.1109/ICMSP53480.2021.9513329","url":null,"abstract":"In order to improve the power quality of the power transmission system, engineers must measure the phase angle of the transmission line to evaluate the power quality. Therefore, this article measures the phase angle by measuring the real-time voltage signal and current signal of the single-phase transmission line. This design is considered from the two aspects of hardware and software as well as the upper computer and the lower computer cooperate to test. The whole system uses ARM as the core to measure and process the parameters of the transmission line, which combined with the characteristics of ARM for signal acquisition, analog-to-digital conversion, data processing. The lower computer uploads it to the upper computer MATLAB for programming calculation through serial communication, and it uses the cross-correlation function method to measure the phase angle between voltage and current to meet the design requirements. The above design has been proved through experiments that it can be applied to engineering practice. The cross-correlation function algorithm in MATLAB closely fits the measurement of the phase angle of the transmission line. It proposes a new method for the measurement of the phase angle and lays a solid foundation for the future phase angle optimization.","PeriodicalId":153663,"journal":{"name":"2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP)","volume":"408 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":"115993472","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}