{"title":"Application of Borehole Transient Electromagnetic System in Relief Well Drilling: a Case Study","authors":"Liu Changzan, Yang Ling, Zhang Chenlu, Dang Bo","doi":"10.1109/ICMSP53480.2021.9513419","DOIUrl":"https://doi.org/10.1109/ICMSP53480.2021.9513419","url":null,"abstract":"In the process of offshore and land drilling, once the blowout out of accident occurs, oil and gas resources will be seriously damaged, which will be easy to cause catastrophic events such as casualties and environmental pollution. Drilling a relief well beyond a certain distance around the blowout well to achieve connection is an effective way to control blowout. Affected by the error ellipse, it is difficult for the relief well to hit the accident well directly only depending on the trajectory information, where the relative distance and azimuth information of two wells should be measured in real time. In this paper, the borehole transient electromagnetic system is used to measure the resistivity of surrounding medium in relief well, and the relative distance of two wells can be inversed by using the influence of the accident well casing on the resistivity of surrounding formation. On this basis, the relative azimuth can be calculated in real time by using the spatial geometric positioning algorithm. Moreover, the experiments demonstrated that the proposed system can measure and calculate the relative distance and azimuth between the relief well and the blowout well, and finally guide the successful connection between two wells.","PeriodicalId":153663,"journal":{"name":"2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP)","volume":"8 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":"115392616","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 new type of POTDR distributed optical fiber sensor","authors":"Mian Zhang","doi":"10.1109/ICMSP53480.2021.9513406","DOIUrl":"https://doi.org/10.1109/ICMSP53480.2021.9513406","url":null,"abstract":"Based on the importance of pipeline monitoring and maintenance in the oil and gas industry, the advantages and advantages of sensors based on the principle of Brillouin Optical Time Domain Reflectance (BOTDR) and Polarized Optical Time Domain Reflectance (POTDR) in oil and gas pipeline monitoring are discussed. Insufficiency, because the BOTDR[1] principle sensor has been applied in the monitoring of oil and gas pipelines, the application value of the POTDR principle sensor in the monitoring of oil and gas pipelines was discussed, and a POTDR[2] sensing system with fiber grating was designed. The grating enhances the intensity of the reflected signal light, which can effectively improve the signal-to-noise ratio of the sensing system and make the measurement of vibration more accurate. Not only vibration, but the influence of pressure, temperature, magnetic field and other physical quantities along the optical fiber will also cause the polarization state of the light wave to change. By collecting and analyzing the change in the polarization state of the light wave, the change in the physical quantity that caused the change in the polarization state of the light wave can be reversed, so as to realize the measurement of physical quantity. The method is stable, feasible, clear in principle, and low in cost, and its application value in the future cannot be underestimated.","PeriodicalId":153663,"journal":{"name":"2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP)","volume":"31 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":"127681494","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":"Deep Residual Shrinkage Network For Few-Shot Learning","authors":"Jiuzhou Liu, Qianwen Zhou, Biyin Zhang","doi":"10.1109/ICMSP53480.2021.9513349","DOIUrl":"https://doi.org/10.1109/ICMSP53480.2021.9513349","url":null,"abstract":"The few-shot image classification is a challenging emerging direction in the field of deep learning, and it is widely used in oil well positioning, nondestructive testing in petroleum and other industrial fields. Aiming at the problem that traditional deep learning methods cannot effectively extract few-shot image features, this paper proposes a few-shot image classification algorithm based on deep residual shrinkage network (DRSN). On the one hand, to improve the ability of feature extraction, the attention mechanism is introduced into the residual network to construct the DRSN. On the other hand, we carry out calibration for small sample data to solve the problem of uneven data distribution and improve accuracy in the few-shot classification tasks. Experimental results show that the algorithm in the paper can perform effective image feature extraction, and have excellent performance in the few-shot classification tasks.","PeriodicalId":153663,"journal":{"name":"2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP)","volume":"88 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":"127998515","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":"Anti interference transmission algorithm of wireless communication data in the last kilometer of substation","authors":"Zhuxin Zhai, Xin Yan","doi":"10.1109/ICMSP53480.2021.9513227","DOIUrl":"https://doi.org/10.1109/ICMSP53480.2021.9513227","url":null,"abstract":"The interference of wireless communication data in the last kilometer of substation is becoming more and more serious, so reliable anti-interference transmission mode is needed to ensure data security. The traditional anti-interference transmission algorithm is prone to collision of communication frequency points, which affects the convergence speed of the algorithm. According to the carrier frequency of the interference signal, the cyclic cumulant of the signal is calculated. The poor channel state is regarded as the equivalent interference, and the distribution characteristics of the channel equivalent interference are determined. The frequency band occupation of interference signal is expressed as state, the data interference avoidance model of wireless communication is established, the channel quality is evaluated, and the anti-interference transmission algorithm is designed to improve the reliability of wireless communication process. The experimental results show that the average number of iterations of the proposed anti-interference transmission algorithm is smaller, and the convergence speed is better than the traditional algorithm, which can realize the effective transmission of wireless communication data.","PeriodicalId":153663,"journal":{"name":"2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP)","volume":"146 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":"132946934","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":"Images super-resolution using improved generative adversarial networks","authors":"Yuliang Hu, Mingli Jing, Yao Jiao, Kun Sun","doi":"10.1109/ICMSP53480.2021.9513225","DOIUrl":"https://doi.org/10.1109/ICMSP53480.2021.9513225","url":null,"abstract":"Image super-resolution (ISR) is an important image processing technology to improve image resolution in computer vision tasks. The purpose of this paper is to study the super-resolution reconstruction of single image based on the depth learning method. Aiming at the problem that the existing pixel loss-based super-resolution image reconstruction algorithms have poor reconstruction effect on high-frequency details, such as textures, a lighter algorithm is proposed on the basis of the existing deep learning method (SRGAN). Firstly, the feedback structure is applied in the generator to process the feedback information and enhance the high frequency information of the image. Secondly, a general residual feature aggregation framework (RFA), is applied to make full use of the residual information of each layer to improve the quality of the SR image. Finally, the solution space of the function is further reduced and the image quality is improved by using a new loss function. The algorithms are implemented on pytorch framework. The experimental results on VOC2012 data sets show that, compared with the original SRGAN algorithm, the peak signal-to-noise ratio (PSNR) and structural similarity (SSIM) of the proposed algorithm on the benchmark data set Set5 are improved by 0.83dB and 0.028, respectively, on Set14, the PSNR and SSIM of the proposed algorithm are improved by 0.56dB and 0.009, on Urban100, the PSNR and SSIM of the proposed algorithm are improved by 0.51dB and 0.031, on BSD100, the PSNR and SSIM of the proposed algorithm are improved by 0.33dB and 0.014, and compared with other improved algorithms, the effect of this algorithm is also better than other algorithms.","PeriodicalId":153663,"journal":{"name":"2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP)","volume":"44 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":"131586131","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}
Xin-ru Guo, Li Ma, J. Yang, Pan Xiao, Qinping Huang
{"title":"Research on Surfactants of Low Temperature and High Salt Oil Deposit Oil Displacement on Block D","authors":"Xin-ru Guo, Li Ma, J. Yang, Pan Xiao, Qinping Huang","doi":"10.1109/ICMSP53480.2021.9513384","DOIUrl":"https://doi.org/10.1109/ICMSP53480.2021.9513384","url":null,"abstract":"Block D belongs to low-temperature high-salt oil deposit with low recovery percent of reserves, long edge and bottom water. Aiming at this block, we designed and developed alkali-free binary composite flooding QA series surfactants for oil displacement. With field water as the experimental water, a lot of exploratory experiments have been carried out to filtrate, prescribe and advance the surfactant. Finally, QA series surfactant suitable for the characteristics of low temperature and high salt deposit on Block D was successfully developed. In the oil-water system of D block, QA series surfactant shows some good features like ultra-low interfacial tension, strong adsorption resistance and good calcium resistance. It is successfully applied in the field and the effect of EOR is remarkable.","PeriodicalId":153663,"journal":{"name":"2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP)","volume":"55 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":"133699715","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 evaluation model of rate grade of soil corrosion for pipeline","authors":"Zhifeng Zhao, Dan Wu, Guo-wang Gao, Heng Fan","doi":"10.1109/ICMSP53480.2021.9513220","DOIUrl":"https://doi.org/10.1109/ICMSP53480.2021.9513220","url":null,"abstract":"The purpose of this research is to improve the analysis of grade evaluation of soil corrosion rate for pipeline. With the characteristics of the existing mathematical models and the factors of pipeline soil corrosion, a combined mathematical model of the rough set, the decision tree and support vector machine (RS-DT-SVM) is proposed to evaluate the grade of soil corrosion rate for pipeline. This method utilizes the rough set (RS) and decision tree (DT) to manage by standardization analysis of the data of pipeline soil corrosion in the early stage. According to the characteristics of solving the problems of over learning, local minima, nonlinearity and dimension disaster, support vector machine (SVM) is used to build the intelligent evaluation of rate grade of soil corrosion. With algorithm characteristics of machine learning, it can be built without determining the specific function expression. Taking the actual and objective corrosion data of loam as an example, the model has a relative superiority in the evaluation grade analysis of multi-factor control system. It also provides a method guidance of evaluation grade of soil corrosion rate for pipeline.","PeriodicalId":153663,"journal":{"name":"2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP)","volume":"5 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":"124120178","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 and application of transmitter module of peephole instrument based on CLC2000","authors":"D. Lin","doi":"10.1109/ICMSP53480.2021.9513357","DOIUrl":"https://doi.org/10.1109/ICMSP53480.2021.9513357","url":null,"abstract":"The images taken by the camera and the floodlight are transmitted to the monitor screen by the peeping instrument, and then the bubbles of the gas in different geological layers in the coal bed gas well are observed and the location of the gas outlet is found. Coaxial cable transmission of video signals is non-balanced transmission, while twisted pair transmission is balanced transmission. The interface of the video device is also often unbalanced. Video signal transmission in the twisted pair, the resistance loss, medium resistance loss and radiation loss of signal power from attenuation off some of the transmission line transfer to the load, and the size of the attenuation associated with the transmission distance and the signal frequency, must be set in a certain gain and compensate the frequency weighting at the receiving end. The simulation circuit diagram of the single-ended-differential double-sided converter designed based on CLC2000, not only can match the twisted-pair characteristic impedance, and amplifier and twisted pair can be isolated, expanded capacitive load drive ability, also can eliminate the high frequency signal oscillation caused a surge in the end gain and, series resistance and can make gain slightly down, meet the demand of CBM Wells with peep instrument field.","PeriodicalId":153663,"journal":{"name":"2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP)","volume":"188 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":"121982741","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":"Circuit design of portable ECG equipment based on LM124 operational amplifier","authors":"Zhiyuan Liu","doi":"10.1109/ICMSP53480.2021.9513343","DOIUrl":"https://doi.org/10.1109/ICMSP53480.2021.9513343","url":null,"abstract":"In this work, a portable ECG signal amplification and processing circuit were designed based on the lm124 chip. The circuit consists of a high CMRR measurement amplifier, a lowpass filter, a high-pass filter, and a band stop filter to suppress power frequency interference. The circuit is simulated and tested by Multisim software under different input voltage and frequency. The test results show that the differential mode amplification factor of the circuit is 147 times, and the common-mode rejection ratio is 110dB. At the same time, the condition of portability was considered, which made the package of the circuit small and portable. The designed circuit has the potential to measure and analyze the user's ECG signal 24 hours a day.","PeriodicalId":153663,"journal":{"name":"2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP)","volume":"28 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":"125788591","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}