2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP)最新文献_第9页

Application of Borehole Transient Electromagnetic System in Relief Well Drilling: a Case Study 井眼瞬变电磁系统在减压井钻井中的应用

2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP) Pub Date : 2021-07-23 DOI: 10.1109/ICMSP53480.2021.9513419

Liu Changzan, Yang Ling, Zhang Chenlu, Dang Bo

{"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}

引用次数: 1

Design of a Signal Regulating Circuit for Wearable ECG Sensor Applications 一种可穿戴式心电传感器信号调节电路的设计

2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP) Pub Date : 2021-07-23 DOI: 10.1109/ICMSP53480.2021.9513370

Yuxiao Bai, Sujin He, K. Wei

引用次数: 0

Research on Gas Concentration Prediction Based on Wavelet Denoising and ARIMA Model 基于小波去噪和ARIMA模型的气体浓度预测研究

2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP) Pub Date : 2021-07-23 DOI: 10.1109/ICMSP53480.2021.9513360

Xiucai Guo, Lekun Yang, Penglin Guan, Meng Du

引用次数: 0

A shale gas exploitation platform detection and positioning method based on YOLOv5 基于YOLOv5的页岩气开采平台检测定位方法

2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP) Pub Date : 2021-07-23 DOI: 10.1109/ICMSP53480.2021.9513389

Chengyao Zhang, Xu-qing Zhang, Minshui Wang, Han-yang Liu, Chen Guo-hong, Gu Zong-rui

{"title":"A shale gas exploitation platform detection and positioning method based on YOLOv5","authors":"Chengyao Zhang, Xu-qing Zhang, Minshui Wang, Han-yang Liu, Chen Guo-hong, Gu Zong-rui","doi":"10.1109/ICMSP53480.2021.9513389","DOIUrl":"https://doi.org/10.1109/ICMSP53480.2021.9513389","url":null,"abstract":"Shale gas is one of the most critical components of unconventional oil and gas resources. Remote sensing image contains rich spatial information. How to use remote sensing images to quickly and efficiently obtain the target position information is one of the hot spots in current remote sensing image researches. In this paper, a deep learning based method is used to study the detection and positioning of shale gas exploitation platform in Fuling area. In order to improve the detection accuracy and recall rates, the loss function is adjusted. CIoU, which contains the scale, the distance between the target and anchor, the overlap rate and the length-width ratio of predict box, is used as the loss function to calculate bounding boxes. By testing, CIoU was used to calculate bounding box losses, which improved the Precision, Recall and AP of YOLOv5x model by 2.6%, 1.6% and 1.2%, respectively. In addition, this paper presents a method for target detection in large-scale remote sensing images. The main idea of this method is cropping-predicting-filtering-stitching. By testing, the method that we proposed can automatically obtain the location of the shale gas exploitation platform quickly and accurately from the whole remote sensing image. This method makes it possible to predict the whole remote sensing image and realize the detection and positioning of the shale gas exploitation platform in one step.","PeriodicalId":153663,"journal":{"name":"2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP)","volume":"39 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":"117065019","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

An unambiguous acquisition algorithm for BOC modulated signals Based on weighting adjustment 基于加权调整的BOC调制信号无二义采集算法

2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP) Pub Date : 2021-07-23 DOI: 10.1109/ICMSP53480.2021.9513340

Pengtao Yang, Yubai Li, Jun Pan, Fei Wang, Lei Mao

{"title":"An unambiguous acquisition algorithm for BOC modulated signals Based on weighting adjustment","authors":"Pengtao Yang, Yubai Li, Jun Pan, Fei Wang, Lei Mao","doi":"10.1109/ICMSP53480.2021.9513340","DOIUrl":"https://doi.org/10.1109/ICMSP53480.2021.9513340","url":null,"abstract":"The Binary Offset Carrier (BOC) modulated signals has been extensive used Global Satellite Navigation System (GNSS), due to the effect of multiple side peaks of the BOC modulated signals in the traditional acquisition algorithm, the result is blurred. This paper proposes a acquisition algorithm for BOC modulated signals by assigning weights to crosscorrelation function (AWCCF), it can eliminate side peaks to achieve the purpose of capturing without ambiguity. It respectively intercepts the start and end of the local sub-carrier square wave which is corresponded to the modulation order every chip which is corresponded to the PRN code, and sets the remaining positions to zero to obtain two new sub-carriers. The new sub-carriers modulated PRN code cross-correlate with the base-band received signals and the results are two sequence values, combine these two sequence values and normalize them, we get the wights. The AWCCF values are obtained by the weights multiplying with the correlation function values which are generated by using traditional acquisition algorithms. The AWCCF can be applied to a variety of BOC modulated signals whose modulation order is an integer and effectively eliminate side peaks. Finally, the simulation results show that the AWCCF has better performance than some other algorithms and can work in low signal to noise rate (SNR) conditions.","PeriodicalId":153663,"journal":{"name":"2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP)","volume":"82 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":"123339241","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

Study of water saturation in electrically anisotropic media based on conductivity tensor 基于电导率张量的各向异性介质含水饱和度研究

2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP) Pub Date : 2021-07-23 DOI: 10.1109/ICMSP53480.2021.9513400

Rong Geng, Yujue Gao, Xu Liu, Zhitao Zhang

{"title":"Study of water saturation in electrically anisotropic media based on conductivity tensor","authors":"Rong Geng, Yujue Gao, Xu Liu, Zhitao Zhang","doi":"10.1109/ICMSP53480.2021.9513400","DOIUrl":"https://doi.org/10.1109/ICMSP53480.2021.9513400","url":null,"abstract":"The formation electrical anisotropy means that the formation apparent resistivity changes with the direction of measurement when the formation apparent resistivity is measured. Because the electrical conductivity tensor measured by the well logging instrument coincides with the component measured in the core analysis, other tensor components are often ignored in formation evaluation. The electrical anisotropy of the laboratory core is indicated by the conductivity tensor scale. It is difficult to obtain the nine components of the conductivity tensor completely in one experiment with the conductivity tensor measuring instrument. The water saturation can be calculated according to the resistivity measured by the Archie formula logging instrument. The common method is to establish the relation of the main axis components of the conductivity tensor on water saturation respectively according to the scalar Archie formula, so as to derive the tensor expression of water saturation. In this paper, based on the literature research results, the conductivity tensor measuring instrument is used to measure the square core, and the 9 components of the conductivity tensor of the core are measured, and the expression of Archie tensor which can be applied to the laboratory is discussed. The unknown coefficients of Archie formula are determined by laboratory data.","PeriodicalId":153663,"journal":{"name":"2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP)","volume":"92 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":"124573577","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: 2

Anti interference transmission algorithm of wireless communication data in the last kilometer of substation 变电站最后一公里无线通信数据抗干扰传输算法

2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP) Pub Date : 2021-07-23 DOI: 10.1109/ICMSP53480.2021.9513227

Zhuxin Zhai, Xin Yan

{"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}

引用次数: 0

A new type of POTDR distributed optical fiber sensor 一种新型POTDR分布式光纤传感器

2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP) Pub Date : 2021-07-23 DOI: 10.1109/ICMSP53480.2021.9513406

Mian Zhang

{"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}

引用次数: 0

Images super-resolution using improved generative adversarial networks 图像超分辨率使用改进的生成对抗网络

2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP) Pub Date : 2021-07-23 DOI: 10.1109/ICMSP53480.2021.9513225

Yuliang Hu, Mingli Jing, Yao Jiao, Kun Sun

{"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}

引用次数: 0

AC corrosion interference of buried long distance pipeline 埋地长输管道的交流腐蚀干扰

2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP) Pub Date : 2021-07-23 DOI: 10.1109/ICMSP53480.2021.9513377

Lin Li, Xinjian Gao

引用次数: 0