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Adaptive Processing for EM Telemetry Signal Recovery: Field Data from Sichuan Province

文献类型：期刊论文

作者Fayemi, Olalekan3,4; Di, Qingyun1,2,3,4; Zhen, Qihui3,4; Wang, Yu L.1,4
刊名ENERGIES
出版日期2020-11-01
卷号13期号:22页码:32
关键词adaptive filtering complex noise canceling electromagnetic telemetry
DOI10.3390/en13225873
英文摘要This paper deals with the study of multi-channel adaptive noise cancellation with a focus on its application in electromagnetic (EM) telemetry. We presented new variable step-size least mean square (LMS) techniques: regularized variable step-size LMS and regularized sigmoid variable size LMS, for electromagnetic telemetry data processing. Considering the complexity and spatial distribution of environmental noise, algorithms with multiple reference signals were used to retrieve transmitted EM signals. The feasibility of the regularized variable step size LMS algorithms with numerical simulation was analyzed and presented. The adaptive processing techniques were applied in the recovery of frequency and binary phase shift key modulated signal. The proposed multi-channel adaptive technique achieves fast convergence speed, low mean squared error and is shown to have good convergence characteristics compared to conventional methods. In addition to attaining good results from the multi-channel adaptive filter and performing the signal analysis in real-time, we implemented combined fast effective impulse noise removal techniques. The combination of median and mean filters was effective in removing a wide range of impulsive noises without distorting any other data points. Further, electromagnetic telemetry data were acquired during a drilling operation in Sichuan province, China, for real field application. Data processing workflow was designed for EM telemetry data processing based on the noise characteristics, simulation results and expected result for demodulation. To establish a comprehensive overview, a performance comparison of the acquisition array system is also provided. Conclusively, the introduced multichannel adaptive noise canceling techniques are very effective in recovering transmitted EM telemetry signals.
WOS关键词PEPPER NOISE ; FILTER ; ALGORITHM ; REMOVAL
资助项目Strategic Priority Research Program of the Chinese Academy of Sciences[XDA140501000]
WOS研究方向Energy & Fuels
语种英语
WOS记录号WOS:000594197700001
出版者MDPI
资助机构Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences
源URL[http://ir.iggcas.ac.cn/handle/132A11/98651]  
专题地质与地球物理研究所_中国科学院页岩气与地质工程重点实验室
地质与地球物理研究所_深部资源勘探装备研发
通讯作者Di, Qingyun
作者单位1.Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Innovat Acad Earth Sci, Beijing 100029, Peoples R China
3.Chinese Acad Sci, Frontier Technol & Equipment Dev Ctr Deep Resourc, Inst Geol & Geophys, Beijing 100029, Peoples R China
4.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Shale Gas & Geoengn, Beijing 100029, Peoples R China
推荐引用方式
GB/T 7714		 Fayemi, Olalekan,Di, Qingyun,Zhen, Qihui,et al. Adaptive Processing for EM Telemetry Signal Recovery: Field Data from Sichuan Province[J]. ENERGIES,2020,13(22):32.
APA Fayemi, Olalekan,Di, Qingyun,Zhen, Qihui,&Wang, Yu L..(2020).Adaptive Processing for EM Telemetry Signal Recovery: Field Data from Sichuan Province.ENERGIES,13(22),32.
MLA Fayemi, Olalekan,et al."Adaptive Processing for EM Telemetry Signal Recovery: Field Data from Sichuan Province".ENERGIES 13.22(2020):32.

入库方式： OAI收割

来源：地质与地球物理研究所

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