基于Python对MTU和V8系列大地电磁测深仪TBL数据研究与应用
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摘要
在大地电磁测深工作中,加拿大凤凰公司MTU及V8系列仪器被广泛使用,但其在数据采集时参数设置繁琐,易引起误操作,数据处理中,仪器自带软件无法进行数据信息提取及修正的批量操作,V8及MTU-3E等类型仪器坐标格式存储错误,且数据分析及反演方面较为薄弱.由于其原始数据为特殊二进制格式,为了简化野外数据采集的操作流程、提高野外工作质量及效率,节约室内工作人员的工作时间,为数据分析及反演等软件的编写提供基础,有必要对原始数据进行详细研究.目前在大地电磁领域基于Python的应用研究较少,鉴于其众多优秀特性,通过Python对TBL文件进行研究分析后,编写程序,实现了相关功能的批量处理,修正了TBL坐标格式错误问题,为Python在大地电磁数据分析及反演中的应用研究提供思路.
In the Magnetotelluric(MT) sounding work, the MTU and V8 series instruments of Canadian Phoenix Company are widely used, but the parameter setting is cumbersome during data acquisition, which is easy to cause misoperation. In data processing, the software comes with instrument cannot extract and modify data information under batch operations, the coordinate of V8 and MTU-3 E series instrument are stored in error format, data analysis and interpretation are weak. Because the original data is in a special binary format, in order to simplify the operation process of field data collection, improve the quality and efficiency of field work, save the working time of indoor staff, and provide the basis for the preparation of software for data analysis and interpretation, it is necessary to analyze the data in detail. At present, there are few applications based on Python in the field of MT. In view of its many excellent features, through detailed research and analysis on TBL files through Python, writes programs, implements batch processing of related functions, and corrects TBL coordinate format errors. Provide a thought for the application of MT data analysis and interpretation based on Python.
In the Magnetotelluric(MT) sounding work, the MTU and V8 series instruments of Canadian Phoenix Company are widely used, but the parameter setting is cumbersome during data acquisition, which is easy to cause misoperation. In data processing, the software comes with instrument cannot extract and modify data information under batch operations, the coordinate of V8 and MTU-3 E series instrument are stored in error format, data analysis and interpretation are weak. Because the original data is in a special binary format, in order to simplify the operation process of field data collection, improve the quality and efficiency of field work, save the working time of indoor staff, and provide the basis for the preparation of software for data analysis and interpretation, it is necessary to analyze the data in detail. At present, there are few applications based on Python in the field of MT. In view of its many excellent features, through detailed research and analysis on TBL files through Python, writes programs, implements batch processing of related functions, and corrects TBL coordinate format errors. Provide a thought for the application of MT data analysis and interpretation based on Python.
引文
Dennis Conway,Graham Heinson,Nigel Rees,et al.2018.Time-lapse inversion of one-dimensional magnetotelluric data[J].Earth,Planets and Space,70:27.
Eric Matthes.2015.Python Crash Course[M].San Francisco:No Strach Press.
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LI Jin,TANG Jing-Tian,XU Zhi-Min,et al.2017.Magnetotelluric noise suppression base on signal-to-noise identification in ore concentration area[J].Chinese Journal Of Geophysics (in Chinese),60(2):722-737,doi:10.6038/cjg20170224.
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Qiu G G,Fang H,Zhu Z J,et al.2012.MT sounder TBL file based on the MATLAB platform[J].Computing Techniques for Geophysical and Geochemical Exploration (in Chinese),34(2):178-181.
Rowan Cockett,Seogi Kang,Lindsey J Heagy,et al.2015.SimPEG:An open source framework for simulation and gradient based parameter estimation in geophysical applications[J].Computers and Geosciences,85(A):142-154.
Song T,Li X,Huang T Y.2017.Python:The foundation of programming language design[M].Beijing:Higher Education Press.
TANG JingTian,LI Guang,ZHOU Cong,et al.2018.Denoising AMT data based on dictionary learning[J].Chinese Journal of Geophysics (in Chinese),61(9):3835-3850,doi:10.6038/cjg2018L0376.
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Wiwit Suryanto,Theodosius Marwan Irnaka.2016.Web-based application for inverting one-dimensional magnetotelluric data using Python[J].Computers and Geosciences,9:77-86.
Zhang S Z,Wang Q Y,Luo Y Z.1994.An overview on the development of the electrical prospecting method in China[J].Chinese J.Geophys.(in Chinese),37(S1):408- 424.
Zhao G Z,Chen X B,Tang J.2007.Advanced geo-electromagnetic methods in China[J].Progress in Geophysics (in Chinese),22(4):1171-1180,doi:10.3969/j.issn.1004-2903.2007.04.024.
李晋,汤井田,徐志敏,等.2017.基于信噪辨识的矿集区大地电磁噪声压制[J].地球物理学报,60(2):722-737,doi:10.6038/cjg20170224.
柳建新,刘春明,马捷,等.2007.V5-2000大地电磁测深仪文件头数据格式研究[J].物探化探计算技术,29(04):359-362.
仇根根,方慧,朱正君,等.2012.基于MATLAB平台对V5-2000大地电磁测深仪TBL文件的分析与应用[J].物探化探计算技术,34(02):178-181.
嵩天,礼欣,黄天宇.2017.Python语言程序设计基础[M].北京:高等教育出版社.
汤井田,李广,周聪,等.2018.基于字典学习的音频大地电磁数据处理[J].地球物理学报,61(9):3835-3850,doi:10.6038/cjg2018L0376.
王辉,魏文博,金胜,等.2014.基于同步大地电磁时间序列依赖关系的噪声处理[J].地球物理学报,57(2):531-545,doi:10.6038/cjg20140218.
魏文博.2002.我国大地电磁测深新进展及瞻望[J].地球物理学进展,17(2):245-254,doi:10.3969/j.issn.1004-2903.2002.02.009
张赛珍,王庆乙,罗延钟.1994.中国电法勘探发展概况[J].地球物理学报,37(增刊1):408- 424.
赵国泽,陈小斌,汤吉.2007.中国地球电磁法新进展和发展趋势[J].地球物理学进展,22(4):1171-1180,doi:10.3969/j.issn.1004-2903.2007.04.024.
Eric Matthes.2015.Python Crash Course[M].San Francisco:No Strach Press.
Guido van Rossum,Fred L.Drake Jr.2018.The Python Language Reference (release 3.7.0)[M].Python Software Foundation.
Lars Krieger,Jared R Peacock.2014.MTpy:A Python toolbox for magnetotellurics[J].Computers and Geosciences,72:167-175.
LI Jin,TANG Jing-Tian,XU Zhi-Min,et al.2017.Magnetotelluric noise suppression base on signal-to-noise identification in ore concentration area[J].Chinese Journal Of Geophysics (in Chinese),60(2):722-737,doi:10.6038/cjg20170224.
Liu J X,Liu C M,Ma J,et al.2007.The data format of MT sounding instrument V5-2000[J].Computing Techniques for Geophysical and Geochemical Exploration (in Chinese),29(4):359-362.
Qiu G G,Fang H,Zhu Z J,et al.2012.MT sounder TBL file based on the MATLAB platform[J].Computing Techniques for Geophysical and Geochemical Exploration (in Chinese),34(2):178-181.
Rowan Cockett,Seogi Kang,Lindsey J Heagy,et al.2015.SimPEG:An open source framework for simulation and gradient based parameter estimation in geophysical applications[J].Computers and Geosciences,85(A):142-154.
Song T,Li X,Huang T Y.2017.Python:The foundation of programming language design[M].Beijing:Higher Education Press.
TANG JingTian,LI Guang,ZHOU Cong,et al.2018.Denoising AMT data based on dictionary learning[J].Chinese Journal of Geophysics (in Chinese),61(9):3835-3850,doi:10.6038/cjg2018L0376.
Wang H,Wei W B,Jin S,et al.2014.Removal of magnetotelluric noise based on synchronous time series relationship[J].Chinese J.Geophys.(in Chinese),57(2):531-545,doi:10.6038/cjg20140218.
Wei W B.2002.Progress and prospects of magnetotelluric sounding in China[J].Progress in Geophysics (in Chinese),17(2):245-254,doi:10.3969/j.issn.1004-2903.2002.02.009.
Wiwit Suryanto,Theodosius Marwan Irnaka.2016.Web-based application for inverting one-dimensional magnetotelluric data using Python[J].Computers and Geosciences,9:77-86.
Zhang S Z,Wang Q Y,Luo Y Z.1994.An overview on the development of the electrical prospecting method in China[J].Chinese J.Geophys.(in Chinese),37(S1):408- 424.
Zhao G Z,Chen X B,Tang J.2007.Advanced geo-electromagnetic methods in China[J].Progress in Geophysics (in Chinese),22(4):1171-1180,doi:10.3969/j.issn.1004-2903.2007.04.024.
李晋,汤井田,徐志敏,等.2017.基于信噪辨识的矿集区大地电磁噪声压制[J].地球物理学报,60(2):722-737,doi:10.6038/cjg20170224.
柳建新,刘春明,马捷,等.2007.V5-2000大地电磁测深仪文件头数据格式研究[J].物探化探计算技术,29(04):359-362.
仇根根,方慧,朱正君,等.2012.基于MATLAB平台对V5-2000大地电磁测深仪TBL文件的分析与应用[J].物探化探计算技术,34(02):178-181.
嵩天,礼欣,黄天宇.2017.Python语言程序设计基础[M].北京:高等教育出版社.
汤井田,李广,周聪,等.2018.基于字典学习的音频大地电磁数据处理[J].地球物理学报,61(9):3835-3850,doi:10.6038/cjg2018L0376.
王辉,魏文博,金胜,等.2014.基于同步大地电磁时间序列依赖关系的噪声处理[J].地球物理学报,57(2):531-545,doi:10.6038/cjg20140218.
魏文博.2002.我国大地电磁测深新进展及瞻望[J].地球物理学进展,17(2):245-254,doi:10.3969/j.issn.1004-2903.2002.02.009
张赛珍,王庆乙,罗延钟.1994.中国电法勘探发展概况[J].地球物理学报,37(增刊1):408- 424.
赵国泽,陈小斌,汤吉.2007.中国地球电磁法新进展和发展趋势[J].地球物理学进展,22(4):1171-1180,doi:10.3969/j.issn.1004-2903.2007.04.024.
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