Abstract

PreviousNext No AccessSEG Technical Program Expanded Abstracts 2007Ground motion through geophones and MEMS accelerometers: Sensor comparison in theory, modeling, and field dataAuthors: Michael HonsRobert StewartDon LawtonMalcolm BertramMichael HonsCREWES Project, University of CalgarySearch for more papers by this author, Robert StewartCREWES Project, University of CalgarySearch for more papers by this author, Don LawtonCREWES Project, University of CalgarySearch for more papers by this author, and Malcolm BertramCREWES Project, University of CalgarySearch for more papers by this authorhttps://doi.org/10.1190/1.2792372 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract Digital sensors based on micro electro mechanical systems (MEMS) accelerometers are one of the newest technologies being used in seismic acquisition. As such, some confusion remains surrounding similarities and differences relative to the coil‐over‐magnet geophone. An understanding of the functioning of these sensors and how to compare them can be facilitated by deriving transfer functions, which relate the data acquired through each sensor to actual ground motion. An equation is then derived to calculate acceleration comparable to unprocessed MEMS data from unprocessed geophone data. The inverse of this equation may be used to calculate geophone data from MEMS data. The effects of sensors on zero and minimum phase wavelets are modeled, demonstrating that the raw output from the sensors should be similar. The minimum phase wavelets are convolved with a random reflectivity series to test deconvolution of impulsive source data. Deconvolution produces geophone and MEMS processed traces that appear similar, and constant phase rotation of MEMS data after deconvolution cannot correct all remaining differences. The geophone‐to‐MEMS transfer equation will exactly transfer between sensors only in the absence of instrument noise. Comparisons between MEMS and geophones recording the same shots, and ground motion domains calculated from those records, show that the data is very similar in frequency content when the same domain is considered, and MEMS records will not necessarily have a larger magnitude contribution from low frequencies than geophones.Permalink: https://doi.org/10.1190/1.2792372FiguresReferencesRelatedDetailsCited ByInternet of Things Geosensor Network for Cost-Effective Landslide Early Warning Systems8 April 2021 | Sensors, Vol. 21, No. 8Seismic acceleration signal analysis and application12 September 2020 | Applied Geophysics, Vol. 17, No. 1Nonlinear regime operation for a high resolution vibrating beam UGS seismometer10 January 2015 | Analog Integrated Circuits and Signal Processing, Vol. 82, No. 3Development of Seismic Data Acquisition Systems in IndonesiaRisky Martin Antosia, Rachmat Sule, and Tedy Setiawan15 January 2014Comparing the MEMS accelerometer and the analog geophoneJidong Wei26 September 2013 | The Leading Edge, Vol. 32, No. 10Evaluation of 3C microelectromechanical system data on a 2D line: Direct comparison with conventional vertical-component geophone arrays and PS-wave analysisGEOPHYSICS, Vol. 76, No. 3Noise maps for shallow water OBC — A case study from SE AsiaGreg Beresford and Brian Barley8 August 2011Comparison of single sensor 3C MEMS and conventional geophone arrays for deep target explorationChristian Stotter, Erika Angerer, and Erwin Herndler15 December 2008Field data comparison: 3C‐2D data acquisition with geophones and accelerometersGlenn Hauer, Michael Hons, Rob Stewart, Don Lawton, and Malcolm Bertram15 December 2008 SEG Technical Program Expanded Abstracts 2007ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2007 Pages: 3124 publication data© 2007 Copyright © 2007 Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished: 14 Sep 2007 CITATION INFORMATION Michael Hons, Robert Stewart, Don Lawton, and Malcolm Bertram, (2007), "Ground motion through geophones and MEMS accelerometers: Sensor comparison in theory, modeling, and field data," SEG Technical Program Expanded Abstracts : 11-15. https://doi.org/10.1190/1.2792372 Plain-Language Summary PDF DownloadLoading ...

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