Dispersive Wave Analysis – Method and Applications

A technique for estimating the dispersion characteristics of propagating waves as measured by an array is detailed. The technique consists of bandpass filtering the data through a filterbank and then processing the filtered waveforms non-dispersively. The results can show the dispersion of the entir...

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Bibliographic Details
Main Authors: Rao, Rama V. N., Toksoz, M. Nafi
Other Authors: Massachusetts Institute of Technology. Earth Resources Laboratory
Format: Technical Report
Published: Massachusetts Institute of Technology. Earth Resources Laboratory 2011
Online Access:http://hdl.handle.net/1721.1/67881
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author Rao, Rama V. N.
Toksoz, M. Nafi
author2 Massachusetts Institute of Technology. Earth Resources Laboratory
author_facet Massachusetts Institute of Technology. Earth Resources Laboratory
Rao, Rama V. N.
Toksoz, M. Nafi
author_sort Rao, Rama V. N.
collection MIT
description A technique for estimating the dispersion characteristics of propagating waves as measured by an array is detailed. The technique consists of bandpass filtering the data through a filterbank and then processing the filtered waveforms non-dispersively. The results can show the dispersion of the entire time series or be parsed in time to analyze the dispersion characteristics of any section of the time series. Processing LWD field data shows that this method can extract dispersion characteristics over a broadband of frequencies and with low amplitude signals. Both the field data and laboratory scale data show that multiple modes present over the same frequency band can be identified.
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spelling mit-1721.1/678812019-04-12T15:05:25Z Dispersive Wave Analysis – Method and Applications Rao, Rama V. N. Toksoz, M. Nafi Massachusetts Institute of Technology. Earth Resources Laboratory Rao, Rama V. N. Toksoz, M. Nafi A technique for estimating the dispersion characteristics of propagating waves as measured by an array is detailed. The technique consists of bandpass filtering the data through a filterbank and then processing the filtered waveforms non-dispersively. The results can show the dispersion of the entire time series or be parsed in time to analyze the dispersion characteristics of any section of the time series. Processing LWD field data shows that this method can extract dispersion characteristics over a broadband of frequencies and with low amplitude signals. Both the field data and laboratory scale data show that multiple modes present over the same frequency band can be identified. Halliburton Company Massachusetts Institute of Technology. Earth Resources Laboratory Massachusetts Institute of Technology. Borehole Acoustics and Logging Consortium 2011-12-22T19:13:16Z 2011-12-22T19:13:16Z 2005 Technical Report http://hdl.handle.net/1721.1/67881 Earth Resources Laboratory Industry Consortia Annual Report;2005-04 application/pdf Massachusetts Institute of Technology. Earth Resources Laboratory
spellingShingle Rao, Rama V. N.
Toksoz, M. Nafi
Dispersive Wave Analysis – Method and Applications
title Dispersive Wave Analysis – Method and Applications
title_full Dispersive Wave Analysis – Method and Applications
title_fullStr Dispersive Wave Analysis – Method and Applications
title_full_unstemmed Dispersive Wave Analysis – Method and Applications
title_short Dispersive Wave Analysis – Method and Applications
title_sort dispersive wave analysis method and applications
url http://hdl.handle.net/1721.1/67881
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