Detecting near-surface objects with seismic traveltime tomography:Experimentation at a test site

In environmental and engineering studies, detecting shallow buried objects using seismic reflection techniques iscommonly difficult when the acquisition geometry and frequency contents are limited and the heterogeneity of the subsurfaceis high. This study demonstrates that such near-surface features...

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Main Author: Sawasdee Yordkayhun
Format: Article
Language:English
Published: Prince of Songkla University 2011-08-01
Series:Songklanakarin Journal of Science and Technology (SJST)
Subjects:
Online Access:http://rdo.psu.ac.th/sjstweb/journal/33-4/0125-3395-33-4-477-485.pdf
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spelling doaj-defb3db22f1a4cdba05571a3e4156fc82020-11-24T20:46:05ZengPrince of Songkla UniversitySongklanakarin Journal of Science and Technology (SJST)0125-33952011-08-01334477485Detecting near-surface objects with seismic traveltime tomography:Experimentation at a test siteSawasdee YordkayhunIn environmental and engineering studies, detecting shallow buried objects using seismic reflection techniques iscommonly difficult when the acquisition geometry and frequency contents are limited and the heterogeneity of the subsurfaceis high. This study demonstrates that such near-surface features can be characterized by taking advantage of P-wavetraveltimes of seismic data. Here, a seismic experiment was conducted across a buried drainpipe series, the main target, withthe goal of imaging its location. Tomography is implemented as an iterative technique for reconstructing the P-wave velocitymodel from the first-arrival traveltimes. To study the reliability of the method, a set of starting model was tested and asynthetic data was generated. After evaluation and selection of the best model, the resulting image was interpreted. The lowvelocity zone in the tomographic image coincides well with the location of a drainpipe series and surrounding altered grounddue to its installation. The existence of buried objects at the test site confirms and demonstrates the potential of the methodapplication.http://rdo.psu.ac.th/sjstweb/journal/33-4/0125-3395-33-4-477-485.pdfseismic tomographytraveltimeinverse theorynear-surface object
collection DOAJ
language English
format Article
sources DOAJ
author Sawasdee Yordkayhun
spellingShingle Sawasdee Yordkayhun
Detecting near-surface objects with seismic traveltime tomography:Experimentation at a test site
Songklanakarin Journal of Science and Technology (SJST)
seismic tomography
traveltime
inverse theory
near-surface object
author_facet Sawasdee Yordkayhun
author_sort Sawasdee Yordkayhun
title Detecting near-surface objects with seismic traveltime tomography:Experimentation at a test site
title_short Detecting near-surface objects with seismic traveltime tomography:Experimentation at a test site
title_full Detecting near-surface objects with seismic traveltime tomography:Experimentation at a test site
title_fullStr Detecting near-surface objects with seismic traveltime tomography:Experimentation at a test site
title_full_unstemmed Detecting near-surface objects with seismic traveltime tomography:Experimentation at a test site
title_sort detecting near-surface objects with seismic traveltime tomography:experimentation at a test site
publisher Prince of Songkla University
series Songklanakarin Journal of Science and Technology (SJST)
issn 0125-3395
publishDate 2011-08-01
description In environmental and engineering studies, detecting shallow buried objects using seismic reflection techniques iscommonly difficult when the acquisition geometry and frequency contents are limited and the heterogeneity of the subsurfaceis high. This study demonstrates that such near-surface features can be characterized by taking advantage of P-wavetraveltimes of seismic data. Here, a seismic experiment was conducted across a buried drainpipe series, the main target, withthe goal of imaging its location. Tomography is implemented as an iterative technique for reconstructing the P-wave velocitymodel from the first-arrival traveltimes. To study the reliability of the method, a set of starting model was tested and asynthetic data was generated. After evaluation and selection of the best model, the resulting image was interpreted. The lowvelocity zone in the tomographic image coincides well with the location of a drainpipe series and surrounding altered grounddue to its installation. The existence of buried objects at the test site confirms and demonstrates the potential of the methodapplication.
topic seismic tomography
traveltime
inverse theory
near-surface object
url http://rdo.psu.ac.th/sjstweb/journal/33-4/0125-3395-33-4-477-485.pdf
work_keys_str_mv AT sawasdeeyordkayhun detectingnearsurfaceobjectswithseismictraveltimetomographyexperimentationatatestsite
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