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(DOWNLOAD) "Analysis and Modeling of High-Resolution Multicomponent Seismic Reflection Data" by Erich D. Guy # Book PDF Kindle ePub Free

Analysis and Modeling of High-Resolution Multicomponent Seismic Reflection Data

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eBook details

  • Title: Analysis and Modeling of High-Resolution Multicomponent Seismic Reflection Data
  • Author : Erich D. Guy
  • Release Date : January 21, 2013
  • Genre: Computers,Books,Computers & Internet,
  • Pages : * pages
  • Size : 43635 KB

Description

In this dissertation, important aspects of elastic-wave propagation relevant to high-resolution multicomponent surveying have been analyzed experimentally and numerically, and methodologies have been tested and developed that will improve near-surface imaging and characterization. Factors affecting the ability of common-mode P- and S-wave reflection surveys for mapping features in the near-surface are described and illustrated through analyses of experimental field data and modeling. It is demonstrated through comparisons of known subsurface conditions and processed stacked sections, that combined P- and S-wave common-mode reflection information can allow a geologic sequence to be imaged more effectively than by using solely P- or S-wave reflection information. Near-surface mode-converted seismic reflection imaging potential was tested experimentally and evaluated through modeling. Modeling results demonstrate that potential advantages of near-surface mode-conversion imaging can be realized in theory. Analyses of acquired multicomponent data however demonstrate that mode-conversion imaging could not be accomplished in the field study area, due to the low amplitudes of events and the presence of noise in field data. Analysis methods are presented that can be used for assessing converted-wave imaging potential in future reflection studies. Factors affecting the ability of SH-wave reflection measurements for allowing near-surface interfaces and discontinuities to be effectively imaged are described. A SH-wave reflection data analysis workflow is presented that provides a methodology for delineating active subsidence areas of the subsurface. Equations that define an incidence angle for which the SH-wave reflection coefficient is zero are also presented. In one appendix a computer program developed for the application of equations describing elastic-wave scattering from planar interfaces is presented. In another appendix, it is shown that EM-wave velocity and amplitude information can be used to infer near-surface media distribution and subsidence activity between boreholes. Data acquisition considerations and data analysis workflows for cross-hole radar measurements are also presented. In this dissertation, important aspects of elastic-wave propagation relevant to high-resolution multicomponent surveying have been analyzed experimentally and numerically, and methodologies have been tested and developed that will improve near-surface imaging and characterization. Factors affecting the ability of common-mode P- and S-wave reflection surveys for mapping features in the near-surface are described and illustrated through analyses of experimental field data and modeling. It is demonstrated through comparisons of known subsurface conditions and processed stacked sections, that combined P- and S-wave common-mode reflection information can allow a geologic sequence to be imaged more effectively than by using solely P- or S-wave reflection information. Near-surface mode-converted seismic reflection imaging potential was tested experimentally and evaluated through modeling. Modeling results demonstrate that potential advantages of near-surface mode-conversion imaging can be realized in theory. Analyses of acquired multicomponent data however demonstrate that mode-conversion imaging could not be accomplished in the field study area, due to the low amplitudes of events and the presence of noise in field data. Analysis methods are presented that can be used for assessing converted-wave imaging potential in future reflection studies. F Advisors/Committee Members: Daniels, Jeffrey J.


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