Seismic imaging in hard rock environments
Seismic methods are capable to produce reliable images of subsurface structures. However, hard rock seismic is dealing with rather complex geology and the data sets often have a low signal to noise ratio. In this thesis new seismic imaging algorithms are developed and known techniques are adapted to...
| Main Author: | |
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| Format: | Thesis |
| Language: | English |
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Curtin University
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/334 |
| _version_ | 1848743349273493504 |
|---|---|
| author | Tertyshnikov, Konstantin |
| author_facet | Tertyshnikov, Konstantin |
| author_sort | Tertyshnikov, Konstantin |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Seismic methods are capable to produce reliable images of subsurface structures. However, hard rock seismic is dealing with rather complex geology and the data sets often have a low signal to noise ratio. In this thesis new seismic imaging algorithms are developed and known techniques are adapted to address these problems and produce reasonable seismic images of the complex subsurface geology and mineral targets. The suggested algorithms demonstrated significant improvements in hard rock seismic imaging. |
| first_indexed | 2025-11-14T05:44:09Z |
| format | Thesis |
| id | curtin-20.500.11937-334 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T05:44:09Z |
| publishDate | 2014 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-3342021-01-28T05:11:34Z Seismic imaging in hard rock environments Tertyshnikov, Konstantin Seismic methods are capable to produce reliable images of subsurface structures. However, hard rock seismic is dealing with rather complex geology and the data sets often have a low signal to noise ratio. In this thesis new seismic imaging algorithms are developed and known techniques are adapted to address these problems and produce reasonable seismic images of the complex subsurface geology and mineral targets. The suggested algorithms demonstrated significant improvements in hard rock seismic imaging. 2014 Thesis http://hdl.handle.net/20.500.11937/334 en Curtin University fulltext |
| spellingShingle | Tertyshnikov, Konstantin Seismic imaging in hard rock environments |
| title | Seismic imaging in hard rock environments |
| title_full | Seismic imaging in hard rock environments |
| title_fullStr | Seismic imaging in hard rock environments |
| title_full_unstemmed | Seismic imaging in hard rock environments |
| title_short | Seismic imaging in hard rock environments |
| title_sort | seismic imaging in hard rock environments |
| url | http://hdl.handle.net/20.500.11937/334 |