3D diffraction imaging of linear features and its application to seismic monitoring
Many subsurface features, such as faults, fractures, cracks, or fluid content terminations are defined by geological discontinuities. The seismic response from such features is encoded in diffractions. We develop an algorithm for imaging such discontinuities by detecting edge diffractions. The algor...
| Main Authors: | , , , , |
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| Format: | Journal Article |
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Wiley-Blackwell
2013
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| Online Access: | http://hdl.handle.net/20.500.11937/18098 |
| _version_ | 1848749647001026560 |
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| author | Alonaizi, Faisal Pevzner, Roman Bona, Andrej Shulakova, V. Gurevich, Boris |
| author_facet | Alonaizi, Faisal Pevzner, Roman Bona, Andrej Shulakova, V. Gurevich, Boris |
| author_sort | Alonaizi, Faisal |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Many subsurface features, such as faults, fractures, cracks, or fluid content terminations are defined by geological discontinuities. The seismic response from such features is encoded in diffractions. We develop an algorithm for imaging such discontinuities by detecting edge diffractions. The algorithm exploits phase-reversal phenomena of edge diffractions and uses them as a criterion to separate these diffractions from specular reflections and diffractions produced by a leaner object. The performance of the method is demonstrated on both synthetic and real 3D seismic data. The output image focuses the diffracted energy back to its origin and shows high semblance values at the edge of the object. The method is applied on conventionally stacked data producing an image that contains only diffraction events called the D-volume. We also reveal the potential of diffractions to image and track the changes of a CO2 plume using time-lapse analysis and detect any possible CO2 seepage from its primary containment. |
| first_indexed | 2025-11-14T07:24:15Z |
| format | Journal Article |
| id | curtin-20.500.11937-18098 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:24:15Z |
| publishDate | 2013 |
| publisher | Wiley-Blackwell |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-180982017-09-13T13:45:15Z 3D diffraction imaging of linear features and its application to seismic monitoring Alonaizi, Faisal Pevzner, Roman Bona, Andrej Shulakova, V. Gurevich, Boris edge diffraction D-volume semblance Many subsurface features, such as faults, fractures, cracks, or fluid content terminations are defined by geological discontinuities. The seismic response from such features is encoded in diffractions. We develop an algorithm for imaging such discontinuities by detecting edge diffractions. The algorithm exploits phase-reversal phenomena of edge diffractions and uses them as a criterion to separate these diffractions from specular reflections and diffractions produced by a leaner object. The performance of the method is demonstrated on both synthetic and real 3D seismic data. The output image focuses the diffracted energy back to its origin and shows high semblance values at the edge of the object. The method is applied on conventionally stacked data producing an image that contains only diffraction events called the D-volume. We also reveal the potential of diffractions to image and track the changes of a CO2 plume using time-lapse analysis and detect any possible CO2 seepage from its primary containment. 2013 Journal Article http://hdl.handle.net/20.500.11937/18098 10.1111/1365-2478.12063 Wiley-Blackwell restricted |
| spellingShingle | edge diffraction D-volume semblance Alonaizi, Faisal Pevzner, Roman Bona, Andrej Shulakova, V. Gurevich, Boris 3D diffraction imaging of linear features and its application to seismic monitoring |
| title | 3D diffraction imaging of linear features and its application to seismic monitoring |
| title_full | 3D diffraction imaging of linear features and its application to seismic monitoring |
| title_fullStr | 3D diffraction imaging of linear features and its application to seismic monitoring |
| title_full_unstemmed | 3D diffraction imaging of linear features and its application to seismic monitoring |
| title_short | 3D diffraction imaging of linear features and its application to seismic monitoring |
| title_sort | 3d diffraction imaging of linear features and its application to seismic monitoring |
| topic | edge diffraction D-volume semblance |
| url | http://hdl.handle.net/20.500.11937/18098 |