Influence of Error in Estimating Anisotropy Parameters on VTI Depth Imaging
Thin layers in sedimentary rocks lead to seismic anisotropy which makes the wave velocity dependent on the propagation angle. This aspect causes errors in seismic imaging such as mispositioning of migrated events if anisotropy is not accounted for. One of the challenging issues in seismic imaging is...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | International Journal of Geophysics |
| Online Access: | http://dx.doi.org/10.1155/2016/2848750 |
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| author | S. Y. Moussavi Alashloo D. P. Ghosh Y. Bashir W. Y. Wan Ismail |
| author_facet | S. Y. Moussavi Alashloo D. P. Ghosh Y. Bashir W. Y. Wan Ismail |
| author_sort | S. Y. Moussavi Alashloo |
| collection | DOAJ |
| description | Thin layers in sedimentary rocks lead to seismic anisotropy which makes the wave velocity dependent on the propagation angle. This aspect causes errors in seismic imaging such as mispositioning of migrated events if anisotropy is not accounted for. One of the challenging issues in seismic imaging is the estimation of anisotropy parameters which usually has error due to dependency on several elements such as sparse data acquisition and erroneous data with low signal-to-noise ratio. In this study, an isotropic and anelliptic VTI fast marching eikonal solvers are employed to obtain seismic travel times required for Kirchhoff depth migration algorithm. The algorithm solely uses compressional wave. Another objective is to study the influence of anisotropic errors on the imaging. Comparing the isotropic and VTI travel times demonstrates a considerable lateral difference of wavefronts. After Kirchhoff imaging with true anisotropy, as a reference, and with a model including error, results show that the VTI algorithm with error in anisotropic models produces images with minor mispositioning which is considerable for isotropic one specifically in deeper parts. Furthermore, over- or underestimating anisotropy parameters up to 30 percent are acceptable for imaging and beyond that cause considerable mispositioning. |
| format | Article |
| id | doaj-art-93e2d7be05d347a594a924b630162ae4 |
| institution | Kabale University |
| issn | 1687-885X 1687-8868 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Geophysics |
| spelling | doaj-art-93e2d7be05d347a594a924b630162ae42025-02-03T05:46:11ZengWileyInternational Journal of Geophysics1687-885X1687-88682016-01-01201610.1155/2016/28487502848750Influence of Error in Estimating Anisotropy Parameters on VTI Depth ImagingS. Y. Moussavi Alashloo0D. P. Ghosh1Y. Bashir2W. Y. Wan Ismail3Center of Seismic Imaging, Universiti Teknologi PETRONAS, 32610 Seri Iskandar, MalaysiaCenter of Seismic Imaging, Universiti Teknologi PETRONAS, 32610 Seri Iskandar, MalaysiaCenter of Seismic Imaging, Universiti Teknologi PETRONAS, 32610 Seri Iskandar, MalaysiaCenter of Seismic Imaging, Universiti Teknologi PETRONAS, 32610 Seri Iskandar, MalaysiaThin layers in sedimentary rocks lead to seismic anisotropy which makes the wave velocity dependent on the propagation angle. This aspect causes errors in seismic imaging such as mispositioning of migrated events if anisotropy is not accounted for. One of the challenging issues in seismic imaging is the estimation of anisotropy parameters which usually has error due to dependency on several elements such as sparse data acquisition and erroneous data with low signal-to-noise ratio. In this study, an isotropic and anelliptic VTI fast marching eikonal solvers are employed to obtain seismic travel times required for Kirchhoff depth migration algorithm. The algorithm solely uses compressional wave. Another objective is to study the influence of anisotropic errors on the imaging. Comparing the isotropic and VTI travel times demonstrates a considerable lateral difference of wavefronts. After Kirchhoff imaging with true anisotropy, as a reference, and with a model including error, results show that the VTI algorithm with error in anisotropic models produces images with minor mispositioning which is considerable for isotropic one specifically in deeper parts. Furthermore, over- or underestimating anisotropy parameters up to 30 percent are acceptable for imaging and beyond that cause considerable mispositioning.http://dx.doi.org/10.1155/2016/2848750 |
| spellingShingle | S. Y. Moussavi Alashloo D. P. Ghosh Y. Bashir W. Y. Wan Ismail Influence of Error in Estimating Anisotropy Parameters on VTI Depth Imaging International Journal of Geophysics |
| title | Influence of Error in Estimating Anisotropy Parameters on VTI Depth Imaging |
| title_full | Influence of Error in Estimating Anisotropy Parameters on VTI Depth Imaging |
| title_fullStr | Influence of Error in Estimating Anisotropy Parameters on VTI Depth Imaging |
| title_full_unstemmed | Influence of Error in Estimating Anisotropy Parameters on VTI Depth Imaging |
| title_short | Influence of Error in Estimating Anisotropy Parameters on VTI Depth Imaging |
| title_sort | influence of error in estimating anisotropy parameters on vti depth imaging |
| url | http://dx.doi.org/10.1155/2016/2848750 |
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