Fracture Detection using Amplitude versus Offset and Azimuth Analysis of a 3D P-wave Seismic Dataset and Synthetic Examples
Amplitude versus offset (AVO) analysis of seismic reflection data has been a successful tool in describing changes in rock properties along a reflector. This method is extended to azimuthal AVO (AVOA) in order to characterize vertically aligned fractures within a reservoir, which can be important fl...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Technical Report |
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Massachusetts Institute of Technology. Earth Resources Laboratory
2012
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| Online Access: | http://hdl.handle.net/1721.1/68614 |
| _version_ | 1826194224848044032 |
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| author | Minsley, Burke J. Willis, Mark E. Krasovec, Mary L. Burns, Daniel R. Toksoz, M. Nafi |
| author2 | Massachusetts Institute of Technology. Earth Resources Laboratory |
| author_facet | Massachusetts Institute of Technology. Earth Resources Laboratory Minsley, Burke J. Willis, Mark E. Krasovec, Mary L. Burns, Daniel R. Toksoz, M. Nafi |
| author_sort | Minsley, Burke J. |
| collection | MIT |
| description | Amplitude versus offset (AVO) analysis of seismic reflection data has been a successful tool in describing changes in rock properties along a reflector. This method is extended to azimuthal AVO (AVOA) in order to characterize vertically aligned fractures within a reservoir, which can be important fluid migration pathways. AVOA analysis is performed on synthetic data using a least squares inversion method to investigate the effects of varying acquisition geometry, amount of noise, and fracture properties. These tests show that it is possible to detect the fractured layer and determine the fracture strike orientation under typical acquisition conditions. This method is also applied to field data collected during an Ocean Bottom Cable (OBC) survey. These data include a broad offset-azimuth range, which is important for the AVOA analysis. The fracture location and strike orientation recovered from the field data analysis are well correlated with borehole information from this area. Based on an understanding of AVOA behavior under synthetic conditions, this technique provides an effective methodology for describing the spatial variability of a fractured reservoir using 3D seismic data. |
| first_indexed | 2024-09-23T09:52:49Z |
| format | Technical Report |
| id | mit-1721.1/68614 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T09:52:49Z |
| publishDate | 2012 |
| publisher | Massachusetts Institute of Technology. Earth Resources Laboratory |
| record_format | dspace |
| spelling | mit-1721.1/686142019-04-12T15:20:24Z Fracture Detection using Amplitude versus Offset and Azimuth Analysis of a 3D P-wave Seismic Dataset and Synthetic Examples Minsley, Burke J. Willis, Mark E. Krasovec, Mary L. Burns, Daniel R. Toksoz, M. Nafi Massachusetts Institute of Technology. Earth Resources Laboratory Minsley, Burke J. Willis, Mark E. Krasovec, Mary L. Burns, Daniel R. Toksoz, M. Nafi Amplitude versus offset (AVO) analysis of seismic reflection data has been a successful tool in describing changes in rock properties along a reflector. This method is extended to azimuthal AVO (AVOA) in order to characterize vertically aligned fractures within a reservoir, which can be important fluid migration pathways. AVOA analysis is performed on synthetic data using a least squares inversion method to investigate the effects of varying acquisition geometry, amount of noise, and fracture properties. These tests show that it is possible to detect the fractured layer and determine the fracture strike orientation under typical acquisition conditions. This method is also applied to field data collected during an Ocean Bottom Cable (OBC) survey. These data include a broad offset-azimuth range, which is important for the AVOA analysis. The fracture location and strike orientation recovered from the field data analysis are well correlated with borehole information from this area. Based on an understanding of AVOA behavior under synthetic conditions, this technique provides an effective methodology for describing the spatial variability of a fractured reservoir using 3D seismic data. Eni S.p.A. (Firm) United States. Dept. of Energy (Grant number DE-FC26-02NT15346) Massachusetts Institute of Technology. Earth Resources Laboratory 2012-01-20T17:54:59Z 2012-01-20T17:54:59Z 2004-05-26 Technical Report http://hdl.handle.net/1721.1/68614 Earth Resources Laboratory Industry Consortia Annual Report;2004-03 application/pdf Massachusetts Institute of Technology. Earth Resources Laboratory |
| spellingShingle | Minsley, Burke J. Willis, Mark E. Krasovec, Mary L. Burns, Daniel R. Toksoz, M. Nafi Fracture Detection using Amplitude versus Offset and Azimuth Analysis of a 3D P-wave Seismic Dataset and Synthetic Examples |
| title | Fracture Detection using Amplitude versus Offset and Azimuth Analysis of a 3D P-wave Seismic Dataset and Synthetic Examples |
| title_full | Fracture Detection using Amplitude versus Offset and Azimuth Analysis of a 3D P-wave Seismic Dataset and Synthetic Examples |
| title_fullStr | Fracture Detection using Amplitude versus Offset and Azimuth Analysis of a 3D P-wave Seismic Dataset and Synthetic Examples |
| title_full_unstemmed | Fracture Detection using Amplitude versus Offset and Azimuth Analysis of a 3D P-wave Seismic Dataset and Synthetic Examples |
| title_short | Fracture Detection using Amplitude versus Offset and Azimuth Analysis of a 3D P-wave Seismic Dataset and Synthetic Examples |
| title_sort | fracture detection using amplitude versus offset and azimuth analysis of a 3d p wave seismic dataset and synthetic examples |
| url | http://hdl.handle.net/1721.1/68614 |
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