Fracture Characterization from Scattered Energy: A Case Study
We use 3D surface seismic data to determine the presence and the preferred orientation of fracture corridors in a field. The Scattering Index method is proving to be a robust tool for detecting and mapping fracture corridors. Fracture corridors largely control permeability and fluid flow in some fra...
| 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/1721.1/67909 |
| _version_ | 1811094049240645632 |
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| author | Grandi, Samantha K. Yuh, Sung Willis, Mark E. Toksoz, M. Nafi |
| author2 | Massachusetts Institute of Technology. Earth Resources Laboratory |
| author_facet | Massachusetts Institute of Technology. Earth Resources Laboratory Grandi, Samantha K. Yuh, Sung Willis, Mark E. Toksoz, M. Nafi |
| author_sort | Grandi, Samantha K. |
| collection | MIT |
| description | We use 3D surface seismic data to determine the presence and the preferred orientation of fracture corridors in a field. The Scattering Index method is proving to be a robust tool for detecting and mapping fracture corridors. Fracture corridors largely control permeability and fluid flow in some fractured reservoirs. To apply the Scattering Index method, we compute the scattering transfer functions from the reservoir interval using prestack migrated data collected in four azimuth sectors. By measuring the azimuthal differences in the amount of scattering, we obtain maps of density of fracture corridors and their orientation across the survey area. We use geostatistical filtering to improve the spatial correlation of scattering index maps. The distribution and orientation of the final fracture corridors are interpreted considering the structure, fault network, and stress information. In the field, we observe several regions of high fracturing near the anticline’s crest and on its steepest slopes, on the southwest flank. Around well locations, fractures are oriented to the NW and NNW, which agrees with estimates of maximum stress direction from well data. |
| first_indexed | 2024-09-23T15:54:38Z |
| format | Technical Report |
| id | mit-1721.1/67909 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T15:54:38Z |
| publishDate | 2012 |
| publisher | Massachusetts Institute of Technology. Earth Resources Laboratory |
| record_format | dspace |
| spelling | mit-1721.1/679092019-04-10T09:59:44Z Fracture Characterization from Scattered Energy: A Case Study Grandi, Samantha K. Yuh, Sung Willis, Mark E. Toksoz, M. Nafi Massachusetts Institute of Technology. Earth Resources Laboratory Grandi, Samantha K. Willis, Mark E. Toksoz, M. Nafi We use 3D surface seismic data to determine the presence and the preferred orientation of fracture corridors in a field. The Scattering Index method is proving to be a robust tool for detecting and mapping fracture corridors. Fracture corridors largely control permeability and fluid flow in some fractured reservoirs. To apply the Scattering Index method, we compute the scattering transfer functions from the reservoir interval using prestack migrated data collected in four azimuth sectors. By measuring the azimuthal differences in the amount of scattering, we obtain maps of density of fracture corridors and their orientation across the survey area. We use geostatistical filtering to improve the spatial correlation of scattering index maps. The distribution and orientation of the final fracture corridors are interpreted considering the structure, fault network, and stress information. In the field, we observe several regions of high fracturing near the anticline’s crest and on its steepest slopes, on the southwest flank. Around well locations, fractures are oriented to the NW and NNW, which agrees with estimates of maximum stress direction from well data. Massachusetts Institute of Technology. Earth Resources Laboratory 2012-01-05T17:59:13Z 2012-01-05T17:59:13Z 2006 Technical Report http://hdl.handle.net/1721.1/67909 Earth Resources Laboratory Industry Consortia Annual Report;2006-02 application/pdf Massachusetts Institute of Technology. Earth Resources Laboratory |
| spellingShingle | Grandi, Samantha K. Yuh, Sung Willis, Mark E. Toksoz, M. Nafi Fracture Characterization from Scattered Energy: A Case Study |
| title | Fracture Characterization from Scattered Energy: A Case Study |
| title_full | Fracture Characterization from Scattered Energy: A Case Study |
| title_fullStr | Fracture Characterization from Scattered Energy: A Case Study |
| title_full_unstemmed | Fracture Characterization from Scattered Energy: A Case Study |
| title_short | Fracture Characterization from Scattered Energy: A Case Study |
| title_sort | fracture characterization from scattered energy a case study |
| url | http://hdl.handle.net/1721.1/67909 |
| work_keys_str_mv | AT grandisamanthak fracturecharacterizationfromscatteredenergyacasestudy AT yuhsung fracturecharacterizationfromscatteredenergyacasestudy AT willismarke fracturecharacterizationfromscatteredenergyacasestudy AT toksozmnafi fracturecharacterizationfromscatteredenergyacasestudy |