Fractured Reservoir Characterization using Azimuthal AVO
Ordinary least squares is used to investigate the ability to detect changes in physical properties using Amplitude Versus Offset (AVO) information collected from seismic data. In order to characterize vertically aligned fractures within a reservoir, this method is extended to Azimuthal AVO (AVOA)...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Technical Report |
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Massachusetts Institute of Technology. Earth Resources Laboratory
2011
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| Online Access: | http://hdl.handle.net/1721.1/67865 |
| _version_ | 1811092676784685056 |
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| author | Minsley, Burke J. Burns, Daniel R. Willis, Mark E. |
| author2 | Massachusetts Institute of Technology. Earth Resources Laboratory |
| author_facet | Massachusetts Institute of Technology. Earth Resources Laboratory Minsley, Burke J. Burns, Daniel R. Willis, Mark E. |
| author_sort | Minsley, Burke J. |
| collection | MIT |
| description | Ordinary least squares is used to investigate the ability to detect changes in physical properties
using Amplitude Versus Offset (AVO) information collected from seismic data. In order to characterize
vertically aligned fractures within a reservoir, this method is extended to Azimuthal AVO (AVOA)
analysis. Azimuthal AVO has the potential not only to detect fractured zones, but to spatially describe the
fracture strike orientation and changes in fracture or fluid properties. Depending on the data acquisition
geometry, signal-to-noise ratio, and extent of fracturing, AVOA analysis can be marginally successful. A
study of the robustness and limitations of AVOA analysis is therefore first classified with synthetic data.
These methods are then applied to seismic data collected during an Ocean Bottom Cable (OBC) survey
over a known fractured reservoir. |
| first_indexed | 2024-09-23T15:21:48Z |
| format | Technical Report |
| id | mit-1721.1/67865 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T15:21:48Z |
| publishDate | 2011 |
| publisher | Massachusetts Institute of Technology. Earth Resources Laboratory |
| record_format | dspace |
| spelling | mit-1721.1/678652019-04-12T15:05:20Z Fractured Reservoir Characterization using Azimuthal AVO Minsley, Burke J. Burns, Daniel R. Willis, Mark E. Massachusetts Institute of Technology. Earth Resources Laboratory Minsley, Burke J. Burns, Daniel R. Willis, Mark E. Ordinary least squares is used to investigate the ability to detect changes in physical properties using Amplitude Versus Offset (AVO) information collected from seismic data. In order to characterize vertically aligned fractures within a reservoir, this method is extended to Azimuthal AVO (AVOA) analysis. Azimuthal AVO has the potential not only to detect fractured zones, but to spatially describe the fracture strike orientation and changes in fracture or fluid properties. Depending on the data acquisition geometry, signal-to-noise ratio, and extent of fracturing, AVOA analysis can be marginally successful. A study of the robustness and limitations of AVOA analysis is therefore first classified with synthetic data. These methods are then applied to seismic data collected during an Ocean Bottom Cable (OBC) survey over a known fractured reservoir. Massachusetts Institute of Technology. Earth Resources Laboratory United States. Dept. of Energy (Grant DE-FC26-02NT15346) Eni S.p.A. (Firm) 2011-12-21T23:06:15Z 2011-12-21T23:06:15Z 2003 Technical Report http://hdl.handle.net/1721.1/67865 Earth Resources Laboratory Industry Consortia Annual Report;2003-09 application/pdf Massachusetts Institute of Technology. Earth Resources Laboratory |
| spellingShingle | Minsley, Burke J. Burns, Daniel R. Willis, Mark E. Fractured Reservoir Characterization using Azimuthal AVO |
| title | Fractured Reservoir Characterization using Azimuthal AVO |
| title_full | Fractured Reservoir Characterization using Azimuthal AVO |
| title_fullStr | Fractured Reservoir Characterization using Azimuthal AVO |
| title_full_unstemmed | Fractured Reservoir Characterization using Azimuthal AVO |
| title_short | Fractured Reservoir Characterization using Azimuthal AVO |
| title_sort | fractured reservoir characterization using azimuthal avo |
| url | http://hdl.handle.net/1721.1/67865 |
| work_keys_str_mv | AT minsleyburkej fracturedreservoircharacterizationusingazimuthalavo AT burnsdanielr fracturedreservoircharacterizationusingazimuthalavo AT willismarke fracturedreservoircharacterizationusingazimuthalavo |