Data-driven estimation of the sensitivity of target-oriented time-lapse seismic imaging to source geometry
The goal of time-lapse imaging is to identify and characterize regions in which the earth’s material properties have changed between surveys. This requires an effective deployment of sources and receivers to monitor the region where changes are anticipated. Because each source adds to the acquisitio...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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Society of Exploration Geophysicists
2013
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| Online Access: | http://hdl.handle.net/1721.1/80367 https://orcid.org/0000-0002-8814-5495 |
| _version_ | 1811076358638403584 |
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| author | Fehler, Michael Shabelansky, Andrey Hanan Malcolm, Alison E. |
| author2 | Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences |
| author_facet | Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences Fehler, Michael Shabelansky, Andrey Hanan Malcolm, Alison E. |
| author_sort | Fehler, Michael |
| collection | MIT |
| description | The goal of time-lapse imaging is to identify and characterize regions in which the earth’s material properties have changed between surveys. This requires an effective deployment of sources and receivers to monitor the region where changes are anticipated. Because each source adds to the acquisition cost, we should ensure that only those sources that best image the target are collected and used to form an image of the target region. This study presents a data-driven approach that estimates the sensitivity of target-oriented imaging to source geometry. The approach is based on the propagation of the recorded baseline seismic data backward in time through the entire medium and coupling it with the estimated perturbation in the subsurface. We test this approach using synthetic surface seismic and time-lapse VSP field-data from the SACROC field. These tests show that the use of the baseline seismic data enhances the robustness of the sensitivity estimate to errors, and can be used to select data that best image a target zone, thus increasing the signal-to-noise ratio of the image of the target region and reducing the cost of time-lapse acquisition, processing, and imaging. |
| first_indexed | 2024-09-23T10:19:49Z |
| format | Article |
| id | mit-1721.1/80367 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T10:19:49Z |
| publishDate | 2013 |
| publisher | Society of Exploration Geophysicists |
| record_format | dspace |
| spelling | mit-1721.1/803672022-09-26T17:15:46Z Data-driven estimation of the sensitivity of target-oriented time-lapse seismic imaging to source geometry Fehler, Michael Shabelansky, Andrey Hanan Malcolm, Alison E. Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences Massachusetts Institute of Technology. Earth Resources Laboratory Shabelansky, Andrey Hanan Malcolm, Alison E. Fehler, Michael The goal of time-lapse imaging is to identify and characterize regions in which the earth’s material properties have changed between surveys. This requires an effective deployment of sources and receivers to monitor the region where changes are anticipated. Because each source adds to the acquisition cost, we should ensure that only those sources that best image the target are collected and used to form an image of the target region. This study presents a data-driven approach that estimates the sensitivity of target-oriented imaging to source geometry. The approach is based on the propagation of the recorded baseline seismic data backward in time through the entire medium and coupling it with the estimated perturbation in the subsurface. We test this approach using synthetic surface seismic and time-lapse VSP field-data from the SACROC field. These tests show that the use of the baseline seismic data enhances the robustness of the sensitivity estimate to errors, and can be used to select data that best image a target zone, thus increasing the signal-to-noise ratio of the image of the target region and reducing the cost of time-lapse acquisition, processing, and imaging. Massachusetts Institute of Technology. Earth Resources Laboratory 2013-09-06T16:32:58Z 2013-09-06T16:32:58Z 2013-03 2012-05 Article http://purl.org/eprint/type/JournalArticle 0016-8033 1942-2156 http://hdl.handle.net/1721.1/80367 Shabelansky, Andrey H., Alison Malcolm, and Michael Fehler. “Data-driven estimation of the sensitivity of target-oriented time-lapse seismic imaging to source geometry.” GEOPHYSICS 78, no. 2 (March 2013): R47-R58. © 2013 Society of Exploration Geophysicists https://orcid.org/0000-0002-8814-5495 en_US http://dx.doi.org/10.1190/GEO2012-0175.1 GEOPHYSICS Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Society of Exploration Geophysicists Society of Exploration Geophysics |
| spellingShingle | Fehler, Michael Shabelansky, Andrey Hanan Malcolm, Alison E. Data-driven estimation of the sensitivity of target-oriented time-lapse seismic imaging to source geometry |
| title | Data-driven estimation of the sensitivity of target-oriented time-lapse seismic imaging to source geometry |
| title_full | Data-driven estimation of the sensitivity of target-oriented time-lapse seismic imaging to source geometry |
| title_fullStr | Data-driven estimation of the sensitivity of target-oriented time-lapse seismic imaging to source geometry |
| title_full_unstemmed | Data-driven estimation of the sensitivity of target-oriented time-lapse seismic imaging to source geometry |
| title_short | Data-driven estimation of the sensitivity of target-oriented time-lapse seismic imaging to source geometry |
| title_sort | data driven estimation of the sensitivity of target oriented time lapse seismic imaging to source geometry |
| url | http://hdl.handle.net/1721.1/80367 https://orcid.org/0000-0002-8814-5495 |
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