Using image warping for time-lapse image domain wavefield tomography
Time-lapse seismic data are widely used for monitoring subsurface changes. A quantitative assessment of how reservoir properties have changed allows for better interpretation of fluid substitution and fluid migration during processes such as oil and gas production and carbon sequestration. Full-wave...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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Society of Exploration Geophysicists
2014
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| Online Access: | http://hdl.handle.net/1721.1/89654 https://orcid.org/0000-0002-8814-5495 |
| _version_ | 1826200910590640128 |
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| author | Yang, Di Malcolm, Alison E. Fehler, Michael |
| 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 Yang, Di Malcolm, Alison E. Fehler, Michael |
| author_sort | Yang, Di |
| collection | MIT |
| description | Time-lapse seismic data are widely used for monitoring subsurface changes. A quantitative assessment of how reservoir properties have changed allows for better interpretation of fluid substitution and fluid migration during processes such as oil and gas production and carbon sequestration. Full-waveform inversion (FWI) has been proposed as a way to retrieve quantitative estimates of subsurface properties through seismic waveform fitting. However, for some monitoring systems, the offset range versus depth of interest is not large enough to provide information about the low-wavenumber component of the velocity model. We evaluated an image domain wavefield tomography (IDWT) method using the local warping between baseline and monitor images as the cost function. This cost function is sensitive to volumetric velocity anomalies, and it is capable of handling large velocity changes with very limited acquisition apertures, where traditional FWI fails. We described the theory and workflow of our method. Layered model examples were used to investigate the performance of the algorithm and its robustness to velocity errors and acquisition geometry perturbations. The Marmousi model was used to simulate a realistic situation in which IDWT successfully recovers time-lapse velocity changes. |
| first_indexed | 2024-09-23T11:43:38Z |
| format | Article |
| id | mit-1721.1/89654 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T11:43:38Z |
| publishDate | 2014 |
| publisher | Society of Exploration Geophysicists |
| record_format | dspace |
| spelling | mit-1721.1/896542022-10-01T05:33:29Z Using image warping for time-lapse image domain wavefield tomography Yang, Di Malcolm, Alison E. Fehler, Michael Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences Massachusetts Institute of Technology. Earth Resources Laboratory Yang, Di Malcolm, Alison E. Fehler, Michael Time-lapse seismic data are widely used for monitoring subsurface changes. A quantitative assessment of how reservoir properties have changed allows for better interpretation of fluid substitution and fluid migration during processes such as oil and gas production and carbon sequestration. Full-waveform inversion (FWI) has been proposed as a way to retrieve quantitative estimates of subsurface properties through seismic waveform fitting. However, for some monitoring systems, the offset range versus depth of interest is not large enough to provide information about the low-wavenumber component of the velocity model. We evaluated an image domain wavefield tomography (IDWT) method using the local warping between baseline and monitor images as the cost function. This cost function is sensitive to volumetric velocity anomalies, and it is capable of handling large velocity changes with very limited acquisition apertures, where traditional FWI fails. We described the theory and workflow of our method. Layered model examples were used to investigate the performance of the algorithm and its robustness to velocity errors and acquisition geometry perturbations. The Marmousi model was used to simulate a realistic situation in which IDWT successfully recovers time-lapse velocity changes. Massachusetts Institute of Technology. Earth Resources Laboratory (Founding Members Consortium) 2014-09-16T19:38:51Z 2014-09-16T19:38:51Z 2014-05 2014-02 Article http://purl.org/eprint/type/JournalArticle 0016-8033 1942-2156 http://hdl.handle.net/1721.1/89654 Yang, Di, Alison Malcolm, and Michael Fehler. “Using Image Warping for Time-Lapse Image Domain Wavefield Tomography.” GEOPHYSICS 79, no. 3 (May 2014): WA141–WA151. https://orcid.org/0000-0002-8814-5495 en_US http://dx.doi.org/10.1190/geo2013-0424.1 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 Geophysicists |
| spellingShingle | Yang, Di Malcolm, Alison E. Fehler, Michael Using image warping for time-lapse image domain wavefield tomography |
| title | Using image warping for time-lapse image domain wavefield tomography |
| title_full | Using image warping for time-lapse image domain wavefield tomography |
| title_fullStr | Using image warping for time-lapse image domain wavefield tomography |
| title_full_unstemmed | Using image warping for time-lapse image domain wavefield tomography |
| title_short | Using image warping for time-lapse image domain wavefield tomography |
| title_sort | using image warping for time lapse image domain wavefield tomography |
| url | http://hdl.handle.net/1721.1/89654 https://orcid.org/0000-0002-8814-5495 |
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