Source-independent elastic envelope inversion using the convolution method
Elastic full waveform inversion (EFWI) is a powerful technique. However, its strong non-linearity makes it susceptible to converging towards local extremes during the iterative process due to various factors like insufficient low-frequency information or an inadequate initial model. The existing ela...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-09-01
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| Series: | Frontiers in Earth Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/feart.2023.1259710/full |
| _version_ | 1797691066325925888 |
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| author | Fang Li Xiaozhang Li Ting Ren Guangke Ma Bingshou He Bingshou He Jichuan Wang |
| author_facet | Fang Li Xiaozhang Li Ting Ren Guangke Ma Bingshou He Bingshou He Jichuan Wang |
| author_sort | Fang Li |
| collection | DOAJ |
| description | Elastic full waveform inversion (EFWI) is a powerful technique. However, its strong non-linearity makes it susceptible to converging towards local extremes during the iterative process due to various factors like insufficient low-frequency information or an inadequate initial model. The existing elastic envelope inversion can offer a promising initial model for EFWI when low-frequency information is unavailable, reducing the dependence on both the initial model and low-frequency data. However, its accuracy is affected by the quality of the source wavelet, potentially causing the EFWI to run in the wrong direction if there is a discrepancy between the simulated wavelet and the field wavelet. To address these issues and enhance the reconstruction of large-scale information in the model, we propose a novel approach called source-independent elastic envelope inversion, employing the convolution method. By combining this method with source-independent multiscale EFWI, we effectively establish P- and S-wave velocity models even in situations with inaccurate wavelet information. The results of testing on a portion of the Marmousi2 model demonstrate the effectiveness of this technique for both full-band and low-frequency missing data scenarios. |
| first_indexed | 2024-03-12T02:08:08Z |
| format | Article |
| id | doaj.art-5a60be32326842a3ab78facb6736819a |
| institution | Directory Open Access Journal |
| issn | 2296-6463 |
| language | English |
| last_indexed | 2024-03-12T02:08:08Z |
| publishDate | 2023-09-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Earth Science |
| spelling | doaj.art-5a60be32326842a3ab78facb6736819a2023-09-06T19:32:55ZengFrontiers Media S.A.Frontiers in Earth Science2296-64632023-09-011110.3389/feart.2023.12597101259710Source-independent elastic envelope inversion using the convolution methodFang Li0Xiaozhang Li1Ting Ren2Guangke Ma3Bingshou He4Bingshou He5Jichuan Wang6CNOOC China Limited, Hainan Branch, Haikou, ChinaCNOOC China Limited, Hainan Branch, Haikou, ChinaCNOOC China Limited, Hainan Branch, Haikou, ChinaCNOOC China Limited, Hainan Branch, Haikou, ChinaEvaluation and Detection Technology Laboratory of Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology, Qingdao, ChinaKey Lab of Submarine Geoscience and Prospecting Techniques, Ministry of Education, Ocean University of China, Qingdao, ChinaCNOOC China Limited, Hainan Branch, Haikou, ChinaElastic full waveform inversion (EFWI) is a powerful technique. However, its strong non-linearity makes it susceptible to converging towards local extremes during the iterative process due to various factors like insufficient low-frequency information or an inadequate initial model. The existing elastic envelope inversion can offer a promising initial model for EFWI when low-frequency information is unavailable, reducing the dependence on both the initial model and low-frequency data. However, its accuracy is affected by the quality of the source wavelet, potentially causing the EFWI to run in the wrong direction if there is a discrepancy between the simulated wavelet and the field wavelet. To address these issues and enhance the reconstruction of large-scale information in the model, we propose a novel approach called source-independent elastic envelope inversion, employing the convolution method. By combining this method with source-independent multiscale EFWI, we effectively establish P- and S-wave velocity models even in situations with inaccurate wavelet information. The results of testing on a portion of the Marmousi2 model demonstrate the effectiveness of this technique for both full-band and low-frequency missing data scenarios.https://www.frontiersin.org/articles/10.3389/feart.2023.1259710/fullelastic full waveform inversionenvelope objective functionconvolution methodlow frequency modelsource independent |
| spellingShingle | Fang Li Xiaozhang Li Ting Ren Guangke Ma Bingshou He Bingshou He Jichuan Wang Source-independent elastic envelope inversion using the convolution method Frontiers in Earth Science elastic full waveform inversion envelope objective function convolution method low frequency model source independent |
| title | Source-independent elastic envelope inversion using the convolution method |
| title_full | Source-independent elastic envelope inversion using the convolution method |
| title_fullStr | Source-independent elastic envelope inversion using the convolution method |
| title_full_unstemmed | Source-independent elastic envelope inversion using the convolution method |
| title_short | Source-independent elastic envelope inversion using the convolution method |
| title_sort | source independent elastic envelope inversion using the convolution method |
| topic | elastic full waveform inversion envelope objective function convolution method low frequency model source independent |
| url | https://www.frontiersin.org/articles/10.3389/feart.2023.1259710/full |
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