Wavefield-reconstruction-based full waveform inversion on noisy data in seismic exploration
Full waveform inversion (FWI) is commonly used in seismic exploration to calculate parameters of the medium, such as velocity, from the signal as it passes through the medium. To obtain an accurate result, FWI usually needs to have an initial model that is not too far from the true velocity model. H...
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Earth Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/feart.2024.1463723/full |
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| author | Yuwei Yu Yuwei Yu Yuwei Yu Zhefeng Wei Zhefeng Wei Zhefeng Wei Xiaofeng Jia Xiaofeng Jia Xiaofeng Jia Chenghong Zhu Chenghong Zhu Chenghong Zhu |
| author_facet | Yuwei Yu Yuwei Yu Yuwei Yu Zhefeng Wei Zhefeng Wei Zhefeng Wei Xiaofeng Jia Xiaofeng Jia Xiaofeng Jia Chenghong Zhu Chenghong Zhu Chenghong Zhu |
| author_sort | Yuwei Yu |
| collection | DOAJ |
| description | Full waveform inversion (FWI) is commonly used in seismic exploration to calculate parameters of the medium, such as velocity, from the signal as it passes through the medium. To obtain an accurate result, FWI usually needs to have an initial model that is not too far from the true velocity model. However, using noisy low-frequency data to build the initial model can be a challenge for FWI in practice. To solve this problem, we propose a wavefield reconstruction method based on the first type of Rayleigh–Sommerfeld integral and apply the multiple reconstructed wavefield (MRW) to the gradient calculation. The MRW combines different reconstructed wavefields, and those wavefield components with similar properties are enhanced by superposition. The reflected waves, which are critical for updating the deep portions of the velocity model, are strengthened in the MRW to significantly reduce the negative effects of data noise when calculating FWI gradients. The MRW optimizes the gradient of the FWI, yielding high-quality results despite noise interference. Incorporating the MRW into the FWI effectively mitigates overfitting problems associated with noisy data and improves the robustness of the FWI. |
| format | Article |
| id | doaj-art-6596e0251ff84b319556c8464e4ff7ab |
| institution | Kabale University |
| issn | 2296-6463 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Earth Science |
| spelling | doaj-art-6596e0251ff84b319556c8464e4ff7ab2025-01-06T06:59:11ZengFrontiers Media S.A.Frontiers in Earth Science2296-64632025-01-011210.3389/feart.2024.14637231463723Wavefield-reconstruction-based full waveform inversion on noisy data in seismic explorationYuwei Yu0Yuwei Yu1Yuwei Yu2Zhefeng Wei3Zhefeng Wei4Zhefeng Wei5Xiaofeng Jia6Xiaofeng Jia7Xiaofeng Jia8Chenghong Zhu9Chenghong Zhu10Chenghong Zhu11State Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Effective Development, Beijing, ChinaSinopec Key Laboratory of Seismic Elastic Wave Technology, Beijing, ChinaLaboratory of Seismology and Physics of Earth’s Interior, School of Earth and Space Sciences, University of Science and Technology of China, Hefei, Anhui, ChinaState Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Effective Development, Beijing, ChinaSinopec Key Laboratory of Seismic Elastic Wave Technology, Beijing, ChinaSinopec Petroleum Exploration and Production Research Institute, Beijing, ChinaState Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Effective Development, Beijing, ChinaSinopec Key Laboratory of Seismic Elastic Wave Technology, Beijing, ChinaLaboratory of Seismology and Physics of Earth’s Interior, School of Earth and Space Sciences, University of Science and Technology of China, Hefei, Anhui, ChinaState Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Effective Development, Beijing, ChinaSinopec Key Laboratory of Seismic Elastic Wave Technology, Beijing, ChinaSinopec Petroleum Exploration and Production Research Institute, Beijing, ChinaFull waveform inversion (FWI) is commonly used in seismic exploration to calculate parameters of the medium, such as velocity, from the signal as it passes through the medium. To obtain an accurate result, FWI usually needs to have an initial model that is not too far from the true velocity model. However, using noisy low-frequency data to build the initial model can be a challenge for FWI in practice. To solve this problem, we propose a wavefield reconstruction method based on the first type of Rayleigh–Sommerfeld integral and apply the multiple reconstructed wavefield (MRW) to the gradient calculation. The MRW combines different reconstructed wavefields, and those wavefield components with similar properties are enhanced by superposition. The reflected waves, which are critical for updating the deep portions of the velocity model, are strengthened in the MRW to significantly reduce the negative effects of data noise when calculating FWI gradients. The MRW optimizes the gradient of the FWI, yielding high-quality results despite noise interference. Incorporating the MRW into the FWI effectively mitigates overfitting problems associated with noisy data and improves the robustness of the FWI.https://www.frontiersin.org/articles/10.3389/feart.2024.1463723/fullfull waveform inversion (FWI)noisy datamodellingRayleigh–Sommerfeld integralKirchhoff integral |
| spellingShingle | Yuwei Yu Yuwei Yu Yuwei Yu Zhefeng Wei Zhefeng Wei Zhefeng Wei Xiaofeng Jia Xiaofeng Jia Xiaofeng Jia Chenghong Zhu Chenghong Zhu Chenghong Zhu Wavefield-reconstruction-based full waveform inversion on noisy data in seismic exploration Frontiers in Earth Science full waveform inversion (FWI) noisy data modelling Rayleigh–Sommerfeld integral Kirchhoff integral |
| title | Wavefield-reconstruction-based full waveform inversion on noisy data in seismic exploration |
| title_full | Wavefield-reconstruction-based full waveform inversion on noisy data in seismic exploration |
| title_fullStr | Wavefield-reconstruction-based full waveform inversion on noisy data in seismic exploration |
| title_full_unstemmed | Wavefield-reconstruction-based full waveform inversion on noisy data in seismic exploration |
| title_short | Wavefield-reconstruction-based full waveform inversion on noisy data in seismic exploration |
| title_sort | wavefield reconstruction based full waveform inversion on noisy data in seismic exploration |
| topic | full waveform inversion (FWI) noisy data modelling Rayleigh–Sommerfeld integral Kirchhoff integral |
| url | https://www.frontiersin.org/articles/10.3389/feart.2024.1463723/full |
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