Hybrid-Driven High-Resolution Prestack Seismic Inversion
Prestack seismic inversion is considered among the most frequently utilized techniques for reservoir characterization. However, the resolution of the inverted parameters, such as P-, S-wave velocity, and density, is low due to the limited bandwidth and side-lobe interference of the seismic wavelet....
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10278412/ |
| _version_ | 1827769221911674880 |
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| author | Jian Zhang Xiaoyan Zhao Hui Sun Jingye Li Xiaohong Chen |
| author_facet | Jian Zhang Xiaoyan Zhao Hui Sun Jingye Li Xiaohong Chen |
| author_sort | Jian Zhang |
| collection | DOAJ |
| description | Prestack seismic inversion is considered among the most frequently utilized techniques for reservoir characterization. However, the resolution of the inverted parameters, such as P-, S-wave velocity, and density, is low due to the limited bandwidth and side-lobe interference of the seismic wavelet. To address this issue, a hybrid two-step strategy that combines data-driven and model-driven methods is proposed to enable higher resolution and accuracy of the inverted results. We first construct a three-layer fully connected network to implement the mapping of seismic data to reflection coefficients. The method does not require exact seismic wavelet to be known and intensive human-computer interaction. It estimates reflectivity based on the extracted features from training data, which gives more accurate results compared with traditional sparse inversion methods. Then, the model-driven method (i.e., amplitude variation with offset/angle inversion method) is adopted to reconstruct P-wave velocity, S-wave velocity, and density from the estimated reflection coefficients. The performance of the hybrid-driven strategy is checked using synthetic model and real data. The results indicate that the proposed method provides more accurate and higher resolution inversion results for seismic reservoir characterization. |
| first_indexed | 2024-03-11T12:22:16Z |
| format | Article |
| id | doaj.art-e7b710108b1447aebc5ea563499dfe71 |
| institution | Directory Open Access Journal |
| issn | 2151-1535 |
| language | English |
| last_indexed | 2024-03-11T12:22:16Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj.art-e7b710108b1447aebc5ea563499dfe712023-11-07T00:00:38ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352023-01-01169448945810.1109/JSTARS.2023.332369610278412Hybrid-Driven High-Resolution Prestack Seismic InversionJian Zhang0https://orcid.org/0000-0002-9402-5967Xiaoyan Zhao1https://orcid.org/0000-0002-7656-7594Hui Sun2https://orcid.org/0000-0002-6334-2409Jingye Li3https://orcid.org/0000-0001-8304-9229Xiaohong Chen4https://orcid.org/0000-0003-0578-6009Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, ChinaFaculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, ChinaFaculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, ChinaState Key Laboratory of Petroleum Resources and Prospecting, National Engineering Laboratory for Offshore Oil Exploration, China University of Petroleum-Beijing, Beijing, ChinaState Key Laboratory of Petroleum Resources and Prospecting, National Engineering Laboratory for Offshore Oil Exploration, China University of Petroleum-Beijing, Beijing, ChinaPrestack seismic inversion is considered among the most frequently utilized techniques for reservoir characterization. However, the resolution of the inverted parameters, such as P-, S-wave velocity, and density, is low due to the limited bandwidth and side-lobe interference of the seismic wavelet. To address this issue, a hybrid two-step strategy that combines data-driven and model-driven methods is proposed to enable higher resolution and accuracy of the inverted results. We first construct a three-layer fully connected network to implement the mapping of seismic data to reflection coefficients. The method does not require exact seismic wavelet to be known and intensive human-computer interaction. It estimates reflectivity based on the extracted features from training data, which gives more accurate results compared with traditional sparse inversion methods. Then, the model-driven method (i.e., amplitude variation with offset/angle inversion method) is adopted to reconstruct P-wave velocity, S-wave velocity, and density from the estimated reflection coefficients. The performance of the hybrid-driven strategy is checked using synthetic model and real data. The results indicate that the proposed method provides more accurate and higher resolution inversion results for seismic reservoir characterization.https://ieeexplore.ieee.org/document/10278412/Data-drivenmodel-drivenprestack inversionreservoir characterization |
| spellingShingle | Jian Zhang Xiaoyan Zhao Hui Sun Jingye Li Xiaohong Chen Hybrid-Driven High-Resolution Prestack Seismic Inversion IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Data-driven model-driven prestack inversion reservoir characterization |
| title | Hybrid-Driven High-Resolution Prestack Seismic Inversion |
| title_full | Hybrid-Driven High-Resolution Prestack Seismic Inversion |
| title_fullStr | Hybrid-Driven High-Resolution Prestack Seismic Inversion |
| title_full_unstemmed | Hybrid-Driven High-Resolution Prestack Seismic Inversion |
| title_short | Hybrid-Driven High-Resolution Prestack Seismic Inversion |
| title_sort | hybrid driven high resolution prestack seismic inversion |
| topic | Data-driven model-driven prestack inversion reservoir characterization |
| url | https://ieeexplore.ieee.org/document/10278412/ |
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