Seismic Interferometry for Single-Channel Data: A Promising Approach for Improved Offshore Wind Farm Evaluation
Single-channel seismic (SCS) methods play a crucial role in offshore wind farm assessments, offering rapid and continuous imaging of the subsurface. Conventional SCS methods often fall short in resolution and signal completeness, leading to potential misinterpretations of geological structures. In t...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/17/2/325 |
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| author | Rui Wang Bin Hu Hairong Zhang Peizhen Zhang Canping Li Fengying Chen |
| author_facet | Rui Wang Bin Hu Hairong Zhang Peizhen Zhang Canping Li Fengying Chen |
| author_sort | Rui Wang |
| collection | DOAJ |
| description | Single-channel seismic (SCS) methods play a crucial role in offshore wind farm assessments, offering rapid and continuous imaging of the subsurface. Conventional SCS methods often fall short in resolution and signal completeness, leading to potential misinterpretations of geological structures. In this study, we propose the application of seismic interferometry as a powerful tool to address these challenges by utilizing multiple reflections that are usually considered as noise. First, we demonstrate the feasibility of using seismic interferometry to approximate the primary wavefield. Then, we evaluate a series of seismic interferometry applied in SCS data, including cross-correlation, deconvolution, and cross-coherence, and determine the most appropriate one for our purpose. Finally, by comparing and analyzing the differences in amplitude, continuity, time–frequency properties, etc., between conventional primary wavefield information and reconstructed primary wavefield information by seismic interferometry, it is proved that incorporating multiples as supplementary information through seismic interferometry significantly enhances data reliability and resolution. The introduction of seismic interferometry provides a more detailed and accurate geological assessment crucial for optimal site selection in offshore wind farm development. |
| format | Article |
| id | doaj-art-997c6d7cd11c495a909f88efbfd97d8a |
| institution | Kabale University |
| issn | 2072-4292 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-997c6d7cd11c495a909f88efbfd97d8a2025-01-24T13:48:07ZengMDPI AGRemote Sensing2072-42922025-01-0117232510.3390/rs17020325Seismic Interferometry for Single-Channel Data: A Promising Approach for Improved Offshore Wind Farm EvaluationRui Wang0Bin Hu1Hairong Zhang2Peizhen Zhang3Canping Li4Fengying Chen5College of Electronic and Information Engineering, Guangdong Ocean University, Zhanjiang 524088, ChinaCollege of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, ChinaCollege of Electronic and Information Engineering, Guangdong Ocean University, Zhanjiang 524088, ChinaCollege of Electronic and Information Engineering, Guangdong Ocean University, Zhanjiang 524088, ChinaCollege of Electronic and Information Engineering, Guangdong Ocean University, Zhanjiang 524088, ChinaCollege of Electronic and Information Engineering, Guangdong Ocean University, Zhanjiang 524088, ChinaSingle-channel seismic (SCS) methods play a crucial role in offshore wind farm assessments, offering rapid and continuous imaging of the subsurface. Conventional SCS methods often fall short in resolution and signal completeness, leading to potential misinterpretations of geological structures. In this study, we propose the application of seismic interferometry as a powerful tool to address these challenges by utilizing multiple reflections that are usually considered as noise. First, we demonstrate the feasibility of using seismic interferometry to approximate the primary wavefield. Then, we evaluate a series of seismic interferometry applied in SCS data, including cross-correlation, deconvolution, and cross-coherence, and determine the most appropriate one for our purpose. Finally, by comparing and analyzing the differences in amplitude, continuity, time–frequency properties, etc., between conventional primary wavefield information and reconstructed primary wavefield information by seismic interferometry, it is proved that incorporating multiples as supplementary information through seismic interferometry significantly enhances data reliability and resolution. The introduction of seismic interferometry provides a more detailed and accurate geological assessment crucial for optimal site selection in offshore wind farm development.https://www.mdpi.com/2072-4292/17/2/325offshore wind farmsingle-channel seismic (SCS)seismic interferometrymultiple reflectionhigh resolution |
| spellingShingle | Rui Wang Bin Hu Hairong Zhang Peizhen Zhang Canping Li Fengying Chen Seismic Interferometry for Single-Channel Data: A Promising Approach for Improved Offshore Wind Farm Evaluation Remote Sensing offshore wind farm single-channel seismic (SCS) seismic interferometry multiple reflection high resolution |
| title | Seismic Interferometry for Single-Channel Data: A Promising Approach for Improved Offshore Wind Farm Evaluation |
| title_full | Seismic Interferometry for Single-Channel Data: A Promising Approach for Improved Offshore Wind Farm Evaluation |
| title_fullStr | Seismic Interferometry for Single-Channel Data: A Promising Approach for Improved Offshore Wind Farm Evaluation |
| title_full_unstemmed | Seismic Interferometry for Single-Channel Data: A Promising Approach for Improved Offshore Wind Farm Evaluation |
| title_short | Seismic Interferometry for Single-Channel Data: A Promising Approach for Improved Offshore Wind Farm Evaluation |
| title_sort | seismic interferometry for single channel data a promising approach for improved offshore wind farm evaluation |
| topic | offshore wind farm single-channel seismic (SCS) seismic interferometry multiple reflection high resolution |
| url | https://www.mdpi.com/2072-4292/17/2/325 |
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