Study of Shale Gas Source Rock S-Wave Structure Characteristics via Dense Array Ambient Noise Tomography in Zhangjiakou, China
Utilizing short-period dense seismic arrays, ambient noise tomography has proven effective in delineating continuous geological structures, a task critical for characterizing shale gas reservoir configurations. This study deployed 153 short-period seismic stations across the Xiahuayuan District in Z...
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| Format: | Article |
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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/2072-4292/17/2/183 |
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| author | Si Chen Zhanwu Lu Haiyan Wang Qingyu Wu Wei Cai Guowei Wu Guangwen Wang |
| author_facet | Si Chen Zhanwu Lu Haiyan Wang Qingyu Wu Wei Cai Guowei Wu Guangwen Wang |
| author_sort | Si Chen |
| collection | DOAJ |
| description | Utilizing short-period dense seismic arrays, ambient noise tomography has proven effective in delineating continuous geological structures, a task critical for characterizing shale gas reservoir configurations. This study deployed 153 short-period seismic stations across the Xiahuayuan District in Zhangjiakou, a region with prospective shale gas deposits, to perform an ambient noise tomography survey. Through a meticulous process involving cross-correlation analysis, dispersion curve extraction, and subsequent inversion, a three-dimensional velocity structure model of the area was constructed. The model discerns subtle velocity changes within the 0–3 km depth interval, achieving a horizontal resolution of approximately 1.5 km in the 0–3 km stratum, thereby effectively delineating the shale reservoir structure. Integration of the velocity model with regional geological data facilitated a comprehensive interpretation and structural analysis of the prospective shale gas zone. Low-velocity anomalies observed within the velocity structure correspond to the spatial distribution of the Xiahuayuan Formation, likely attributable to the prevalent stratum of mudstone shale deposits within this formation. Employing a binary stratigraphic model, the study predicted shale content based on the velocity structure, with predictions exhibiting a moderate correlation (correlation coefficient of 0.58) with empirical data. This suggests the presented method as a viable rapid estimation technique for assessing the shale content of target strata. |
| format | Article |
| id | doaj-art-e850ea4d07c142608ebdbbe0637038cd |
| institution | Kabale University |
| issn | 2072-4292 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-e850ea4d07c142608ebdbbe0637038cd2025-01-24T13:47:39ZengMDPI AGRemote Sensing2072-42922025-01-0117218310.3390/rs17020183Study of Shale Gas Source Rock S-Wave Structure Characteristics via Dense Array Ambient Noise Tomography in Zhangjiakou, ChinaSi Chen0Zhanwu Lu1Haiyan Wang2Qingyu Wu3Wei Cai4Guowei Wu5Guangwen Wang6Institute of Geology, Chinese Academy of Geological Sciences, Beijing 100037, ChinaInstitute of Geology, Chinese Academy of Geological Sciences, Beijing 100037, ChinaInstitute of Geology, Chinese Academy of Geological Sciences, Beijing 100037, ChinaInstitute of Geology, Chinese Academy of Geological Sciences, Beijing 100037, ChinaInstitute of Geology, Chinese Academy of Geological Sciences, Beijing 100037, ChinaInstitute of Geology, Chinese Academy of Geological Sciences, Beijing 100037, ChinaInstitute of Geology, Chinese Academy of Geological Sciences, Beijing 100037, ChinaUtilizing short-period dense seismic arrays, ambient noise tomography has proven effective in delineating continuous geological structures, a task critical for characterizing shale gas reservoir configurations. This study deployed 153 short-period seismic stations across the Xiahuayuan District in Zhangjiakou, a region with prospective shale gas deposits, to perform an ambient noise tomography survey. Through a meticulous process involving cross-correlation analysis, dispersion curve extraction, and subsequent inversion, a three-dimensional velocity structure model of the area was constructed. The model discerns subtle velocity changes within the 0–3 km depth interval, achieving a horizontal resolution of approximately 1.5 km in the 0–3 km stratum, thereby effectively delineating the shale reservoir structure. Integration of the velocity model with regional geological data facilitated a comprehensive interpretation and structural analysis of the prospective shale gas zone. Low-velocity anomalies observed within the velocity structure correspond to the spatial distribution of the Xiahuayuan Formation, likely attributable to the prevalent stratum of mudstone shale deposits within this formation. Employing a binary stratigraphic model, the study predicted shale content based on the velocity structure, with predictions exhibiting a moderate correlation (correlation coefficient of 0.58) with empirical data. This suggests the presented method as a viable rapid estimation technique for assessing the shale content of target strata.https://www.mdpi.com/2072-4292/17/2/183dense arrayambient noise tomographyshear wave velocity structureshale gas reservoir |
| spellingShingle | Si Chen Zhanwu Lu Haiyan Wang Qingyu Wu Wei Cai Guowei Wu Guangwen Wang Study of Shale Gas Source Rock S-Wave Structure Characteristics via Dense Array Ambient Noise Tomography in Zhangjiakou, China Remote Sensing dense array ambient noise tomography shear wave velocity structure shale gas reservoir |
| title | Study of Shale Gas Source Rock S-Wave Structure Characteristics via Dense Array Ambient Noise Tomography in Zhangjiakou, China |
| title_full | Study of Shale Gas Source Rock S-Wave Structure Characteristics via Dense Array Ambient Noise Tomography in Zhangjiakou, China |
| title_fullStr | Study of Shale Gas Source Rock S-Wave Structure Characteristics via Dense Array Ambient Noise Tomography in Zhangjiakou, China |
| title_full_unstemmed | Study of Shale Gas Source Rock S-Wave Structure Characteristics via Dense Array Ambient Noise Tomography in Zhangjiakou, China |
| title_short | Study of Shale Gas Source Rock S-Wave Structure Characteristics via Dense Array Ambient Noise Tomography in Zhangjiakou, China |
| title_sort | study of shale gas source rock s wave structure characteristics via dense array ambient noise tomography in zhangjiakou china |
| topic | dense array ambient noise tomography shear wave velocity structure shale gas reservoir |
| url | https://www.mdpi.com/2072-4292/17/2/183 |
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