Vote for your favorite mineral in #MinCup25! - Carpathite vs. Leucite
Brace for oddness in a match between one of the very few hydrocarbon minerals carpathite and the temperature-flipping mineral leucite.
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Yan, Hao, Yan, Zhe, Jing, Jiankun, Zhang, Zheng, Li, Haiying, Gu, Hanming, Liu, Shaoyong (2024) Enhancing the seismic response of faults by using a deep learning‐based method. Geophysical Prospecting, 72 (7). doi:10.1111/1365-2478.13549

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleEnhancing the seismic response of faults by using a deep learning‐based method
JournalGeophysical Prospecting
AuthorsYan, HaoAuthor
Yan, ZheAuthor
Jing, JiankunAuthor
Zhang, ZhengAuthor
Li, HaiyingAuthor
Gu, HanmingAuthor
Liu, ShaoyongAuthor
Year2024 (September)Volume72
Issue7
PublisherWiley
DOIdoi:10.1111/1365-2478.13549Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID17560315Long-form Identifiermindat:1:5:17560315:4
GUID0
Full ReferenceYan, Hao, Yan, Zhe, Jing, Jiankun, Zhang, Zheng, Li, Haiying, Gu, Hanming, Liu, Shaoyong (2024) Enhancing the seismic response of faults by using a deep learning‐based method. Geophysical Prospecting, 72 (7). doi:10.1111/1365-2478.13549
Plain TextYan, Hao, Yan, Zhe, Jing, Jiankun, Zhang, Zheng, Li, Haiying, Gu, Hanming, Liu, Shaoyong (2024) Enhancing the seismic response of faults by using a deep learning‐based method. Geophysical Prospecting, 72 (7). doi:10.1111/1365-2478.13549
In(2024, September) Geophysical Prospecting Vol. 72 (7). Wiley

See Also

These are possibly similar items as determined by title/reference text matching only.

Zhang, Zheng, Li, Haiying, Yan, Zhe, Jing, Jiankun, Gu, Hanming (2024) Deep carbonate fault–karst reservoir characterization by multi‐task learning. Geophysical Prospecting, 72 (3) 1092-1106 doi:10.1111/1365-2478.13460
Zhang, Zheng, Yan, Zhe, Li, Haiying, Jing, Jiankun, Yan, Hao, Gu, Hanming (2025) 3-D Seismic Fault Detection Using Fault Orthogonal Annotation and Barely Supervised Learning. IEEE Transactions on Geoscience and Remote Sensing, 63. doi:10.1109/tgrs.2025.3531493
Liu, Shaoyong, Yan, Zhe, Zhu, Wenting, Han, Bingkai, Gu, Hanming, Hu, Shanzheng (2021) An illumination‐compensated Gaussian beam migration for enhancing subsalt imaging. Geophysical Prospecting, 69 (7) 1433-1440 doi:10.1111/1365-2478.13117
Jing, Jiankun, Yan, Zhe, Gong, Wei, Li, Haiying, Zhang, Zheng, Gu, Hanming (2024) Synthesizing a realistic seismic training data set incorporating prior geologic patterns and seismic imaging features for supervised convolutional neural network-based intracratonic strike-slip fault detection. GEOPHYSICS, 89 (5). doi:10.1190/geo2024-0007.1
Li, Zongjie, Li, Haiying, Liu, Jun, Deng, Guangxiao, Gu, Hanming, Yan, Zhe (2024) 3D seismic intelligent prediction of fault-controlled fractured-vuggy reservoirs in carbonate reservoirs based on a deep learning method. Journal of Geophysics and Engineering, 21 (2) 345-358 doi:10.1093/jge/gxae005
Zhe, Yan, Hanming, Gu (2013) Non-linear prestack seismic inversion with global optimization using an edge-preserving smoothing filter. Geophysical Prospecting, 61 (4) 747-760 doi:10.1111/1365-2478.12001
Yang, Jie Fei, Luo, Xia, Liu, Dezhi, Gu, Hanming, Sun, Ming (2024) Seismic noise attenuation method based on low‐rank adaptive symplectic geometry decomposition. Geophysical Prospecting, 72 (6). doi:10.1111/1365-2478.13504
Jing, Jiankun, Yan, Zhe, Zhang, Zheng, Gu, Hanming, Han, Bingkai (2023) Fault detection using a convolutional neural network trained with point-spread function-convolution-based samples. GEOPHYSICS, 88 (1) doi:10.1190/geo2021-0824.1
Liu, Shaoyong, Yan, Zhe, Gu, Hanming, Tang, Yongjie, Liu, Chuncheng (2019) Imaging artefacts of artificial diving waves in reverse time migration: cause analysis in the angle domain and an effective removal strategy. Geophysical Prospecting, 67 (3) 496-507 doi:10.1111/1365-2478.12748
Yan, Zhe, Liu, Shaoyong, Gu, Hanming (2019) Fault image enhancement using a forward and backward diffusion method. Computers & Geosciences, 131. 1-14 doi:10.1016/j.cageo.2019.06.004
Sun, Jing, Hou, Song (2024) Improving signal fidelity for deep learning‐based seismic interference noise attenuation. Geophysical Prospecting, 72 (1) 142-154 doi:10.1111/1365-2478.13268
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are © OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: September 6, 2025 02:21:45
Go to top of page