Vote for your favorite mineral in #MinCup25! - Titanite vs. Thortveitite
It's a pair of T-minerals with as versatile #titanite faces off against the home of rare earth elements #thortveitite.
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

Wang, Gongwen, Zhang, Zhiqiang, Li, Ruixi, Li, Junjian, Sha, Deming, Zeng, Qingdong, Pang, Zhenshan, Li, Dapeng, Huang, Leilei (2021) Resource prediction and assessment based on 3D/4D big data modeling and deep integration in key ore districts of North China. Science China Earth Sciences, 64 (9) 1590-1606 doi:10.1007/s11430-020-9791-4

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleResource prediction and assessment based on 3D/4D big data modeling and deep integration in key ore districts of North China
JournalScience China Earth Sciences
AuthorsWang, GongwenAuthor
Zhang, ZhiqiangAuthor
Li, RuixiAuthor
Li, JunjianAuthor
Sha, DemingAuthor
Zeng, QingdongAuthor
Pang, ZhenshanAuthor
Li, DapengAuthor
Huang, LeileiAuthor
Year2021 (September)Volume64
Issue9
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1007/s11430-020-9791-4Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID13960287Long-form Identifiermindat:1:5:13960287:2
GUID0
Full ReferenceWang, Gongwen, Zhang, Zhiqiang, Li, Ruixi, Li, Junjian, Sha, Deming, Zeng, Qingdong, Pang, Zhenshan, Li, Dapeng, Huang, Leilei (2021) Resource prediction and assessment based on 3D/4D big data modeling and deep integration in key ore districts of North China. Science China Earth Sciences, 64 (9) 1590-1606 doi:10.1007/s11430-020-9791-4
Plain TextWang, Gongwen, Zhang, Zhiqiang, Li, Ruixi, Li, Junjian, Sha, Deming, Zeng, Qingdong, Pang, Zhenshan, Li, Dapeng, Huang, Leilei (2021) Resource prediction and assessment based on 3D/4D big data modeling and deep integration in key ore districts of North China. Science China Earth Sciences, 64 (9) 1590-1606 doi:10.1007/s11430-020-9791-4
In(2021, September) Science China Earth Sciences Vol. 64 (9) Springer Science and Business Media LLC

See Also

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

Zhang, Zhiqiang; Wang, Gongwen; Carranza, Emmanuel John M.; Zhang, JiaoJiao; Tao, Gaoshen; Zeng, Qingdong; Sha, Deming; Li, Dongtao; Shen, Junfeng; Pang, Zong (2019) Metallogenic model of the Wulong gold district, China, and associated assessment of exploration criteria based on multi-scale geoscience datasets. Ore Geology Reviews, 114. doi:10.1016/j.oregeorev.2019.103138
Zhu, Rixiang, Yang, Jin-Hui, Wang, Gongwen, Zeng, Qingdong, Xue, Guoqiang, Xu, Tao, Li, Xinghui, Zhang, Peng, Lei, Da, Zhu, Guang (2024) The genesis and resource potential of gold deposits in the Liaodong Peninsula. Science China Earth Sciences, 67 (3) 657-672 doi:10.1007/s11430-023-1258-4
Huang, Leilei, Wang, Gongwen, Carranza, Emmanuel John M., Du, Jingguo, Li, Junjian, Zhou, Zhangbing, Zhang, Zhiqiang, Wang, Hao, Liu, Xiaoning, Peng, Yongming, Gao, Fulei, Zhao, Xianyong (2020) Multi-scale Numerical Simulation and 3D Modeling for Deep Mineral Exploration in the Jiaojia Gold District, China. Natural Resources Research, 29 (1) 415-438 doi:10.1007/s11053-019-09608-z
Yang, Jin-Hui, Xu, Lei, Sun, Jin-Feng, Zeng, Qingdong, Zhao, Ya-Nan, Wang, Hao, Zhu, Yu-Sheng (2021) Geodynamics of decratonization and related magmatism and mineralization in the North China Craton. Science China Earth Sciences, 64 (9) 1409-1427 doi:10.1007/s11430-020-9732-6
Di, Qingyun, Xue, Guoqiang, Lei, Da, Zeng, Qingdong, Fu, Changmin, An, Zhiguo (2021) Summary of technology for a comprehensive geophysical exploration of gold mine in North China Craton. Science China Earth Sciences, 64 (9) 1524-1536 doi:10.1007/s11430-020-9818-2
Zuo, Ling, Wang, Gongwen, Carranza, Emmanuel John M., Zhai, Degao, Pang, Zhenshan, Cao, Kan, Mou, Nini, Huang, Leilei (2022) Short-Wavelength Infrared Spectral Analysis and 3D Vector Modeling for Deep Exploration in the Weilasituo Magmatic–Hydrothermal Li–Sn Polymetallic Deposit, Inner Mongolia, NE China. Natural Resources Research, 31 (6) 3121-3153 doi:10.1007/s11053-022-10111-1
Chen, Yuhao, Wang, Gongwen, Mou, Nini, Huang, Leilei, Mei, Rong, Zhang, Mingyuan (2025) Machine-Learning-Based Integrated Mining Big Data and Multi-Dimensional Ore-Forming Prediction: A Case Study of Yanshan Iron Mine, Hebei, China. Applied Sciences, 15 (8). doi:10.3390/app15084082
Zhu, RiXiang, Fan, HongRui, Li, JianWei, Meng, QingRen, Li, ShengRong, Zeng, QingDong (2015) Decratonic gold deposits. Science China Earth Sciences, 58 (9) 1523-1537 doi:10.1007/s11430-015-5139-x
Huang, Jianping, Liu, Xiaoyue, He, Yongsheng, Shen, Shuzhong, Hou, Zengqian, Li, Shuguang, Li, Changyu, Yao, Lijie, Huang, Jiping (2021) The oxygen cycle and a habitable Earth. Science China Earth Sciences, 64 (4) 511-528 doi:10.1007/s11430-020-9747-1
Xiao, Feng, Zhang, Shengkai, Li, Jiaxing, Geng, Tong, Xuan, Yue, Li, Fei (2021) Arctic sea ice thickness variations from CryoSat-2 satellite altimetry data. Science China Earth Sciences, 64 (7) 1080-1089 doi:10.1007/s11430-020-9777-9
Li, Xin, Ma, Hanqing, Ran, Youhua, Wang, Xufeng, Zhu, Gaofeng, Liu, Feng, He, Honglin, Zhang, Zhen, Huang, Chunlin (2021) Terrestrial carbon cycle model-data fusion: Progress and challenges. Science China Earth Sciences, 64 (10) 1645-1657 doi:10.1007/s11430-020-9800-3
 
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 11, 2025 11:27:30
Go to top of page