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 ChemistryMineral Visual ExplorerAdvanced 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 QuizTime Machine
Photo SearchPhoto GalleriesSearch by ColorPhoto Colour ExplorerNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Li, Bo, Chen, Lixia, Chen, Yulong (2019) Assessment technique of karst aquifer water abundance in shale gas exploitation area based on multi-source information fusion technology—Fenggang shale gas area case. Arabian Journal of Geosciences, 12 (12) doi:10.1007/s12517-019-4518-6

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleAssessment technique of karst aquifer water abundance in shale gas exploitation area based on multi-source information fusion technology—Fenggang shale gas area case
JournalArabian Journal of Geosciences
AuthorsLi, BoAuthor
Chen, LixiaAuthor
Chen, YulongAuthor
Year2019 (June)Volume12
Issue12
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1007/s12517-019-4518-6Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID960262Long-form Identifiermindat:1:5:960262:9
GUID0
Full ReferenceLi, Bo, Chen, Lixia, Chen, Yulong (2019) Assessment technique of karst aquifer water abundance in shale gas exploitation area based on multi-source information fusion technology—Fenggang shale gas area case. Arabian Journal of Geosciences, 12 (12) doi:10.1007/s12517-019-4518-6
Plain TextLi, Bo, Chen, Lixia, Chen, Yulong (2019) Assessment technique of karst aquifer water abundance in shale gas exploitation area based on multi-source information fusion technology—Fenggang shale gas area case. Arabian Journal of Geosciences, 12 (12) doi:10.1007/s12517-019-4518-6
In(2019, June) Arabian Journal of Geosciences Vol. 12 (12) Springer Science and Business Media LLC

See Also

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

Gharaibeh, Ahmed A., Ghrair, Ayoup M., Merkel, Broder (2019) Groundwater risk assessment investigations for oil shale exploitation in El-Lajjun area of central Jordan. Arabian Journal of Geosciences, 12 (16) doi:10.1007/s12517-019-4675-7
Sun, Fengrui, Yao, Yuedong, Li, Guozhen, Li, Xiangfang (2019) A slip-flow model for multi-component shale gas transport in organic nanopores. Arabian Journal of Geosciences, 12 (5) doi:10.1007/s12517-019-4303-6
Chen, Huanqing (2019) Fracture Study and Its Applied in Oil and gas Field Development. Arabian Journal of Geosciences, 12 (17) doi:10.1007/s12517-019-4676-6
Shi, Longqing, Wang, Ying, Qiu, Mei, Wang, Min (2019) Assessment of water inrush risk based on the groundwater modeling system—a case study in the Jiaojia Gold Mine Area, China. Arabian Journal of Geosciences, 12 (24) doi:10.1007/s12517-019-4986-8
You, Lijun, Zhou, Yang, Kang, Yili, Yang, Bin, Cui, Zhongyu, Cheng, Qiuyang (2019) Fracturing fluid retention in shale gas reservoirs:mechanisms and functions. Arabian Journal of Geosciences, 12 (24) doi:10.1007/s12517-019-4955-2
Zhai, Wenbao, Li, Jun, Chen, Zhaowei, Liu, Gonghui, Zhou, Yingcao, Gao, Reyu (2019) Heterogeneity analysis of shale reservoirs from multi-stage pumping data using Hilbert-Huang transform method. Arabian Journal of Geosciences, 12 (24) doi:10.1007/s12517-019-4968-x
Xu, Kun, Chen, Shijia, Liu, Chaowei, Liu, Zhanghao, Li, Chen (2022) Geochemical characteristics of source rocks and natural gas in Fudong area, Junggar Basin: implications for the genesis of natural gas. Arabian Journal of Geosciences, 15 (6) doi:10.1007/s12517-022-09820-x
Wang, Xiaolei (2019) Numerical simulation research of coal and gas outburst near tectonic region in Ping ding shan mining area. Arabian Journal of Geosciences, 12 (18) doi:10.1007/s12517-019-4753-x
Chen, Huihong, Liu, Shiming (2019) Advanced geological prediction technology of tunnel based on image recognition. Arabian Journal of Geosciences, 12 (19) doi:10.1007/s12517-019-4832-z
Ju, Wei, Wu, Caifang, Sun, Weifeng (2018) Effects of mechanical layering on hydraulic fracturing in shale gas reservoirs based on numerical models. Arabian Journal of Geosciences, 11 (12) doi:10.1007/s12517-018-3693-1
Yang, Jian, Jia, Min, Adenutsi, Caspar Daniel (2023) An analytical model for multi-component shale gas transport through micro-scale fractures in shale gas reservoirs. Arabian Journal of Geosciences, 16 (3) doi:10.1007/s12517-023-11267-7
 
and/or  
Mindat.org® is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization. Mindat® and mindat.org® are registered trademarks of the Hudson Institute of Mineralogy.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2026, 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 and Ida Chau.
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: June 5, 2026 08:32:42
Go to top of page