Vote for your favorite mineral in #MinCup25! - Taenite vs. Nontronite
It's a mineral found mostly in the farthest reaches of space vs one so common an exhaustive list of localities is nigh impossible as alloy #taenite faces off against clay #nontronite.
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

Singh, Amandeep, Palombi, Dan, Nakevska, Nevenka, Jensen, Gavin, Rostron, Ben (2017) An efficient approach for characterizing basin-scale hydrodynamics. Marine and Petroleum Geology, 84. 332-340 doi:10.1016/j.marpetgeo.2017.02.015

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleAn efficient approach for characterizing basin-scale hydrodynamics
JournalMarine and Petroleum Geology
AuthorsSingh, AmandeepAuthor
Palombi, DanAuthor
Nakevska, NevenkaAuthor
Jensen, GavinAuthor
Rostron, BenAuthor
Year2017 (June)Volume84
PublisherElsevier BV
DOIdoi:10.1016/j.marpetgeo.2017.02.015Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID606419Long-form Identifiermindat:1:5:606419:2
GUID0
Full ReferenceSingh, Amandeep, Palombi, Dan, Nakevska, Nevenka, Jensen, Gavin, Rostron, Ben (2017) An efficient approach for characterizing basin-scale hydrodynamics. Marine and Petroleum Geology, 84. 332-340 doi:10.1016/j.marpetgeo.2017.02.015
Plain TextSingh, Amandeep, Palombi, Dan, Nakevska, Nevenka, Jensen, Gavin, Rostron, Ben (2017) An efficient approach for characterizing basin-scale hydrodynamics. Marine and Petroleum Geology, 84. 332-340 doi:10.1016/j.marpetgeo.2017.02.015
In(2017) Marine and Petroleum Geology Vol. 84. Elsevier BV

See Also

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

Guo, Zongguang; Liu, Keyu; Yu, Lingjie; Chen, Jie; Wu, Yuqi; Chen, Lei; Liang, Chao (2025) Characterizing multi-scale heterogeneities in shales: An innovative workflow and application to Paleogene lacustrine shales in the Subei Basin, eastern China. Marine and Petroleum Geology, 178. doi:10.1016/j.marpetgeo.2025.107398
Higgs, K.E., Crouch, E.M., Raine, J.I. (2017) An interdisciplinary approach to reservoir characterisation; an example from the early to middle Eocene Kaimiro Formation, Taranaki Basin, New Zealand. Marine and Petroleum Geology, 86. 111-139 doi:10.1016/j.marpetgeo.2017.05.018
Zheng, He, Yang, Feng, Guo, Qiulei, Liu, Kangfei (2025) Upscaling characterizing pore connectivity, morphology and orientation of shale from nano-scale to micro-scale. Marine and Petroleum Geology, 172. doi:10.1016/j.marpetgeo.2024.107213
(2004) An Atlas of Carboniferous Basin Evolution in Northern England. Marine and Petroleum Geology, 21 (3) 421 doi:10.1016/j.marpetgeo.2004.02.001
Pei, Yangwen, Paton, Douglas A., Knipe, Rob J., Wu, Kongyou (2017) Examining fault architecture and strain distribution using geospatial and geomechanical modelling: An example from the Qaidam basin, NE Tibet. Marine and Petroleum Geology, 84. 1-17 doi:10.1016/j.marpetgeo.2017.03.023
Burwicz, Ewa, Haeckel, Matthias (2020) Basin-scale estimates on petroleum components generation in the Western Black Sea basin based on 3-D numerical modelling. Marine and Petroleum Geology, 113. 104122 doi:10.1016/j.marpetgeo.2019.104122
Chen, Shanshan, Sun, Qiliang, Lu, Kai, Hovland, Martin, Li, Rihui, Luo, Peng (2017) Anomalous depressions in the northern Yellow Sea Basin: Evidences for their evolution processes. Marine and Petroleum Geology, 84. 179-194 doi:10.1016/j.marpetgeo.2017.03.030
Catuneanu, Octavian, Dave, Alok (2017) Cenozoic sequence stratigraphy of the Kachchh Basin, India. Marine and Petroleum Geology, 86. 1106-1132 doi:10.1016/j.marpetgeo.2017.07.020
Kumar, Priyadarshi Chinmoy, Omosanya, Kamaldeen Olakunle, Sain, Kalachand (2019) Sill Cube: An automated approach for the interpretation of magmatic sill complexes on seismic reflection data. Marine and Petroleum Geology, 100. 60-84 doi:10.1016/j.marpetgeo.2018.10.054
Fu, Xiugen, Wang, Jian, Tan, Fuwen, Chen, Ming, Li, Zhongxiong, Zeng, Yuhong, Feng, Xinglei (2016) New insights about petroleum geology and exploration of Qiangtang Basin, northern Tibet, China: A model for low-degree exploration. Marine and Petroleum Geology, 77. 323-340 doi:10.1016/j.marpetgeo.2016.06.015
Ramesh, S., Vedachalam, N., Ramesh, R., Thulasi Prasad, N., Ramadass, G.A., Atmanand, M.A. (2014) An approach for methane hydrates reservoir dissociation in a marine setting, Krishna Godhavari Basin, east coast India. Marine and Petroleum Geology, 58. 540-550 doi:10.1016/j.marpetgeo.2014.08.012
 
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 Β© 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 15, 2025 00:05:43
Go to top of page