Vote for your favorite mineral in #MinCup25! - Dioptase vs. Wavellite
It's a green, green world for kiwi #wavellite vs desert emerald #dioptase.
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

Zabihi Naeini, Ehsan, Gunning, James, White, Roy (2017) Well tie for broadband seismic data. Geophysical Prospecting, 65 (2) 503-522 doi:10.1111/1365-2478.12433

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleWell tie for broadband seismic data
JournalGeophysical Prospecting
AuthorsZabihi Naeini, EhsanAuthor
Gunning, JamesAuthor
White, RoyAuthor
Year2017 (March)Volume65
Issue2
PublisherWiley
DOIdoi:10.1111/1365-2478.12433Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID991791Long-form Identifiermindat:1:5:991791:4
GUID0
Full ReferenceZabihi Naeini, Ehsan, Gunning, James, White, Roy (2017) Well tie for broadband seismic data. Geophysical Prospecting, 65 (2) 503-522 doi:10.1111/1365-2478.12433
Plain TextZabihi Naeini, Ehsan, Gunning, James, White, Roy (2017) Well tie for broadband seismic data. Geophysical Prospecting, 65 (2) 503-522 doi:10.1111/1365-2478.12433
In(2017, March) Geophysical Prospecting Vol. 65 (2) Wiley

See Also

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

White, Roy, Zabihi Naeini, Ehsan (2017) Optimised spectral merge of the background model in seismic inversion. Journal of Applied Geophysics, 136. 246-261 doi:10.1016/j.jappgeo.2016.10.031
Singh, Sagar, Tsvankin, Ilya, Naeini, Ehsan Zabihi (2021) Facies‐based full‐waveform inversion for anisotropic media: a North Sea case study. Geophysical Prospecting, 69 (8) 1650-1663 doi:10.1111/1365-2478.13139
White, James C., Beamish, David (2015) Levelling aeromagnetic survey data without the need for tie-lines. Geophysical Prospecting, 63 (2) 451-460 doi:10.1111/1365-2478.12198
Zabihi Naeini, Ehsan, Exley, Russell (2017) Quantitative interpretation using facies-based seismic inversion. Interpretation, 5. doi:10.1190/int-2016-0178.1
Zabihi Naeini, Ehsan, Sams, Mark (2017) Accuracy of wavelets, seismic inversion, and thin-bed resolution. Interpretation, 5. doi:10.1190/int-2017-0023.1
Di, Haibin, Abubakar, Aria (2023) Automating seismic‐well tie via self‐supervised learning. Geophysical Prospecting, 71 (4) 698-712 doi:10.1111/1365-2478.13333
Gei, Davide, Brancolini, Giuliano, De Santis, Laura, Geletti, Riccardo (2024) Well‐log integration and seismic‐to‐well tie off George V Land (Antarctica) Geophysical Prospecting, 72 (2) 685-704 doi:10.1111/1365-2478.13425
Grant, Timothy J. (2017) Inferences of ocean currents from seismic streamer position data. Geophysical Prospecting, 65 (5) 1155-1185 doi:10.1111/1365-2478.12479
White, Roy, Simm, Rob, Xu, Shiyu (1998) Well tie, fluid substitution and AVO modelling: a North Sea example. Geophysical Prospecting, 46 (3) 323-346 doi:10.1046/j.1365-2478.1998.00094.x
Liu, Yang, Zhang, Peng, Liu, Cai (2017) Seismic data interpolation using generalised velocity-dependent seislet transform. Geophysical Prospecting, 65. 82-93 doi:10.1111/1365-2478.12578
Mosser, Lukas, Zabihi Naeini, Ehsan (2022) A comprehensive study of calibration and uncertainty quantification for Bayesian convolutional neural networks — An application to seismic data. GEOPHYSICS, 87 (4) doi:10.1190/geo2021-0318.1
 
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 Š 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 10, 2025 11:33:41
Go to top of page