Please use this identifier to cite or link to this item:
http://localhost:8080/xmlui/handle/123456789/2634
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Bruno Goutorbe | |
dc.contributor.author | Francis Lucazeau | |
dc.contributor.author | Alain Bonneville | |
dc.date.accessioned | 2023-03-07T08:36:53Z | - |
dc.date.available | 2023-03-07T08:36:53Z | - |
dc.date.issued | 2006 | |
dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/2634 | - |
dc.publisher | IEEE | |
dc.source | Geophysical Journal International | |
dc.title | Using Neural Networks To Predict Thermal Conductivity From Geophysical Well Logs | |
dc.type | Petroleum engineering IEEE Papers | |
dc.identifier.url | 10.1111/j.1365-246X.2006.02924.x | |
Appears in Collections: | Petroleum IEEE papers |
Files in This Item:
File | Size | Format | |
---|---|---|---|
Article7.pdf | 852.2 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.