| dc.contributor.author | Paglia, Jacopo | |
| dc.date.accessioned | 2020-05-12T14:06:56Z | |
| dc.date.available | 2020-05-12T14:06:56Z | |
| dc.date.issued | 2020 | |
| dc.identifier.isbn | 978-82-326-4693-7 | |
| dc.identifier.issn | 1503-8181 | |
| dc.identifier.uri | https://hdl.handle.net/11250/2654133 | |
| dc.language.iso | eng | en_US |
| dc.publisher | NTNU | en_US |
| dc.relation.ispartofseries | Doctoral theses at NTNU;2020:172 | |
| dc.relation.haspart | Paper 1:
Paglia, Jacopo; Eidsvik, Jo; Grøver, Arnt; Lothe, Ane Elisabet.
Statistical modeling for real-time pore pressure prediction from predrill analysis and well logs. Geophysics 2018 ;Volum 84.(2) s. ID1-ID12
https://doi.org/10.1190/geo2018-0168.1 | |
| dc.relation.haspart | Paper 2:
Paglia, Jacopo; Eidsvik, Jo; Cerasi,Pierre.
Uncertainties in mud-weight window for safe drilling
operations | |
| dc.relation.haspart | Paper 3:
Paglia, Jacopo; Eidsvik, Jo; Karvanen, Juha.
Efficient spatial designs using Hausdorff distance
and Bayesian optimization | |
| dc.title | Statistical modeling for safer drilling operations | en_US |
| dc.type | Doctoral thesis | en_US |
| dc.subject.nsi | VDP::Mathematics and natural science: 400::Mathematics: 410 | en_US |
| dc.description.localcode | digital fulltext is not avialable | en_US |
