Toggle navigation
norsk
English
English
norsk
English
Login
Toggle navigation
View Item
Home
Universitetet i Stavanger
Publikasjoner fra CRIStin
View Item
Home
Universitetet i Stavanger
Publikasjoner fra CRIStin
View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.
Prediction of permeability of tight sandstones from mercury injection capillary pressure tests assisted by a machine-learning approach
Abbasi, Jassem
;
Zhao, Jiuyu
;
Ahmed, Sameer
;
Jiao, Liang
;
Andersen, Pål Østebø
;
Cai, Jianchao
Peer reviewed, Journal article
Published version
View/
Open
622-2293-1-PB.pdf (1.071Mb)
URI
https://hdl.handle.net/11250/3061728
Date
2022
Metadata
Show full item record
Collections
Publikasjoner fra CRIStin
[4290]
Vitenskapelige publikasjoner (TN-IER)
[108]
Original version
Abbasi, J., Zhao, J., Ahmed, S., Jiao, L., Andersen, P. Ø., & Cai, J. (2022). Prediction of permeability of tight sandstones from mercury injection capillary pressure tests assisted by a machine-learning approach. Capillarity, 5(5), 91-104.
10.46690/capi.2022.05.02
Publisher
Yandi Scientific Press
Journal
Capillarity
Search Archive
This Collection
Browse
Archive
Communities & Collections
By Issue Date
Authors
Titles
Subjects
Document Types
Journals
This Collection
By Issue Date
Authors
Titles
Subjects
Document Types
Journals
My Account
Login
Statistics
View Usage Statistics