Intelligent methods for predicting nuclear magnetic resonance of porosity and permeability by conventional well-logs: a case study of Saharan field
Crossref DOI link: https://doi.org/10.1007/s12517-017-3344-y
Published Online: 2017-12-21
Published Print: 2017-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Baouche, Rafik
Aïfa, Tahar
Baddari, Kamel
Text and Data Mining valid from 2017-12-01
Article History
Received: 28 July 2017
Accepted: 11 December 2017
First Online: 21 December 2017