Intelligent methods for predicting nuclear magnetic resonance of porosity and permeability by conventional well-logs : a case study of Saharan field

Baouche, RafikAïfa, Tahar2018-01-102018-01-1020171866-7511https://dspace.univ-boumerdes.dz/handle/123456789/4305https://doi.org/10.1007/s12517-017-3344-yenPorosity/permeability estimationIntelligent reservoir characterizationSaharan oil fieldNMR predictionIntelligent methods for predicting nuclear magnetic resonance of porosity and permeability by conventional well-logs : a case study of Saharan fieldArticle