@article{baouche:insu-01661616,
TITLE = {Intelligent methods for predicting Nuclear Magnetic Resonance of porosity and permeability by conventional well-logs: case study of Saharan Field},
AUTHOR = {Baouche, Rafik and Aifa, Tahar and Baddari, Kamel},
URL = {https://insu.hal.science/insu-01661616},
JOURNAL = {Arabian Journal of Geosciences},
PUBLISHER = {Springer},
VOLUME = {10},
NUMBER = {24},
PAGES = {545},
YEAR = {2017},
MONTH = Dec, DOI = {10.1007/s12517-017-3344-y},
KEYWORDS = {porosity-permeability estimation ; intelligent reservoir characterization ; Saharan oil field ; NMR prediction},
HAL_ID = {insu-01661616},
HAL_VERSION = {v1},
}