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Intelligent methods for predicting Nuclear Magnetic Resonance of porosity and permeability by conventional well-logs: case study of Saharan Field

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https://hal-insu.archives-ouvertes.fr/insu-01661616
Contributor : Isabelle Dubigeon <>
Submitted on : Tuesday, December 12, 2017 - 8:37:48 AM
Last modification on : Friday, April 5, 2019 - 8:17:57 PM

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Rafik Baouche, Tahar Aifa, Kamel Baddari. Intelligent methods for predicting Nuclear Magnetic Resonance of porosity and permeability by conventional well-logs: case study of Saharan Field. Arabian Journal of Geosciences, Springer, 2017, 10 (24), pp.545. ⟨10.1007/s12517-017-3344-y⟩. ⟨insu-01661616⟩

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