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The high accuracy on inferrring of rocks properties, such as permeability($k$), is a very useful study in the analysis of wells. This has led todevelopment and use of empirical equations like Tixier, Timur, among others. Inorder to improve the inference of permeability we used a hybrid Neuro-FuzzySystem (NFS). The NFS allowed us to infer permeability of well, from data ofporosity ($\phi$) and water saturation ($Sw$). The work was performed with datafrom wells VCL-1021 (P21) and VCL-950 (P50), Block III, Maracaibo Lake,Venezuela. We evaluated the NFS equations ($k_{P50,i}(\phi_i,Sw_i)$) withneighboring well data ($P21$), in order to verify the validity of the equationsin the area. We have used ANFIS in MatLab.

Training Hybrid Neuro-Fuzzy System to Infer Permeability in Wells on Maracaibo Lake, Venezuela