Abstract
This work aims to present a modified fuzzy inference system able to identify one particular facies of interest in the well logs recorded in uncored boreholes. Input variables are the natural gamma ray log (GR) and the parameters N and M, which are defined from the density log, the neutron porosity log and the sonic log. The database of this inference system is built from the natural gamma ray log and parameters M and N taken from depth intervals defined from core information in reference boreholes in the oilfield with evidence of occurrence of the facies of interest. The output of this inference system indicates the depth interval of occurrence of the facies of interest in uncored boreholes in the same oilfield. The proposed methodology was applied in synthetic well log data and real well log data recorded in two boreholes in the Namorado's oilfield (Campos basin, Brasil).
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