This paper presents a method for electrofacies characterization which is based upon multivariate statistics analysis applied to well log data obtained from lithological classes identified in the core samples of oil and gas wells. As a case study it is used a data set which includes well logs, macroscopic reports, and sets of core samples extracted from vertical wells, located in the oil-producing field of Namorado in the Campos Basin, Brazil. The results show a good performance of the proposed approach for electrofacies characterization. Furthermore, all the statistical tests applied in this study allow the researcher to obtain information about the quality of the sampling process and the accuracy related to the correlation between the sampling and the logging depth, speeding-up the process of the exploratory investigation by using well log data associated to the lithological classes present in the cored intervals from oil well.
Electrofacies; Multivariate Statistical Analysis; Petroleum Exploration
