Pearson Correlation Coefficient Applied to Petroleum System Characterization: The Case Study of Potiguar and Reconcavo Basins, Brazil

This study applied the Pearson correlation coefficient and principal component analysis as tools for unsupervised qualitative petroleum system evaluation techniques. A total of 252 oil samples (32 features per sample) representative two Brazilian sedimentary basins (Recôncavo Potiguar) were used to classify them according their respective degrees maturation origin. The large initial set variables comprises data on δ13C composition, saturate, aromatic, polar compound fractions, techniques reduced biomarkers most important variables, maintaining global pattern variance. results efficient in discriminating different systems from lacustrine, marine, mixing sources, observed studied accumulations Lower Cretaceous sediments Recôncavo Potiguar basins. methodology proved be very useful vene better characterize systems. can analyze a amount samples, using simple software spending relatively less time.