The present invention refers to a method of evaluating the rheological properties of water-in-oil emulsions (W/O) in which it presents a new paradigm in the exploration and production segments generated using artificial intelligence in the analysis of rheological data of fluids produced in the Brazilian oil fields. The developed model makes it possible to predict the rheological properties of emulsions throughout the production life cycle of an oil field. The expected gains are associated with the use of correlations representative of the flow behavior of Brazilian oils, with the acceleration of the prioritization process of candidate wells for the demulsifier subsea (DSS) injection of chemical products and, consequently, with the increase in the production of oil and gas with subsequent value generation.