Asphaltene precipitation is one of the most common problems in both oil recovery and refinery processes. In oil recovery, formation of asphaltene aggregation followed by deposition causes blocking in the reservoir. This makes the remedial process costly and sometimes uneconomical. Unfortunately, there is no predictive model for asphaltene problem treatment. The problem is very difficult mainly because of the fuzzy nature of asphaltene and the large number of parameters affecting precipitation. In this study, a novel and intelligent method is presented to screen asphaltene stability in oil by using a pattern recognition tool, an intelligent system that utilizes SARA analysis, to determine how severe a problem is.