The analysis of hydrocarbon profiles in complex fuel samples has been a daunting task for fuel scientists for decades. Although many studies of specific compound classes on a limited number of fuel samples have been published, a large-scale survey of many samples has been lacking. The complexity and extensive manpower requirements have inhibited comprehensive, wide-scoped studies. Presented here is a novel, automated chemical component classification scheme which is based on a set of selection rules that operate on either the molecular formula or chemical name from a previously generated "hit list." The method is validated against synthetic ally generated data and a PIANO blend standard. Average jet and diesel fuel profiles are presented.