Conceptual Design of Carbon Steels to Support Heavy Crude Refinement using Neural Network Modeling and Evolutionary Optimization

摘要

The oil industries in the entire World and particularly in Mexico, have been taking an important relevance. There are two major challenges in this industry. The first one is the exploration and utilization of crude oil in deep sea, the second one is the scarce of light crude, the actual production report an increment of heavy crude, generating corrosion steel in the extraction and refinement processes. This paper presents an intelligent system to design conceptual steels considering its properties, taking into account some properties of oil crude and the temperature of the refinement process. The results provide information to choice the correct steel for every refinement phase.