Predict-SA 2.0 encapsulates inferences, experimental results, and research data from a comprehensive Joint-Industry research program (JIP) conducted by Honeywell and sponsored by industry leading refining and engineering companies. The program was aimed at developing a quantitative engineering database and decision-support model to predict corrosion of carbon steel and corrosion resistant alloys (CRAs) in sulfuric acid alkylation units. It specifically studied the relationship between corrosion and critical environmental parameters, such as temperature, sulfuric acid, acid soluble oil (ASO) and hydrocarbon concentrations.
In addition, it integrated this data characterization of flow regimes and wall shear stress for several commonly used alloys in the following three zones:
Zone A—Concentrated sulfuric acid piping service (fresh, recirculating, and spent sulfuric acid with concentrations from 99.5 wt% down to 87.4 wt%)
Zone B—Concentrated sulfuric acid reactor/contactor section (emulsion service—approximately 50 vol% hydrocarbon, 50 vol% sulfuric acid)
Zone C—Entrained acid service to the caustic/water wash system (low-level acid carryover in raw alkylate).