Predict-Crude 2.0 software encapsulates inferences, experimental results, and research data from a comprehensive, four-year Joint-Industry Program (JIP) sponsored by leading refining and engineering companies. The JIP resulted in the development of quantitative engineering database and decision-support model to predict crude corrosivity in naphthenic acid and sulfur dominated systems. These results took into account corrosivity caused by factors such as critical environmental parameters, Total Acid Number (TAN/NAT), sulfur (H2S) content, temperature, hydrocarbon content, flow regimes and wall shear stress.
Predict-Crude 2.0 helps users:
Store and manage crude assays and tie-in with corrosion prediction data
Pinpoint parameters contributing to corrosion and develop effective mitigation methods
Automate evaluation and analysis of complete piping systems and refinery crude / vacuum columns.