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51313-02535-Prediction and Assessment of Corrosion in Sulfuric Acid Alkylation Units

Picture for Prediction and Assessment of Corrosion in Sulfuric Acid Alkylation Units
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Product Number: 51313-02535-SG
ISBN: 02535 2013 CP
Author: Peter Ellis
Publication Date: 2013
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Sulfuric acid alkylation (SAA) the conversion of olefins and butane to high-octane alkylate using highly concentrated sulfuric acid as a catalyst is a very profitable refinery operation. While there are powerful economic incentives to maximize SAA unit throughput until recently there were only minimal data available for quantitative assessment of sulfuric acid corrosion rate under refining alkylation plant conditions. Thus a joint industry program (JIP) entitled “Prediction of Corrosion in Sulfuric Acid Alkylation Units” was launched in January 2006 and completed in January 2010 to develop an empirical predictive data-based computer model (Predict®SA) for quantification/prediction of corrosion rates of carbon steels and selected stainless steels and nickel-base alloys under SAA conditions.

This model is based on the results of an extensive experimental corrosion program that generated hundreds of corrosion rate data points in sulfuric acid alkylation as a function of temperature wall shear stress and variation in sulfuric acid and acid soluble oil (ASO) concentrations. The experimental setup developed for generating corrosion rate data is described alongside important data / parametric insights from the JIP and the significant technical challenges encountered during the experimental simulation phase.
 

Sulfuric acid alkylation (SAA) the conversion of olefins and butane to high-octane alkylate using highly concentrated sulfuric acid as a catalyst is a very profitable refinery operation. While there are powerful economic incentives to maximize SAA unit throughput until recently there were only minimal data available for quantitative assessment of sulfuric acid corrosion rate under refining alkylation plant conditions. Thus a joint industry program (JIP) entitled “Prediction of Corrosion in Sulfuric Acid Alkylation Units” was launched in January 2006 and completed in January 2010 to develop an empirical predictive data-based computer model (Predict®SA) for quantification/prediction of corrosion rates of carbon steels and selected stainless steels and nickel-base alloys under SAA conditions.

This model is based on the results of an extensive experimental corrosion program that generated hundreds of corrosion rate data points in sulfuric acid alkylation as a function of temperature wall shear stress and variation in sulfuric acid and acid soluble oil (ASO) concentrations. The experimental setup developed for generating corrosion rate data is described alongside important data / parametric insights from the JIP and the significant technical challenges encountered during the experimental simulation phase.
 

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