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Introducing An Innovative Simultaneous Naphthenic Acid, Sulfidation And Mass Transport Corrosion Model

Product Number: 51321-16755-SG
Author: Abbey Wing; Winston Robbins, PhD; Gerrit Buchheim, P.E.; Frank Sapienza
Publication Date: 2021
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$20.00
$20.00

Naphthenic acid (NAP) and reactive sulfur (RS) species present in crude oils pose serious corrosion problems in oil refineries, especially with the increase in processing of low-quality, opportunity crudes. This new simultaneous NAP, RS and mass transport corrosion model treats reactions in terms of formation/depletion of a solid barrier layer, and mass transport by turbulent acceleration due to velocity/viscosity effects on fluid boundary layers. This model includes additional reactions previously ignored by other crude models. The model utilizes generally available refinery operating parameters and fluid analyses. The model yields dynamic results by calculating corrosion rates as the surface barrier layer and fluid boundary layers are changing in thickness over time. The model was developed based on open literature, and has been benchmarked against laboratory and refinery case studies. The new model provides more precise corrosion prediction to enable imimproved decisions regarding alloy upgrading, inspection, failure assessments, and crude economics.

Naphthenic acid (NAP) and reactive sulfur (RS) species present in crude oils pose serious corrosion problems in oil refineries, especially with the increase in processing of low-quality, opportunity crudes. This new simultaneous NAP, RS and mass transport corrosion model treats reactions in terms of formation/depletion of a solid barrier layer, and mass transport by turbulent acceleration due to velocity/viscosity effects on fluid boundary layers. This model includes additional reactions previously ignored by other crude models. The model utilizes generally available refinery operating parameters and fluid analyses. The model yields dynamic results by calculating corrosion rates as the surface barrier layer and fluid boundary layers are changing in thickness over time. The model was developed based on open literature, and has been benchmarked against laboratory and refinery case studies. The new model provides more precise corrosion prediction to enable imimproved decisions regarding alloy upgrading, inspection, failure assessments, and crude economics.

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