Server maintenance is scheduled for Saturday, December 21st between 6am-10am CST.

During that time, parts of our website will be affected until maintenance is completed. Thank you for your patience.

Search
Filters
Close

Products tagged with 'wall shear stress'

View as
Sort by
Display per page
Picture for Corrosion Challenges in Processing Crude Oils: Influence of Active Sulfur Species and Corrosion Rates of Various Alloys
Available for download

Corrosion Challenges in Processing Crude Oils: Influence of Active Sulfur Species and Corrosion Rates of Various Alloys

Product Number: 51324-21207-SG
Author: Yuhchae Yoon; Hui Li; Russell D. Kane
Publication Date: 2024
$40.00
The depletion of conventional sweet oil resources has led to increased attention towards sour and acidic oil sources, which typically consist of lower-quality, corrosive crude oils with elevated concentrations of naphthenic acids and sulfur compounds. They are often referred to as “opportunity crudes” since they come at a lower price to refiners, but if successfully processed, they can result in a higher margin to the refinery. This paper focuses on an investigation of the impact of active sulfur species present in crude oils during processing. Corrosion rates of several common alloys were evaluated under stirred/pipe flow conditions in autoclaves. The experimental conditions closely simulated relevant refinery environments, encompassing temperatures ranging from 200°C to 370°C. The study assessed the influence of temperature, wall shear stress (WSS), and active sulfur content on corrosion rates. The results were derived from a comprehensive Joint Industry Program (JIP) conducted to quantify the influence of crude oil chemistry on naphthenic acid corrosion, understand the contributions of active sulfur chemistry to protection and FeS scale formation. The program also assessed the ability to resist naphthenic acid corrosion by utilizing beneficial sulfur speciation in the context of operational factors such as temperature and wall shear stress to build a prediction model to characterize the active sulfur level as a function of sulfur compound concentration and temperature, which is further utilized to predict corrosion rates of multiple alloys.