Products tagged with 'corrosion modelling'

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Mechanistic Model as a Bias toMachine Learning Algorithm for Confident Prediction of Corrosion

Product Number: 51323-19108-SG

Author: Ishan Patel, Gheorghe Bota

Publication Date: 2023

$20.00

A constant challenge persists among corrosion engineers to estimate and predict field corrosion rates despite the huge advancements in corrosion science. This situation has compelled the corrosion engineers to opt for the machine learning (ML) algorithms for corrosion prediction. However, the “blackbox” ML algorithms are not appreciated in high stakes decisions because they use arbitrary fitting models rather than scientific principles.

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Troubleshooting Of Main Fractionator Overhead Corrosion in Condensate Splitting Unit Using Ionic Equilibria Modelling

Product Number: 51323-19325-SG

Author: Sudharsanan Soundararajan

Publication Date: 2023

$20.00

This twin train Condensate Splitting Unit (CSU) is basically an atmospheric distillation unit processing predominantly Middle Eastern condensate along with other non-system condensate. The products from this unit are Light/Heavy Naphtha, Kerosene, Light/Heavy Gas Oil and Atmospheric residue. There is no desalter in this unit and preheated feed is flashed in Pre-flash column to separate out light and medium naphtha.

Products tagged with 'corrosion modelling'

Mechanistic Model as a Bias toMachine Learning Algorithm for Confident Prediction of Corrosion

Troubleshooting Of Main Fractionator Overhead Corrosion in Condensate Splitting Unit Using Ionic Equilibria Modelling

Association for Materials Protection and Performance