Mitigating corrosion with a Digital Twin
Published in the Q4 2020 issue of PTQ Magazine, this article discusses how data-driven engineering helps engineers to identify ways to improve predictions of corrosion.
Download full whitepaperWhitepaper summary
A KBC and OLI Systems joint article on how data-driven engineering helps engineers to identify ways to improve corrosion predictions was published in the Q4 2020 issue of PTQ Magazine.
It discusses how corrosion control measures can help to improve the performance of operating units and possibly reduce the need for heat exchanger bundle changes. There are two case studies that support the use of a digital twin in helping to identify corrosion issues. The energy and chemical industries can reduce financial losses due to corrosion by using the proper tools to monitor and improve corrosion prediction.
Get in touch with us
Do you have a project which you are interest in working with us on?
You may also be interested in

Mitigating Corrosion with a Digital Twin
Sep 28, 2020
This webinar will explain how a digital twin provides real-time prediction of corrosion, scaling, and fouling to enhance asset safety, reliability, and profitability.
This webinar will explain how a digital twin provides real-time prediction of corrosion, scaling, and fouling to enhance asset safety, reliability, and profitability.
Read full articleGet the latest updates from KBC
Sign up to our newsletter to receive our latest innovations, viewpoints and be informed about any upcoming events.