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IECM Organization

IECM Pre-Recorded Webinars

All IECM webinars are recorded for playback at a later date.  Also see upcoming webinars on our Events page.

Upcoming IECM Events

Webinar - Effective Digital Twins

The digital twin concept was introduced by NASA and relies on developing an integrated Multiphysics, multiscale simulation model using the best available physical models, sensor updates, asset history, etc to mirror the life of its real twin.

While it is applicable across various industries, what does that mean for the pipeline industry? Join us in the live talk to learn more on how to effectively deploy a pipeline digital twin that enables true pro-active maintenance approach for pipeline integrity.

Effective Digital Twins

This Webinar is pre-recorded from April 27, 2023

Webinar - Mechanistic Modeling

In this live talk, discover the benefits of using mechanistic modeling for pipeline integrity management. Learn how this technology helps identifying the CP effectiveness, AC/DC interference and corrosion condition of large pipeline networks while considering pipeline characteristics, CP operation and environmental conditions.


Mechanistic Modeling

This Webinar is pre-recorded from June 1,2023

Webinar - Geo-Magnetically Induced Current (GIC)

IGeomagnetic storms cause problems on Earth, from damaging the power grid to disruption of underground pipeline operations. But what exactly are these storms, and by what mechanism do they cause disruption?


Geo-Magnetically Induced Current (GIC)

This Webinar is pre-recorded from October 20, 2023

IECM Webinar - How Not to Do Machine Learning 

Over the past two decades, machine learning has experienced exponential growth as a powerful tool for automation. With advancements in hardware and the availability of various software packages and algorithms, machine learning has found its way into many industries, including corrosion management. However, the application of machine learning in the corrosion industry comes with its own unique set of challenges and risks.


How Not to Do Machine Learning 

This Webinar is pre-recorded from August 17, 2023