Webinar: 4 Ways to Get More from Your RBI Program

A blended approach of Mechanical Integrity (MI) and data science with Lifetime Variability Curves (LVCs) can help you produce more quantitative capabilities and improve the Probability of Failure (POF) calculations for thinning.

Quantifying the value of inspections and improving inspection handling will help you optimize inspection planning and quantify risk, ultimately enabling a more effective inspection program.

Improving your probability of failure calculations will help you better quantify risk, more effectively manage your risk, and better allocate your limited resources to where they’re most valuable.

It’s no secret that subject matter experts (SMEs) are in high demand these days, and fewer are available to support RBI programs in ways that were once deemed appropriate. A blended approach of SMEs with new technologies and methodologies in data science will help drive better recommendations for any RBI program.