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Optimizing CMLs – How to Focus Your Time, Budget and Resources on Finding Degradation and Reducing Risk

April 13, 2018 @ 11:30 am - 12:30 pm

Mechanical integrity (MI) and risk-based inspection (RBI) investments are primarily focused on answering this single question:

“How should I maximize my time, my budget and my resources to prevent failure?”

Condition Monitoring Location (CML) Optimization allows you to do exactly that.

It combines inspection history, inspector knowledge, corrosion expertise, and a statistical analysis to provide you with the information needed to confidently identify where degradation is likely to manifest itself. This includes the optimal CML count, CML locations, and inspection techniques you will need to accurately find the damage.

Join PinnacleART’s Vice President of Implementation Services, William Minter and Operational Excellence Manager, Ryan Myers as they discuss our approach to CML Optimization and review key case-study results, lessons learned, and common misconceptions related to CML Optimization.

Reserve your seat now!



William Minter serves as Vice President of Implementation Services at PinnacleART and is responsible for overall client satisfaction and ensuring effective execution of all asset integrity implementation projects.

He is an expert source on the topic of mechanical integrity, including proper assessment and implementation of risk-based mechanical integrity programs. In his current role, he ensures all implementation projects maintain quality and centralized teams cross-functionally support the success of these projects. William graduated from Texas A&M University with a Bachelor of Science in Mechanical Engineering.


Ryan Myers is the Operational Excellence Manager at PinnacleART and manages major strategic business initiatives with an emphasis on operational improvement and product development. Ryan has experience implementing comprehensive mechanical integrity and Risk-Based Inspection programs in the oil and gas and petrochemical industries.

His prior experience includes statistical optimization and decision analytics to maximize business performance. Ryan has also led R&D projects for multi-variate statistical reliability models, corrosion modeling software applications and CML optimization. Ryan obtained his Bachelor of Science from the University of Texas in Mechanical Engineering with a minor in Business Foundations.



April 13, 2018
11:30 am - 12:30 pm
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