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 need to accurately find the damage.

Following the webinar, you will walk away with:

An approach to CML Optimization and review

Key case-study results

Lessons learned

Common misconceptions

William Minter

William Minter is a mechanical engineer with over ten years of reliability experience in the oil and gas, mining, and chemical industries. He is an expert source on the topic of mechanical integrity, including proper assessment and implementation of risk-based mechanical integrity programs. William’s diversified leadership experience makes him highly successful in leading sales and marketing teams to build complex solutions and operations teams to effectively execute them. He has served in a variety of roles, including Vice President of Services and Vice President of Account Development. His experience makes him uniquely equipped to help clients develop long-term strategic plans to improve asset and facility performance.


Ryan Myers

Ryan Myers is the PinnacleART Senior Manager, Innovation & Strategy. Ryan has more than four years of experience implementing comprehensive mechanical integrity and Risk-Based Inspection programs in the oil and gas and petrochemical industries. His prior experience in the upstream oil and gas industry 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.

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