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Two-day session to learn how to collect and validate equipment data, process data, and inspection/maintenance history data required for the Mechanical Integrity (MI)/ Risk Based Inspection (RBI) program. Participants in this training will get hands-on practice identifying and gathering required data and entering it into MI/RBI software tools. Individuals performing data collection should benefit from this training.
Key parameters and mitigating actions for variables that may dramatically affect the intended design life of your asset
A maintenance system designed in which elements work together as a quality system for maximum returns
AOC delivers the policies, procedures, work processes, knowledge and actions such as preventive maintenance, predictive maintenance, and condition monitoring tasks.
An interdependent assessment of your people, process, and technologies for a confident path forward
When evaluation of inspection results suggest that an asset is near its end of useful life, Fitness for Service evaluations can determine if the asset us suitable for continued operation.
Achieving zero corrosion-related loss of primary containment in the refining industry.
What is Risk Based Inspection?
How do we identify and quantify the damage mechanisms that affect our equipment?
How do I estimate risk using the information that I have?
How do I plan and perform inspections and tests?
How do I ensure that my MI/RBI program is up to date and communicate to stakeholders?
What are your goals for RBI? How will you measure your success? How will you sustain that success?
How important are they?
Compliance? | Best Practice? | Risk Reduction? | One Step at a Time? | Capture Personnel Knowledge? | All Of The Above?
Heat exchanger failures contribute to over $146M in losses for a large refining enterprise.
What do you do when you are on the job for six weeks and you have a toxic leak twice the release of the recent DuPont event? Not to mention the fact that it is only 1992 and OSHA 1910.119 is just getting started...
An upgrader is brought safely back into production a year ahead of expectations, avoiding an opportunity cost exceeding $300 million.
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