Turnaround Support

Problem

Turnarounds often involve critical integrity decisions being made under significant schedule pressure and with incomplete information. Unexpected damage findings, uncertain inspection results, and evolving repair scope can rapidly affect outage duration, cost, and long-term equipment reliability.

Some owner-operators struggle to efficiently access the specialized engineering support required to evaluate damage mechanisms, determine fitness-for-service, and develop practical repair strategies quickly enough to support field execution and critical path decision-making.

Solution

CANATUS supported turnaround activities through a combination of pre-outage planning, onsite engineering support, and remote rapid-response technical evaluation.

Prior to the outage, high-risk equipment and known bad actors were reviewed to establish practical go/no-go criteria, screening limits, and contingency strategies before inspection activities began.

During execution, CANATUS provided integrated support for:

• damage mechanism identification
• inspection interpretation
• fitness-for-service evaluations
• repair development
• prioritization of findings based on actual risk and remaining margin

A hybrid support model combining onsite personnel with remote specialists allowed technical resources to scale rapidly during peak outage periods while maintaining access to specialized expertise without requiring full-time onsite presence.

Value

• Reduce decision making time between finding integrity issues to having a path forward
• Save engineering, inspection, and maintenance time, cost, and resources by employing FFS technology proactively to establish go/no-go criteria for critical equipment items in advance of the outage.
• Save time and cost by using FFS technology reactively to justify remaining life of equipment without repair or using FFS to minimize repairs when damage is found.
• Reduce the chance for turnaround extensions and the associated increase in lost production time.
• Prevent unplanned failures during the next operational run.