FIORDA – Fertilizer Industry Operational Risks Database is here!

FIORDA – Fertilizer Industry Operational Risks Database is here!

End of February this year at the Nitrogen and Syngas conference in Gothenburg and introduced the FIORDA database created for collecting and sharing process safety and reliability information among participating companies in the fertilizer industry.

The concept of information exchange is not new in the industry and is being promoted during meetings and events. However, when we are looking for a focal point that collects technical information including process incidents and near misses and organizes it in a well-structured way, we will have difficulty finding it.

Traditional way
Nowadays various professional associations, governmental agencies and private companies develop incidents libraries where event reports (aka lesson leant) are collected for the future use. Despite those libraries being a great source of valuable information, the speeding world might find it too time and resources consuming to work with. We are looking for information and answers to our technical queries one click away: The FIORDA concept was born!

Behind FIORDA structure lie several questions that we often face during operation and in projects:
1. If we face a technical problem in a plant section or equipment, what would be the best, safest and cost-effective way to solve that problem?
2. If we witness a near-miss incident, what would the worst outcome be, should it really happen and what is the best way to prevent such incident in the future?
3. Has this problem ever happened somewhere else?
4. How did other people manage to solve these problems?

In problem-solving the time is critical. The plant might be at risk of trip or shut down causing production and therefore financial losses. The fastest way to obtain information of the problem, validate it and implement it, would save us significant amount of time and money.
With these in mind, we design FIORDA.

FIORDA has been developed as a structured database allowing us to quickly extract data from near misses, process safety incidents, maintenance issues, operational lesson learned and EPCM projects and organize them by the following criteria:
• Plant code
• Incident code
• Technology (ammonia, urea, etc.)
• Plant section
• Main Equipment
• Sub-Main Equipment
• Operation phase (during event)
• Operating parameters (during event)
• Medium
• Risk category
• Hazard type
• Failure Cause
• Failure Mode
• Hours of operation
• No of failures last 6 months
• No of failures last 12 months
• No of failures last 24 months
• Deviation type
• Event description
• Immediate response action
• Findings
• Consequence – primary
• Consequence – primary cost
• Consequence – secondary
• Consequence – secondary cost
• Comments
• Risk Ranking
• Prevention Safeguards
• Mitigation Safeguards
• Corrective Recommendation
• Lesson Learnt

This structure allows us to filter large volume of data in a few mouse clicks and reach the case that we are interested in. Read More…

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