RBI as a management tool
Technical risk linked to the maintenance budget, downtime and investment decisions.
Event results · Tashkent · 24 September 2026
Four hours of focused conversation about equipment reliability, the risk-based approach and the practical use of artificial intelligence in Uzbekistan’s chemical industry.
Key outcome
The seminar showed strong interest in risk-based reliability management. The discussion quickly went beyond the talks: participants asked practical questions about their own plants, data, implementation timelines and pilot project requirements.
Technical risk linked to the maintenance budget, downtime and investment decisions.
International implementation practice, typical mistakes and what auditors and insurers expect.
Where AI agents already help engineers, and where data quality is still the limiting factor.
“The level of the questions and the depth of the discussion confirmed that Uzbekistan’s plants already have a strong engineering base, and interest in the risk-based approach is practical.”
Photo gallery
Highlights
The cost of unplanned downtime, maintenance budget structure and the investment case.
Requirements, implementation experience and typical mistakes of first projects in Middle East and Asian petrochemicals.
Ammonia, nitric acid, urea, chloride and sulphate brines, corrosion under insulation.
AI agents, automated processing of NDT archives and an honest look at where AI applies and where it does not.
What is needed from the plant, which data is required and which metrics measure the result.
Data quality, staffing, regulatory requirements, timelines and the real barriers to implementation.
Materials
The seminar presentations are available for download as PDF (in Russian).
Vladislav Vladimirov
DownloadPDF · 0.6 MBDenis Vorotnikov
DownloadPDF · 0.9 MBAlik Groysman, DSc
DownloadPDF · 10 MBNatalia Luzina, PhD
DownloadPDF · 1.3 MBVladislav Vladimirov
DownloadPDF · 0.5 MBNext step
We are ready to discuss applying RBI, corrosion management and AI tools to a specific unit at your plant: source data, pilot scope, timelines and measurable success criteria.