ASTANA, Kazakhstan, May 22. KazMunayGas (KMG)
is scaling up the deployment of Artificial Intelligence-driven
predictive analytics across its oil refining and petrochemical
plants to support the transition to extended maintenance cycles,
Trend reports via the
company.
As part of the initial phase, the Shymkent Refinery (PKOP),
which already operates on a three-year turnaround cycle, launched a
predictive analytics project in April 2026 targeting its most
critical compressor units. The AI-powered system processes
continuous data streams from thousands of equipment sensors to
detect early-stage operational anomalies and mitigate the risk of
unscheduled shutdowns.
For the Atyrau (ANPZ) and Pavlodar (PNHZ) refineries, the
rollout of these predictive systems is a mandatory technical
requirement to extend their inter-repair periods. Following pilot
projects in 2025 - which included the implementation of an early
anomaly detection framework for delayed coking reactors at the
Atyrau plant - both refineries initiated a full-scale deployment
phase in 2026. KMG plans to connect over 100 units of
high-criticality machinery at each plant across three scheduled
integration stages.
Concurrently, the first phase of the predictive analytics
platform has been finalized at the KPI Inc. polypropylene
production plant, where ten of the facility's most vital process
units have been brought under real-time AI surveillance.
