Amangeldy Gas Processing Plant
Challenge: Frequent unplanned shutdowns across the compressor fleet, causing production losses and elevated maintenance costs.
Solution: Predictive maintenance models deployed on compressor and pump systems using existing sensor infrastructure.
Outcome: Maintenance interventions shifted from reactive to scheduled. Reduced unplanned downtime and per-incident costs across the facility.
View Case Study → Refinery Operations · KazakhstanAktau Petroleum LTD
Challenge: Manual data workflows consuming 2–4 hours per operator shift. Fragmented reporting across production, maintenance, and management layers.
Solution: End-to-end process monitoring with automated alerting and a unified operational dashboard, replacing manual shift reporting.
Outcome: Increased shipment throughput. Improved production stability and measurable OPEX reduction through workflow automation.
View Case Study → Oilfield Operations · KazakhstanARMAN Joint Venture
Challenge: Fragmented operational data across a complex oilfield environment. Limited real-time visibility into production performance and equipment status.
Solution: Unified operational visibility platform integrating field data with management reporting, with AI-driven anomaly detection on production equipment.
Outcome: Enhanced operational transparency, improved equipment reliability, and stronger decision-making in complex oilfield conditions.
View Case Study → Terminal & Storage Logistics · KazakhstanPetroChemMash
Challenge: Fragmented operational data across large-scale multi-product terminal infrastructure. Limited real-time visibility into storage, logistics, and product handling.
Solution: Unified operational visibility platform with AI-driven logistics optimization across crude oil, petroleum products, biofuels, chemicals, and gases.
Outcome: Improved terminal throughput efficiency, stronger decision-making, and enhanced supply chain predictability across all product streams.
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