KBR deploys KBR INSITE AI across Indorama ammonia and olefins plants in Nigeria

Deployment

KBR has deployed its KBR INSITE operational and engineering AI platform across Indorama Corporation’s ammonia and olefins process units in Nigeria.

Platform and integration

KBR INSITE combines physics-informed AI with historical and real-time plant data, KBR’s process expertise and plant operating knowledge to continuously monitor asset performance, surface optimization opportunities, recognize emerging process and equipment anomalies, support root-cause analysis and provide explainable insights. The platform integrates Applied Computing’s Orbital AI, producing a world model for ammonia that learns cause and effect across a whole plant rather than only patterns in data, enabling faster deployment from contract signature and data handover to a live model.

Operational impact

The solution places real-time decision-support directly in operators’ hands through a user-focused interface. KBR says the system helps evaluate operating scenarios and generate clear, traceable recommendations to increase throughput and asset availability and support more reliable, efficient operations. Indorama’s CTO reports near-real-time analysis of key operating parameters, identification of energy and throughput optimization opportunities, detection of operational constraints and systematic root-cause analysis, with physics-based models that explain the technical reasoning behind recommendations.

Commercial rollout

KBR is expanding KBR INSITE across its customer base; EBIC has signed to implement the platform and expects it to be live by year-end. KBR also noted its earlier investment in Applied Computing to accelerate development of next-generation AI solutions for industrial markets.