Hydrocarbon processing plants face challenges in optimizing complex operations due to ever-changing factors such as varying feedstock, equipment disturbances, and regulatory changes. Traditional models often fail to capture the dynamic relationships between process variables, hindering efficiency and profitability.

Imubit offers a closed-loop AI optimization solution that addresses these challenges by creating precise models for complex refinery and chemical plant operations. The Optimizing Brain solution leverages a cloud-based Industrial AI Platform that uses advanced reinforcement learning to simulate and optimize various scenarios. Imubit's Industrial Solution Applications empower engineers with accessible AI tools for operator training, real-time process monitoring, and planning tool augmentation. Deep Learning Process Control (DLPC) integrates with existing DCS or APC systems to execute closed-loop AI optimization, mimicking the expertise of experienced operators and responding to complex scenarios in real time.

Cloud-based Industrial AI Platform utilizing advanced reinforcement learning

Foundation Process Model for diverse challenges in closed loop with live plant data

Industrial Solution Applications for operator training, real-time process monitoring, and planning tool augmentation

Deep Learning Process Control (DLPC) for seamless integration with existing DCS or APC systems

Generalized first-principle economic models for key chemical processes

Steady-state baseline models for real-time estimation of potential benefits from DLPC control

Performance dashboards for tracking KPIs, economic debottlenecking, and constraint analysis

Process modeling platform leveraging historical and ongoing data

Dynamic relationships visualization through Monte Carlo simulations

Pre-optimized dynamic controller trained and continuously improving based on manipulated variables, constraints, and real-time stream pricing

Open-loop simulations for visualizing controller moves and predictions

Process control network software compliant with cybersecurity and reliability requirements

Control room application for operators to update controller constraints and engineers to update control priorities

Customizable dashboards for operators to understand controller status and projected moves

Remote monitoring via cyber-secure proprietary network protocols

The primary target audience includes oil refineries, gas processing plants, NGL facilities, and chemical plants seeking to optimize operations, improve margins, reduce emissions, and empower their workforce with AI-driven insights.