Catalytic Process AI

Catalytic Process Optimization with AI & ML

  • AI- and ML-driven optimization for refining, petrochemical, polymerization, and environmental processes
  • Predictive modeling of catalyst performance, lifetime, and selectivity
  • Dynamic process tuning for HDS, hydrocracking, ODS, reforming, syngas, polymerization, and emission control
  • Data integration from plant operations, lab analytics, and pilot-scale testing
  • Actionable insights and decision support dashboards for engineers and operators
  • Customizable solutions for EPC projects, refinery units, and petrochemical plants
  • Increased catalyst efficiency, reduced downtime, optimized throughput, and enhanced environmental compliance

Request Technical Support

Get expert support for catalyst selection, performance evaluation, and troubleshooting.

Catalytic Process Optimization with AI & ML

Iran Catalyst offers cutting-edge catalytic process optimization services powered by Artificial Intelligence (AI) and Machine Learning (ML), designed to maximize efficiency, selectivity, and lifetime of industrial catalysts across refining, petrochemical, polymerization, and environmental processes. By integrating advanced data analytics with process engineering expertise, we bridge the gap between real-time operational data and actionable insights, enabling smarter decision-making for industrial operations.

Scope and Capabilities

Our AI & ML solutions focus on key catalytic processes, including:

  • Hydrodesulfurization (HDS) and hydrocracking: predictive modeling for catalyst activity and lifetime

  • Oxidative desulfurization (ODS) and sulfur recovery: process optimization and efficiency improvement

  • Reforming, platforming, and syngas production: dynamic process control and yield maximization

  • Polymerization and petrochemical conversions: reaction kinetics modeling and process simulation

  • Environmental and emission control systems: predictive monitoring for SCR, VOC, and DeNOx catalysts

Methodology and Approach

  • Data Integration: Collecting and processing real-time plant data, laboratory analytics, and pilot-scale results

  • Predictive Modeling: AI-driven algorithms to forecast catalyst performance, deactivation trends, and reaction selectivity

  • Optimization Strategies: ML-based process tuning to maximize throughput, reduce downtime, and extend catalyst life

  • Decision Support: Interactive dashboards and actionable insights for plant engineers, operators, and management teams

Benefits for Clients

By applying AI & ML to catalytic processes, Iran Catalyst enables organizations to:

  • Increase catalyst efficiency, selectivity, and operational lifetime

  • Reduce unplanned shutdowns and operational risks

  • Optimize throughput, yield, and energy consumption

  • Enhance environmental compliance and sustainability

  • Transform operational data into predictive, actionable insights

Customization and Implementation

Our AI & ML solutions are fully customizable to align with specific unit configurations, feedstocks, operational targets, and project goals. Services can be delivered on-site, remotely, or through integrated consultancy projects, providing a seamless integration with EPC projects, refinery operations, or petrochemical plants.

With a combination of deep catalytic knowledge, advanced analytics, and real-world engineering experience, Iran Catalyst empowers industrial partners to achieve smarter, data-driven operations and unlock the full potential of their catalytic processes.

iran catalyst
iran catalyst
Our Services
Back to Home