Ensuring Refinery Lifecycle Safety with 

This presentation shows how  dynamic modelling has played a crucial role in supporting the safe expansion of a North American oil and gas facility. These models, continuously updated and refined through four major plant upgrades, helped simulate emergency scenarios, assess flare system performance, and integrate both unit and network responses.

Urea Plant OTS: First-Principles Dynamic Simulation for Advanced Operator Competency

An Operator Training System (OTS) was developed for existing ammonia and urea plants to enhance operator skills and improve safety, availability, and performance. Learn how the implemented OTS effectively replicates plant dynamics, improving operational proficiency, safety awareness, and process understanding, and serves as a valuable tool for engineering and control strategy analysis.

Enhancing PDH  Plant Performance with Real-Time  Dynamic  Simulation Models

High-fidelity Aspen HYSYS Dynamics models of the three major distillation columns of a Propane Dehydrogenation (PHD) plant were transformed into an online digital twin, connected to plant data every 2-3 seconds and running for more than a year. Discover how the twin provides virtual sensors, analyzer backup, flowmeter corrections, instrument anomaly detection, flooding analysis and product quality verification. It has also been extended to rotating equipment, exchangers, and emissions KPIs, delivering measurable reliability, energy, and quality benefits.

Online Tool for Preheating Train Monitoring

In this presentation, learn how CHS and Inprocess have developed and implemented a digital tool to monitor the performance of heat exchangers and support maintenance planning. Using Aspen EDR in Aspen HYSYS, fouling trends were analyzed to identify units exchangers with the greatest impact on process efficiency and cost. Integrated online with real-time plant data, the monitoring tool flags when equipment performance drops below defined thresholds, enabling dynamic updates to cleaning strategies and supporting data-driven decisions that can increase throughput and reduce downtime, energy consumption, and emissions.

From CO₂ to E-Jet® SAF: Dynamic Simulation, Control Validation and Operator Training

Discover how Twelve, a company producing low-carbon jet fuel from CO₂ and renewable electricity, partnered with Inprocess to develop a comprehensive dynamic simulation and Operator Training Simulator (OTS) based on Aspen HYSYS® Dynamics, supporting the commissioning and operational readiness of this pioneering facility.