At Inprocess, we have successfully completed a process simulation project designed to support the startup and operational readiness of AirPlant™ One, a pioneering facility producing sustainable aviation fuel through power-to-liquid technology.
SABIC implemented, in collaboration with Inprocess, an Aspen HYSYS®-based Operator Training Simulator (OTS) that replicates the plant control environment, allowing operators to safely train for disturbances, upsets, start-ups, and other critical operating scenarios.
How do you justify investing in operator training for rare but highimpact events in a highly complex urea plant? The goal was to develop a highfidelity OTS capable of accurately reproducing real process behavior.
Optimizing an energy-intensive distillation section (Depropanizer, Deethanizer and Propane–Propylene Splitter) critical for product quality and profitability, while improving reliability, measurement accuracy, and early detection of operational issues.
Hydrogen plays a critical role in refinery and petrochemical operations, directly impacting process performance, operating costs and plant flexibility. However, managing hydrogen networks efficiently across complex industrial facilities remains a significant operational challenge.
Discover how Inprocess helped MOEVE Chemicals strengthen commissioning and start-up readiness for its new Isopropyl Alcohol (IPA) plant through an Operator Training Simulator (OTS) developed with Aspen HYSYS® Dynamics.
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.
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.
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.
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.
Inprocess Technology and Consulting Group, S.L.U.
Pedro i Pons, 9-11, 13th floor
08034 Barcelona, Spain
Tel: +34 933 308 205
© 2026 Inprocess Technology and Consulting Group, S.L.U. | All rights reserved
© 2026 Inprocess Technology and
Consulting Group, S.L.
All rights reserved