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.
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.
The Inprocess Immersive Training Simulator (ITS) utilizes Virtual Reality (VR) to enhance operator training in the hydrocarbon and chemical industries, integrating with Operator Training Simulators (OTS) to provide a realistic, immersive learning experience.
The Multi-Purpose Dynamic Simulator (MPDS) introduces an innovative approach that extends the application of dynamic process modelling across the design, commissioning, and operational phases, maximizing its value throughout the plant lifecycle.
This white paper from Inprocess introduces the Multi-Purpose Dynamic Simulator (MPDS) approach—demonstrating how a single dynamic simulation model can be reused throughout the entire lifecycle of a process facility. From early engineering and virtual commissioning to operator training and real-time operational support, MPDS helps reduce project risks, improve safety, and maximize the return on simulation investment.
FPSO constructors and operators are increasingly adopting digitalization to support data-driven decision-making, while also focusing on sustainability through energy consumption management and GHG emissions reduction.
This presentation reveal an innovative approach utilized by 3R Petroleum in managing their gas pipelines and their associated inventories.
Today’s society is growing and learning in a new era, the age of computing. At the same time, year after year, new generations of central processing units (CPUs) and graphics processing units (GPUs) are coming onto the market, all linked to different machine learning (ML) algorithms that are gradually being integrated into society. Most of the algorithms in use today were created decades ago.
Inprocess oral contribution to MECCE held in May 2023, Eduardo Iraola’s presentation explores the future of enhanced control with digital twins for inventory and emissions monitoring in the process industry.
Inprocess Technology and Consulting Group, S.L.U.
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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