On-Demand Webinar

Making the most out of Aspen Plus in Excel

In this webinar, we will show you how to improve productivity by deploying simulation models inside your organization using Aspen Simulation Workbook (ASW). We will demonstrate building a model in Excel with a C-2 splitter so you can see how you can use it in your organization.

On-Demand Webinar

Simplify Batch Process Improvement Using Aspen Plus®

When developing chemical batch processes, we often find ourselves running costly and time-consuming experiments. But what if we could predict process outcomes first, and only experiment when needed? Learn how industry leaders are simplifying batch process development to reduce experimentation, reduce batch cycle times and develop new processes faster. Discover solutions for reliable execution and easy accessibility in chemical R&D!

On-Demand Webinar

See How Inprocess Optimizes Hydrogen Networks in Refineries—using Aspen HYSYS®

A well-managed hydrogen network can take you one step closer to achieving your operating expense goals. During this free webinar, Inprocess—a technology consulting group serving companies in upstream, downstream, petrochemicals, and gas processing—will share their Hydrogen Network Management solutions and successes using Aspen HYSYS.

On-Demand Webinar

See How Aspen Watch Performance Monitor Keeps You Up to Speed

Aspen Watch Performance Monitor provides real-time monitoring and diagnostic information to help engineers and operators focus on the problems that erode margins. During this on-demand webinar, Joep Bazelmans of SABIC-Europe will share his methods and suggestions for implementing custom KPIs, helping you keep an eye on performance.

On-Demand Webinar

Revolutionize APC Model Building and Make More Accurate Predictions with Embedded AI

As companies look to improve efficiency amid changing conditions and constrained resources, new advancements in APC dramatically streamline operations. The newly released aspenONE® V12 features embedded AI and parallel computing to enable even less-experienced users to generate faster seed models and more accurate inferentials.

On-Demand Webinar

Removing the Barriers to Better Process Safety Designs

Safety and regulatory compliance are time-consuming elements of conceptual and basic engineering. With the Chemical Safety Board scrutinizing process safety today, it is more critical than ever to incorporate safety analysis within your process modeling environment. Doing so allows organizations to confidently achieve compliant pressure relief and flare network designs at the lowest cost, and remove bottlenecks during the FEED and pre-FEED stages of capital projects.

On-Demand Webinar

Reducing the Green Premium - Technology Enablers to Accelerate Hydrogen and Carbon Capture Development

Hydrogen and carbon capture have become focal points as energy and chemical companies look to reduce emissions and achieve net-zero carbon targets. But what’s the best approach?

On-Demand Webinar

Making Difficult CAPEX and OPEX Decisions in Uncertain Times

How are you using technology to make CAPEX and OPEX tradeoff decisions in the current volatile market? Many industry leaders are leveraging digitalization in their scenario planning to respond to fast changing conditions while minimizing the impact on business.

On-Demand Webinar

Multi-Unit Refinery Simulation Models for Process Optimization and Troubleshooting (Technical)

Learn how to simplify and improve your petroleum refining simulations using multi-unit engineering models. With the availability of a complete suite of refinery reactor models, accurately model all of the refinery reactors in the easy-to-use Aspen HYSYS® Petroleum Refining software.

On-Demand Webinar

Model Distillation Unit Operations with a Rate-based Approach

Frustrated designing your column or understanding how process changes will affect your distillation unit operations? Many non-ideal distillation systems cannot be modeled accurately with equilibrium-based modeling. Rate-based modeling provides a more rigorous modeling approach for complex systems. Once tuned, rate-based models can yield better predictions at extrapolated operation conditions.

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