This “getting started” guide covers the process of creating a new case for Acid Gas Cleaning, setting up component lists and fluid packages, and working in the simulation environment to build the model. It is not meant to be a standalone reference document. Knowledge of Aspen HYSYS V10 is assumed for this guide.

Learn about the underlying technology and validation results for the Acid Gas - Physical Solvents Property Package in Aspen HYSYS used for physical solvents in gas-liquid systems, specifically DEPG.

Learn about the acid gas removal process and underlying technology for the Acid Gas - Liquid Treating Property Package in Aspen HYSYS used for solvents used for treating liquid hydrocarbons. Validation results

Improve operational performance with real-time visualization to increase visibility, agility and responsive to production problems with performance management.

The batch processing industries have numerous opportunities to improve process development and batch operations. In this webinar, Dr. Michael Call, process modeling consultant for Lubrizol, discusses the successes and challenges experienced when applying process simulation to improve specialty chemical batch processes. Examples are discussed, with emphasis on the value added through process modeling, how modern process modeling tools facilitated model development and how similar successes can be achieved within your organization.

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.

Chemical manufacturing operations provide a huge amount of process data generated in real time. This data is a wealth of information and can provide insight into better operational decision-making when tied to process modeling. Our webinar is designed for both process engineers and operators seeking to improve their distillation column performance.

Camo Analyticsの買収について

Enter the era of autonomy and take the first steps to the Self-Optimizing Plant – a self-learning, self-adapting and self-sustaining operation driven by Industrial AI that will help you thrive in any market condition. Watch this video to learn how you can start realizing this vision today.

Leveraging process modeling tools is vital for accelerating the journey to market for new products, or for optimizing the margins of existing processes. Often, a single tool does not have the capabilities to model entire specialty and fine chemicals processes due to their complexities (batch or mixed batch/continuous, integrated fluid and solid sections, complex reactive systems). As a result, specialty and fine chemicals companies often rely almost exclusively on expensive experimentation and plant trials when innovating their products and processes. View this webinar to learn from AspenTech experts about best practices for end-to-end batch modeling in Aspen Plus.