Achieve a superior design by rapidly analyzing many process simulation cases in parallel – leveraging high performance computing, machine learning, data analysis and visualization tools.
Rapidly Simulate Alternative Process Scenarios in Parallel
Streamlined Workflow to Rapidly Analyze Multiple Operating Cases
Achieve better design outcomes by quickly evaluating alternate design configurations for thousands of operating conditions, leveraging high performance computing and AI to run more cases in the same amount of time.
Advanced Multi-File Visualization
Display results from multiple files or simulations intuitively, navigating through the results of hundreds of operating cases using smart analysis, including operating window and tabular analysis and advanced graphics to understand results quickly and easily.
Shareable Project Files
Accelerate collaboration and speed execution among project stakeholders across owner-operator and EPCs through integrated multi-scenario project files with pre-defined analysis, resulting in seamless reuse of models and multi-case analyses.
Data Set Generation for Reduced Order Hybrid Models
Create fast and reliable online digital twin models through reduced order hybrid modeling technology, leveraging the industry’s first AI Model Builder.
Aspen Hybrid Models™
Democratize the application of AI to solve the process industry’s most difficult problems:
- Address problems that cannot be solved with first principles models alone
- Build better models faster
- Sustain accurate models longer
- Improve predictive insights
Maximize safety, throughput and profits by optimizing the entire site in one environment using accurate, industry-validated simulation and time-saving workflows.
Maximize profits using a plant-wide simulation solution that combines unparalleled accuracy and engineering collaboration with time-saving workflows.
Aspen Exchanger Design & Rating™
Optimize CAPEX and OPEX by rigorously modeling heat exchangers within the larger process with rigorous HX models and seamless data flow across disciplines.