Integrate clean energy sources into existing processes and optimize power generation and consumption.

Jumpstart your sustainability goals by adapting our sample Aspen PIMS-AO and Aspen Unified PIMS sustainability models to the applications you're building.

Explore how artificial intelligence is transforming upstream operations—automating workflows, integrating multi-vendor systems and empowering the next generation of subsurface professionals.

Attend OPTIMIZE 26 (May 11-14) to hear case studies and best practices from industry leaders at the event such as Albemarle, Evonik, Hindalco, MOL Group, OCP Ecuador, Peru LNG, SABIC and Takeda.

Optimize production from upstream assets from the reservoir to separation and processing plants to maximize profitability and ensure ESG compliance.

Accelerate commercialization at large scale across all stages of CCUS: capture, transportation, utilization and storage. Increase carbon project viability and reduce costs for long-term carbon storage.

This video demonstrates how to define a bio-feed or co-feed stream for use with any molecule-based reactor model in Aspen HYSYS. Molecule-Based (MB) Modeling is a cutting-edge technology in Aspen HYSYS that enables precise characterization and processing of both conventional and unconventional refining feedstocks, including bio-feeds and co-feeds.

Safety is a top priority for every process industry operator worldwide. Yet, many engineers still face challenges developing effective safety system designs. Working with multiple disconnected tools often makes it difficult to analyze all scenarios and address design risks, especially when manual data entry introduces errors.

Process engineers are under pressure to optimize production while managing variable feedstock and shifting process conditions. Aspen Hybrid Models™ simplifies the use of machine learning in process simulation, delivering faster, more accurate models that provide timely insights to guide operations decisions.

Physical property models are the foundation of all process simulations, directly influencing equipment sizing, energy requirements, and capital cost estimates.