Operational Excellence
Digital transformation is crucial for operational excellence in volatile times. Leverage Industrial AI to ensure safety, sustainability & performance.
Safe, Smart and Effective Carbon Capture & Storage – Enabled by Digital Solutions
Carbon capture and storage (CCS) is an essential tool for companies to achieve net-zero emissions—and for the world to begin lowering atmospheric CO2 levels. However, a massive increase in CCS capacity is needed to reach global climate goals.
Carbon Circle's Approach to Scaling Up Carbon Capture and Storage (CCS)
Watch experts from Carbon Circle, an EPC specialist in carbon removal and energy transition solutions, and hear how they are improving the economics, execution and scale-up of their projects—including energy-from-waste (EfW) with integrated CCS.
AspenTech OSI CHRONUS Historian
Modern, highly-efficient data warehousing application suite specifically designed to handle data collection, archiving and queries of massive real-time data sets on a fully scalable platform.
AspenTech OSI DERMS: A Bright Future Ahead
In a dynamic energy landscape, DERMS leads the charge
Power and Utilities
AspenTech digital grid & distributed energy resource management systems (DERMS) support intelligent, secure, reliable and sustainable utility networks.
Full Industry Listing
Partner with AspenTech to navigate complex challenges. We bring industry expertise, applied science & data-driven insights to drive operational excellence.
Ensuring Process Safety Expert Insights on PSV Sizing in Aspen HYSYS®
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.
How SABIC Uses Hybrid Modeling and Machine Learning to Drive Smarter Operations Decisions
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.
Ensuring Accurate Process Designs with Calibrated Physical Properties
Physical property models are the foundation of all process simulations, directly influencing equipment sizing, energy requirements, and capital cost estimates.