Machine learning technology can now predict equipment failures weeks in advance. But how do you decide when and how to perform the repair to maximize productivity and minimize risk? Learn how Aspen Mtell and Aspen Fidelis enable you to quickly evaluate hundreds of possible future scenarios, and understand the financial consequences and risk involved in different operational decisions.

The hydrogen economy presents an attractive pathway for companies seeking to decarbonize their operations. However, developing the necessary global-scale infrastructure for green hydrogen poses various challenges and trade-offs across the value chain. Aspen Fidelis assists companies in managing this uncertainty, quantifying risks and ensuring that their capital investments have the highest probability of delivering desired returns throughout the asset's lifespan. See how your company can realize green hydrogen and ammonia solutions at scale.

Unexpected disturbances and shutdowns can severely impact any manufacturing facility. The AspenTech APM 4.0 portfolio uses agents that can be replicated quickly and easily across all plant assets to assure production and avoid unnecessary maintenance. Learn how APM 4.0 delivers an all-inclusive approach to efficiency, productivity and safety to support operational excellence in plant operations and the bottom line for manufacturers.

The race to net zero is on. Energy and chemical companies are looking for innovative ways to reduce emissions while meeting or exceeding production targets. Learn how industry leaders are using AspenTech's Emissions Management solution to monitor emissions in real time, enabling them to make faster, smarter decisions across the enterprise. Discover how this breakthrough technology enables you to see trends, reducing both energy costs and CO2 emissions.

Project execution becomes faster and more reliable through automatic flow of data across the lifecycle. This video showcases the workflow to transfer project data from Aspen HYSYS to ABE to create datasheets and PFDs, and Hexagon’s P&ID, maintaining data integrity and consistency through digital handover across the engineering lifecycle.

View this brief demonstration of AspenTech’s new Emissions Management solution to discover how companies can make more profitable, more sustainable decisions in real time across all of their sites—and quickly see the results. A key benefit is that everyone responsible for a mitigation plan is working off the same data and same system—plus everyone has full visibility into what others are considering.

Learn how you can reduce carbon emissions 30-50% through effective application of industrial digitalization. AspenTech® has defined a digitalization pathway that will help companies understand, monitor, improve and make decisions on balancing emissions with yield and profit. Discover how monitoring, reporting and predicting future-state are key to optimizing production and balancing profit and carbon emissions.

For chemical and petrochemical producers, reducing emissions and minimizing disruptions to process requires analyzing and monitoring vast amounts of disparate process data. Learn how Petrocuyo, Braskem Idesa and other leading companies are gaining insight into variability issues and improving overall process efficiency.

Learn how the Hydrogen Economy Sustainability Pathway can make key digital technologies easy to adopt for supporting innovation, execution and scaling of hydrogen projects across the value chain, from renewables to hydrogen production, to storage and delivery of hydrogen, to end use.

This video showcases the streamlined workflow enabled by AspenTech Concurrent Engineering applied to a carbon capture project. The workflow enables the creation of state-of-the-art process simulation, equipment design, economic analysis, conceptual 3D layout generation, reliability analysis for equipment redundancy and data centric FEED deliverables. Through this demonstration, you will learn how to benefit from seamless data sharing across disciplines, increasing efficiency, minimizing estimation uncertainties and ensuring consistency in deliverables during project execution.