Aspen Hybrid Models combine AI and first principles to deliver a comprehensive, accurate model more quickly without requiring significant expertise. AspenTech® is uniquely positioned to leverage over 40 years of domain expertise to make AI applicable to the process industries. This next generation of solutions will democratize the application of AI with Aspen Hybrid Models to optimally design, operate and maintain assets—online and at the edge.

Aspen Hybrid Models combine AI and first principles to deliver a comprehensive, accurate model more quickly without requiring significant expertise. Machine learning is used to create the model, leveraging simulation or plant data while using domain knowledge, including first principles and engineering constraints to build an enriched model without the need for modeling or AI expertise.

This executive brief highlights the results of a recent survey conducted with Oil & Gas Journal on how EPC firms are pursuing new sources of revenue from the operations and maintenance phases of a project lifecycle.

Aspen HYSYS has been updated and improved with additional features over the last few years. From concurrent engineering to integrated gas plant modeling and refinery-wide modeling to streamlined process safety analysis, experience the latest innovations in chemical process simulation. This checklist shows the addition of features and incremental improvements by version.

What is a Digital Twin and what does it do? View this infographic to learn what a digital twin is and how it provides important insight on system performance enabling companies to optimize operations and reduce costs by maximizing uptime with real-time recommendations.

AspenTech's performance engineering solution reduces plant CAPEX and OPEX while improving time to market, energy efficiency and profit margins.

Sustainability remains top-of-mind for most executives as they work to balance environmental concerns with business performance. Digital solutions have emerged as a key enabler to help companies make progress toward their sustainability goals.

While most chemical companies have sustainability initiatives in place with varying reliance on digital technologies to achieve these goals, challenges remain. What are the key enablers to eliminate emissions and waste, extend material use and regenerate natural systems? How do new innovations accelerate this effort?

Implementing AI-based APM solutions addresses unexpected breakdowns before they happen, resulting in improvements in safety and environmental performance, minimized losses and improved productivity.

Do Digital Twins, APC and APM technologies make financial sense in smaller process industries and alternative industries?