Aspen Epos is the data platform that underpins AspenTech® Subsurface Science & Engineering (SSE) solutions. From a single project to a network of shared data, the open, innovative Aspen Epos data management infrastructure empowers multi-disciplinary teams to collaborate on projects and interact in a common visualization environment.

As the world now faces the challenges brought by the energy transition, innovation will again play a key role as we work to remake the world’s energy system for a low- or no-carbon future, says Antonio Pietri, AspenTech's President and CEO.

Distributed Energy Resource Management Systems (DERMS) are quickly gaining adoption as an indispensable tool for managing the large influx of distributed energy resources (DERs). The ability to optimize and orchestrate huge numbers of DERs is essential to integrate large amounts of intermittent renewable generation while also ensuring grid reliability.

Watch this webinar on Aspen InfoPlus.21® (IP.21) from AspenTech, exploring the potential of contextualizing historical data to transform your business.

The environment in which pipelines must operate is changing rapidly and dramatically, as constant shifts in the global marketplace have underscored a need for increasing flexibility.

AspenTech Introduces New Software Updates Enabling Customers to Achieve Advanced Levels of Operational Excellence

Aspen Mtell introduces exciting new features, including Alert Manager, industry-specific asset templates, custom models (BYOM) and intuitive dashboards and KPIs for improved visibility, health insights and recommended actions. This infographic provides a comprehensive overview of the capabilities now available in Aspen Mtell.

Aspen Mtell® combines the power of data and technology to enable reliability and maintenance engineers to monitor the performance of assets, providing real-time visibility into asset health and actionable insights for faster decision-making. Discover why companies like LG Chem, Evolution Mining, OCP Ecuador and others have opted for AspenTech´s prescriptive maintenance solution to improve their operational efficiency and achieve carbon mitigation and sustainability goals.

AspenTech provides over 140 easy-to-use application models that you can adapt to your own initiatives, along with the supporting documentation to help you get started. Models cover areas such as bio-based feedstocks, carbon capture, emissions management, hydrogen economy, materials circularity and more.

Leverage machine learning to perform quick and accurate amplitude inversions and rock property estimations when short project timelines exist. Aspen SeisEarth’s Neural Network Inversion feature provides a step-by-step workflow available for interpreters and non-specialists.