Expanded Relationship Drives Customer's Energy Transition Initiatives

A recent study conducted by ARC Advisory Group analyzed how leading manufacturing companies are leveraging artificial intelligence (AI) and machine learning tools to improve asset performance. While condition-based maintenance is most prevalent, the study found that leaders have successfully built AI capabilities to enhance asset performance practices through in-house platforms, commercial solutions and a combination of both.

In this article, legacy 3D seismic data from the KG deep water basin underwent broadband reprocessing using state-of-the-art-software.

We're excited to present the AspenTech DataWorks Community—a dynamic platform designed to connect, educate and empower industrial professionals like never before.

Digital technology is a strategic element in reducing cost across the hydrogen value chain, accelerating scaling and speed of implementation, as well as ensuring the safety and reliability of hydrogen solutions.

Learn how a major European refinery reduced energy usage and improved high-value product yields by leveraging the integration of process simulation technology and energy analysis to identify opportunities for greater energy efficiency.

In an interview with ETEnergyworld, Vikas Dhole, GM of Sustainability IBU explains AspenTech's focus to cater to the growing demand for sustainable industrial practices.

With an increasing global population – and a significant portion without access to electricity – there is quite a journey ahead for sustainability. The world needs metals in far greater magnitude than what is produced today.

Digital software provides the foundation for widescale adoption of electricity as a power source, while providing choice — in terms of technologies deployed to enable regional and microgrids, on a global scale.

Aspen InfoPlus.21® (IP.21) is an industrial process historian for collecting and storing large volumes of process data for analysis and reporting. With Aspen IP.21, you can drive performance improvements and optimize decision making through near real-time asset visibility, analysis and monitoring.