HD Hyundai Oilbank, a major South Korean refinery, produces gasoline, diesel, kerosene, jet fuel, LPG and naphtha. Due to changes in feed blending ratios every two days, engineers spent significant time recalibrating process simulation models before each use.

Learn how AspenTech processing and imaging software enabled more accurate reservoir characterization of the KG basin off the coast of India. Sharper subsurface images provided a more detailed description of the reservoir and enhanced data interpretability, while the use of advanced broadband processing enabled the extraction of additional information from legacy data, with no need for further costly acquisition. Better mapping of gas hydrate deposits led to the identification of a site for pilot production drilling.

Learn how AVA was deployed at Repsol to give operators an accessible way to understand APC application performance at any given time and how to respond with greater confidence in the moment.

OQ's teams now run on Aspen Petroleum Scheduler™ — one source of truth, even during disruptions.

AspenTech Industrial AI™ is a game-changing technology for the process industries, combining the speed and power of AI algorithms with the efficiency and parameters of real-world domain expertise. Our purpose-built AI solutions bring together data insights, engineering fundamentals, asset knowledge and industry expertise, enabling companies to adapt and respond quicker to ever-changing business needs.

It’s often described as the largest machine in the world, but even that doesn’t do justice to just how complex the electric grid really is.

Upgraded systems help Gainesville Regional Utilities improve service and manage storm outages.

This Business Reporter article, featuring Heiko Claussen, AspenTech SVP & Co-Chief Technology Officer, explores how asset-intensive industries can deploy artificial intelligence (AI) strategically to strengthen both efficiency and sustainability.

To drive its condensate maximization initiative, ADNOC is using AspenTech® solutions to develop a process simulation digital twin using a hybrid model.

In a world where one data error can ripple across the grid, NMM is the foundation for reliable, efficient and future-ready operations.