A global petrochemical producer wanted to improve monitoring and efficiency, specifically starting with energy consumption, of its pyrolysis furnaces by integrating a predictive vision. With the current process, it was challenging to maintain unit efficiency and stay at a consistent operating level. The company was able to solve these challenges by implementing Aspen ProMV™.

Aspen Technology Announces Financial Results for the Second Quarter of Fiscal 2023

As part of the V14 software release, Mtell is equipped with the capability to integrate external models.

Petro Rabigh wanted to improve margins for refinery products, to do so, they needed to identify the most optimal production yields and qualities of their refinery and petrochemical products.

Watch this video to learn how Aspen GDOT can help accelerate your digital transformation initiatives, improve refining margins and meet sustainability goals.

The award recognized the AspenTech's successful track record of nearly two decades delivering significant improvements in margin and energy efficiency through its innovative closed loop, multi-unit dynamic optimization technology.

This webinar presents a methodology, using a dataset from the Andean Foothills of Colombia, that synchronizes geophysical tomography and geomodelling through the project life cycle, guaranteeing an updated structural model and generating a geologically plausible velocity model.

This was one of the first unconventional hydrocarbon plays undertaken by a major operator in the thick stratigraphic interval of the Montney Formation, Altares area in Northern British Colombia.

Transform your mining operations and empower your mineral processing engineers with the AspenTech Advanced Process Control solution's industrial AI technology.

Aspen Technology has been selected as an award-winner in the 7th annual IoT Breakthrough Awards from a leading market intelligence organization that recognizes the top companies, technologies and products in the global Internet-of-Things (IoT) market.