Learn how AspenTech University can help organizations to navigate challenges and compete at the highest level with our end-to-end competency development curriculum. AspenTech University offers flexible, expert-led classes that teach the in-depth knowledge and skills required to fully apply AspenTech solutions. Learn by solving real-world problems through hands-on exercises.

Global energy companies trust the AspenTech® Subsurface Science & Engineering portfolio to solve their most complex exploration and production challenges while reducing geological risks and minimizing impact on the environment. Get a quick look at our products, with QR codes linking to more details. Download now.

Register today for the premier global event (April 29–May 3 in Houston, TX) for AspenTech customers, including users, operational leaders and executives within asset-intensive industries who are looking to elevate their business performance, improve their resiliency and meet their sustainability targets.

Upstream companies today must achieve operational excellence by reducing emissions and utility demands, improving production at existing assets and replacing and expanding reserves while exhibiting capital discipline.

Aspen Big Loop™ is an open ecosystem for setting up automated, reproducible and auditable subsurface workflows. The workflows help propagate uncertainties and capture their dependencies while calibrating reservoir models to observed data. The result is reliable probabilistic predictions.

The Reykjanes reservoir, lying in a volcanic environment in Iceland, is assumed to contain supercritical fluids, whose energy content is about ten times higher than conventional geothermal systems. Drilling a well in this environment has to cope with very high temperature and pressure as well as an intensely fractured subsurface. A detailed well design can help minimize the likelihood of drilling and completion problems that could compromise the success of the project.

Field development planning using reservoir models is a key step in the field development process. Numerical optimization of specific field development strategies is often used to aid planning, and Bayesian Optimization is a popular optimization method that has been applied in the past.

Accelerate commercialization at large scale across all stages of CCUS: capture, transportation, utilization and storage. Increase carbon project viability and reduce costs for long-term carbon storage.

Optimize production from upstream assets from the reservoir to separation and processing plants to maximize profitability and ensure ESG compliance.