Explore how artificial intelligence is transforming upstream operations—automating workflows, integrating multi-vendor systems and empowering the next generation of subsurface professionals.

Attend OPTIMIZE 26 (May 11-14) to hear case studies and best practices from industry leaders at the event such as Albemarle, Evonik, Hindalco, MOL Group, OCP Ecuador, Peru LNG, SABIC and Takeda.

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

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.

This video demonstrates how to define a bio-feed or co-feed stream for use with any molecule-based reactor model in Aspen HYSYS. Molecule-Based (MB) Modeling is a cutting-edge technology in Aspen HYSYS that enables precise characterization and processing of both conventional and unconventional refining feedstocks, including bio-feeds and co-feeds.

The latest features in Aspen GDOT™ V15 offer a new flexible online optimization approach that caters to a wide range of applications, including broad production envelopes, high-value reactors and small-scale column applications.

As energy transition efforts accelerate, advanced subsurface monitoring technologies are critical to maximize hydrocarbon recovery and ensure safe, long-term carbon storage.

Optimizing production for industries with complex processes requires precise models. However, models can be challenging to create when processes include custom equipment, not available in standard model libraries.

Process engineers working with specialty chemicals often face the challenge of optimizing production systems—consisting of both batch and continuous processes. However, modeling these mixed processes can be complex and time-consuming. 

Frequent shifts in market dynamics and operational constraints make refinery decision-making increasingly complex. Traditional methods for refinery cost analysis and margin modeling struggle to keep pace, leading to inefficiencies and missed opportunities.