Learn how Generative AI within Aspen OptiPlant 3D Layout™ automatically produces multiple 3D layout options for a carbon capture plant within minutes instead of weeks.

Learn the answers to your questions about Activated Energy Analysis. We compiled a list of questions and answers from the webinar, “Reduce Energy Use and Emissions with Process Design Workflows That Integrate Energy Analysis.”

Better Together: S&P Global, AspenTech and AWS Are Transforming Decision Making for Refineries

Upstream oil and gas producers work in a challenging environment where accurate visibility into surface processing facilities is critical to ensure safety and optimize production capability in the entire asset.

The characterization of reservoir fractures poses significant challenges for onshore well planning and hydrocarbon production.

As part of a collaborative effort to bridge the gap between academia and industry, AspenTech’s Academic Program team recently partnered with the University of Wisconsin-Madison to equip chemical engineering students with practical skills and knowledge in digital technology, specifically in Aspen Unified PIMS, the industry’s leading production planning optimization solution.

By integrating AI into their strategic framework, businesses are positioned to drive and communicate their commitment to sustainability more effectively.

Dr. Bruno de Ribet, an expert in the oil and gas E&P industry, explains how machine learning and Industrial AI have led to deeper insights into relationships in geological data, helping to understand the risks and prospectivity of reservoirs.

The upstream industry is facing the daunting challenge of producing secure, sustainable and affordable energy for the world’s current and future needs.

Innovative digital technologies key to helping Landsvirkjun integrate and control power generation while achieving carbon neutral goals