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

Addition of pioneering network model management technology will enable utilities to effectively manage increasing grid complexity and ensure resiliency

Accuracy in cost estimation is crucial for the success and feasibility of capital projects. Yet cost estimates often involve uncertainty and unforeseen circumstances that can negatively impact the project timeline and budget.

The industry's best production planning optimization solution was recognized for powerful new features like a streamlined interface, improved cloud support and embedded Industrial AI.

Today’s polymer producers are challenged to ensure supply for increasing global demand while tackling ambitious sustainability goals. Process simulation plays an even more vital role, helping companies identify changes to optimize output and accelerate innovation, resulting in reduced energy use, minimized waste, improved quality and efficiently scaled production.