Understanding key reservoir properties like porosity, permeability, and their interrelationships is crucial for accessing CO₂ injectivity and storage potential in carbon capture and storage (CCS) projects. Traditional regression techniques often fall short in complex reservoirs, where permeability can vary widely across multiple lithologies.

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.

Microgrids are a hot topic for energy-intensive companies—and for good reason. Industrial assets from refineries and data centers to critical infrastructure must run continuously to meet not only production targets but also net-zero goals.

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.

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

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

This premier event brings together industry leaders, innovators and practitioners from across the Middle East and Africa (MEA) to help elevate business, drive growth and achieve sustainability goals.

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.