Surface waves can generate coherent noise, known as ground roll, in seismic surveys. Ground roll can significantly degrade data quality.

This article shows how a machine-learning workflow based on a Self-Growing Neural Network (SGNN) was used by Aspen SeisEarth™ as an efficient and unbiased scanning tool for carbon capture and storage (CCS) monitoring, enabling faster identification of the confinement system.

Learn how AspenTech Inmation works to unlock value from your industrial data.

Learn how BASF, a large global chemical producer, uses AspenTech Inmation™ to unlock value from industrial data.

Today’s leading chemical companies are making better, faster business decisions using data-driven information. How? They are unlocking the value of their data using AspenTech® solutions.

These are challenging times for industrial companies as the world requires more energy but with a much lower carbon footprint.

To reach global sustainability goals, innovation must reach across the entire value chain, including new business models and strategies to reach the market and achieve collaboration.

Today's leading companies are making better, faster business decisions using data-driven information. How? By unlocking the hidden value of industrial data using technology from AspenTech.

Roch Gauthier, Sr. Director of Product Management for Aspen Technology, highlights four key business processes present in chemicals companies and their purposes.

AspenTech announced a partnership with Aramco, one of the world’s leading integrated energy and chemicals companies, to introduce a unique, integrated modelling and optimisation solution that will enable capital intensive industries to achieve practical and economic solutions for Carbon Capture and Utilisation (CCU).