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.

Recently, the AspenTech DataWorks team commissioned Vanson Bourne to perform an independent study of 200 North American and European decision makers to learn more about their industrial data usage

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.

In conversation with Nima Yazdanpanah, founder and principal of Procegence, an on-demand modeling and simulation, implementation services and training consultancy