During the Q&A portion of a AspenTech Inmation™ webinar with Verdantix, attendees had the opportunity to pose their questions to the panel of experts presenting. This document contains the answers to those industrial data questions.

As critical net-zero targets remain top of mind for today’s chemical and energy companies, technologies like solvent-based carbon capture can be deployed to reduce carbon emissions and advance sustainability goals.

The ability to accurately characterize, model and predict the distribution of rock facies in the reservoir helps understand reservoir quality and behavior.

The Iberdrola Group is driving Spain toward a future powered by 100% renewables. In 2007, Iberdrola made clean energy adoption the central pillar in its corporate strategy. Starting with large investments in wind energy, the company has since evolved to develop and deploy utility-scale solar, energy storage, smart grids and digital technologies.

If companies are going to make good on their commitments to achieve net zero carbon emissions, looking at emissions once a year in an after-the fact report is simply not a viable option.

A leading global producer of catalyst solutions and specialty chemicals faced a significant challenge as a result of light impurities causing product quality issues in its downstream production units. By implementing Aspen ProMV, the company witnessed a rapid time to value, with analysis and modeling completed in a fraction of the time required by competing solutions.

Discover how Eldorado Brasil, a leading pulp producer, revolutionized their production processes with industrial AI. Seeking to optimize efficiency, reduce waste and minimize resource consumption, Eldorado used Aspen Hybrid Models, combining the power of AI with Aspen Plus® first principles modeling.

Are you struggling to extract meaningful insights from your industrial data using traditional PLS (Partial Least Squares) modeling techniques? It's a common challenge—despite scrutinizing scores, loadings and statistical parameters, achieving satisfactory model performance remains elusive.

Delivering energy transition projects on time and on budget requires tight collaboration across multiple disciplines to synchronize various deliverables.

For the third year in a row, AspenTech has been recognized with an Industrial IoT Product of the Year Award from IoT Evolution World, a leading digital publication covering IoT technologies.