Shell recently completed a pilot evaluation of Aspen Unified Planning™ (AUP) and Aspen Unified Scheduling™ (AUS) at the Pernis and Moerdijk manufacturing complexes. The objective of the project was to simplify and streamline the deployment of newer software versions to enhance the efficiency and usability of its planning and scheduling tools. Integration between planning and scheduling was also a key focus.

What if you could accelerate your data ingest and transform it with a unified data analytics solution that connects it all? Now you can.

In today's rapidly evolving industries with ever-changing dynamics, maintaining operational efficiency and reliability is crucial. Digitalization offers insights into facility capacities and capabilities across varying scenarios—short and long term. By understanding the potential effects of equipment downtime or changes in production plans, organizations can proactively manage risks and optimize resource allocation.

Due to demands of production, evolving regulations, need to advance sustainability goals and a widening skills gap, organizations are implementing adaptive process control capabilities.

Developing a strategic plan to achieve net-zero goals for asset-intensive industries can be a complex and challenging exercise. AspenTech Strategic Planning for Sustainability Pathways assists teams in developing an effective, long-term decarbonization strategy through the screening of multiple technologies while optimizing the balance between financial objectives and net-zero targets.

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.

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.

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.