White Paper

Manufacturing Cost Competitiveness in Commodity Chemicals: Five Essential Principles for Emerging Market Producers

All chemical facilities have opportunities to reduce manufacturing costs, including newer, state-of-the art plants, older plants and those in between. Leading global producers have demonstrated reduced energy consumption, increased yield and higher reliability by simply improving operational practices through the application of advanced technology.

White Paper

Extended Functionality and Validation of Sulsim Sulfur Recovery in Aspen HYSYS

Download this white paper and learn how the leading technology for sulfur recovery was incorporated into Aspen HYSYS, as well as its new functionality. With the market-leading accuracy of Sulsim Sulfur Recovery and Acid Gas Cleaning, you can now model and optimize the whole gas process in one environment.

White Paper

Ensure Consistent Operations and Mineral Recovery with Machine Learning

Enhance mine-to-mill-to-metal operations with cutting-edge technologies that drive production increases, cost savings and increased safety for employees, the community and the environment. Learn how machine learning in AspenTech’s asset performance management solutions helps ensure reliable operations, enhance process efficiencies and increase mineral recovery.

White Paper

Enabling Better Project Outcomes: Six Tips for Faster, More Accurate Cost Estimates

Six tips are offered that speak to the strengths of ACCE: Eliminated manual tasks, automates repeated tasks, handles change management, leverages historical content and starts the estimating process leveraging conceptual engineering.

White Paper

Empowering Operators and Frontline Process Engineers with AI-Powered Operational Analytics

Today’s industries face mounting challenges in assuring the best operational performance of assets, both mechanical and process. Managing asset performance is the key element of controlling the operational risk that varying situations can present.

Sustainability Models

Looking to reduce your company's carbon footprint while improving your bottom line? AspenTech has over 100 easy-to-use sustainability sample models that you can adapt to your applications and supporting documentation to help you get started.

Blog

Podcast: Using Analytics to Accelerate the Digital Transformation of the Pharmaceutical Industry

In this Pharmaceutical podcast, host Dave Howell from Process Industry Informer discusses with AspenTech's Lawrence Clark, VP and Richard Porter, Director, the latest technologies and future insights for the process manufacturing industries.

Podcast

How AI is Used to Achieve ESG Goals and the Circular Economy

In this episode of the ESG Decoded Podcast, Paige Morse, Industry Marketing Director at AspenTech, chats with Amanda Hsieh on the connective tissue between Artificial Intelligence (AI) and sustainability. AI is a key driver in the achievement of ESG goals as it supports the software capability that can help improve operations and make processes safer for people and the environment. Paige also explains the concept of Industrial AI. ESG Decoded Podcast is powered by Global Affairs Associates.

Podcast

Podcast Series - Front-End Engineering Design: Why is it so crucial to project success?

Hydrocarbon Processing editor-in-chief and associate publisher, Lee Nichols, spoke with Paul Donnelly, Industry Marketing Director, Aspentech, on the importance of FEED and critical steps and technologies that can help optimize capital projects.

Podcast

Conversations on Energy and Technology - How Advanced Process Control Saves Money and Improves Sustainability

This podcast is part of a series featured on the “In the Oil Patch” radio show and podcast produced by Shale Oil & Gas Business Magazine. This episode features Aspen Technology’s Ron Beck, Director of Industry Marketing, and Alex Kalafatis, Senior Director of Product Management, sitting down with host Kym Bolado to discuss how to reduce costs and increase sustainability with a core digitalization solution, advanced process control.

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