Article

Efficient Plant: Use Industry 4.0 To Elevate Sustainability

In this article, AspenTech's Paige Marie Morse delves into how digital-transformation technologies can help industrial organizations cut energy costs while reducing environmental impact. Download now to discover how AI and machine-learning technology combined can enable companies to predict asset malfunctions well in advance and have positive financial and sustainable results.

Article

Digitalization is the Next Step in Chemicals Excellence

Digital technologies offer significant opportunity for improved quality and cost savings across the chemicals industry by enabling more efficient design, operation, and maintenance of assets throughout their lifecycle. However, many chemical companies are still in the early stages of understanding how such opportunities can be applied effectively to their business. This article highlights how top companies are using data to drive business and operational decisions, and are progressing with their own transformation to the next level of performance and operational excellence.

Article

Chemical Industry Digest India - Transform and Grow: Manufacturing Excellence in Specialty Chemicals

In this article, Transform and Grow – Manufacturing Excellence in Specialty Chemicals, Aspen experts discuss what is required to drive transformation in specialty chemicals through technology-enabled best practices.

Article

Capital Projects Are Making a Comeback, But Are EPC Firms Ready?

This article describes how engineering, procurement and construction (EPC) firms are now forging ahead as the industry recovers from years of cutting costs to scale resources back up as the volume and size of projects increase.

Blog

Total’s Pouyanne Steals the Show at CERAWeek Day One

Total Oil CEO Patrick Pouyanne gave a riveting tour of the oil and gas industry, as the annual gathering of global energy influencers kicked off in Houston.

Article

AspenONE MES Software Converts Data into Value for Operational Excellence

LOTTE Advanced Materials was looking for a tool that would convert data into value to drive operational excellence. In this ARC Advisory Group article, read how LOTTE chose AspenTech’s aspenONE Manufacturing Execution Systems (MES) software to transform digitally, and build a robust data analytics platform. Now, LOTTE is able to lock in a visionary software implementation roadmap to optimize business processes and operations.

Article

Case Study - Optimization of Refinery Middle Distillate System

This article appeared in the 2018 American Fuel & Petrochemical Manufacturers (AFPM) Conference Daily (Oct 2018) that highlighted the Operational Planning, Control and Automation Technologies session during which Chevron talked about the closed-loop, real-time coordination of a refinery middle distillate system, the benefits and key takeaways.

Article

Bangkok Post - Petrochemicals to see growth

As domestic and global economies heal, the petrochemicals industry will enjoy healthy demand growth for the next two years, but greater emphasis on productivity technologies is needed to seize this growth. Read this article to learn how refineries, looking to improve their productivity, must bring scheduling activities under a single platform in order to streamline their workflow and achieve a greater view of the entire petroleum supply chain.

Brochure

Aspen Batch APC™

Aspen Batch APC™ (Advanced Process Control) is a closed-loop, model-predictive batch control system that improves product quality and yield, and lowers cycle times. It features a built-in optimization engine that predicts end-of-batch quality attributes at key decision points along the batch process. Aspen Batch APC enables manufacturers to improve process stability and product consistency for higher margins with a solution specifically designed for batch processes.

Brochure

Best Practices Checklist for Dynamic Studies

Dynamic simulation is a powerful tool for ensuring safety, operability and controllability, but moving models from steady-state to transient can be intimidating for new users. Use this checklist to get started creating a dynamic study from a steady-state flowsheet.

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