As energy companies shift to a new normal due to the pandemic, the energy transition continues to gain strong momentum. Industry leaders are focused on meeting aggressive sustainability targets and are making investments in digitalization to accelerate innovation.

Industrial organizations are sitting on a decades-old, massive double-edged sword: their data. Until now.

A major European refiner implemented Aspen Technology’s reformer inferred property package for control and optimization of their catalytic reformer in two of its refineries. Download this article to learn more about the company's methodology of execution and the benefits derived.

This article (published in PTQ Magazine) describes how the on-line coordination and optimisation of refinery process units led to a 10% increase in middle distillate production without investing in process units or equipment.

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.

Real-time condition-based monitoring of assets is an attractive solution for mining companies to minimize their unscheduled downtime and improve reliability of critical equipment. The success of an asset monitoring program depends on how well this data is analyzed, filtered and categorized to enable accurate predictions of impending failures. Focusing on the behavior of an asset only tells a small portion of the story. To fully predict failures, the trends of the entire process must be considered as a whole.

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.

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.

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.

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.