This article, featured in The Chemical Engineer, discusses why operators often struggle to know where to begin to digitally transform. AspenTech's Paige Morse outlines how many operations, particularly in specialties, have become increasingly complex as customers demand higher levels of performance and quality and a greater range of options from producers. Operators realize they need to diversify product lines to meet these increasingly sophisticated needs. Download this article to learn more.

After an electrical storm stopped gas production at one of its plants, SABIC executives and reliability engineers turned to Aspen Fidelis Reliability to calculate the probability of it—or a similarly debilitating event—happening again. Read this article from Plant Services to learn more.

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

Sustainability is emerging as a critical business topic, as companies focus resources toward lowering emissions, waste and energy use in their production process. In this article, Paige Morse, Chemicals Industry Marketing Director, shares how sustainability affects four key areas within a processing plant and how digital transformation supports sustainability efforts through efficiency improvements.

In today’s market, thriving in the mining industry means exploring new strategies for growth in the digital transformation era. Mining executives are seeking leading experts to help mitigate risk and lower cost. The Northern Miner recently sat down with AspenTech to discuss best practices of how a true machine learning solution has the power to transform mining.

“We have been able to generate a lot of value at our plants: minimizing changeovers, reducing inventory because of a better sequence plan, and gaining better visibility” – William Duty, Director of Momentive’s Supply Chain Center of Excellence

See how you can use Aspen Technology solutions to develop a refinery wide process model that would enable refinery process engineers to evaluate the economic impact of operational changes and help planners achieve a more accurate assessment of profit margins.

In this article, Robert Golightly explains the limitations of traditional maintenance practices and how new advancements in predictive maintenance are pushing assets and equipment to the limits of performance. Learn how today's industry leaders are using low-touch machine learning to extract value from design and operations data to predict when and where failures will occur.

To achieve operational excellence, process manufacturers must quickly and systematically address the root causes of asset reliability problems, which include inadequate operating procedures, poor design, and improper scheduling of production.

As operators seek ongoing investment and replacement of assets for the stability of hydrocarbon markets, what is next in LNG and beyond? How do firms rise to the top of the class in terms of returns on exploration investment, instead of bottom of the barrel? This article talks about how Industry leaders bring all aspects of an asset development into concurrency—from exploration to reservoir studies to engineering design to construction and operation—and the use of digitalization, technology and big data.