For metals and mining, a prescriptive maintenance solution marries the inherent knowledge of operations with existing process data to automatically create an alert when a failure will occur - reducing the time spent searching for root causes.

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.

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.

The impact of COVID-19 has accelerated digitalisation for the process industry. In this exclusive interview with Pipeline Oil & Gas News, Antonio Pietri, President and CEO of AspenTech®, discusses how this acceleration of digitalisation will lead to the creation of a Self-Optimizing Plant.

Leaders often wonder, where do we apply digital technologies to the challenges in our business? How can we chart our success? This uncertainty is understandable considering the technology’s complexity and rapid evolution, but understanding and integrating artificial intelligence (AI) is increasingly critical to competitiveness in the chemical industry.

For food and beverage companies, quality mishaps during production can mean more than a literal poor taste in a customer's mouth. In addition to the potential impact on consumer safety, quality lapses can slow down production and result in money down the drain.

Gain consistent, reliable process design results across your organization with state-of-the-art physical property data. Learn how to leverage Microsoft Excel to deploy properties analysis inside your organization with the Aspen Properties® Excel add-in, providing you with property data right at your fingertips.

Petroleum refining planning and scheduling models created using Aspen PIMS™ and Aspen Petroleum Scheduler are essential for making key decisions regarding feedstock selection and refinery operating conditions that affect refining profit margins. Engineering simulations in Aspen HYSYS® Petroleum Refining can help improve the accuracy of the planning and scheduling models to increase refining profit margins. View this on-demand webinar to gain an understanding of how to improve petroleum refining margins with better collaboration among Engineering, Planning, and Scheduling groups.

Based on our recent survey, 40% of upstream companies are currently using data analytics to improve operational effectiveness. Hear Ian Lewis and Justin Jacobs from Petroleum Economist present insights from this survey of upstream industry executives during this on-demand webinar. The webinar also includes case study examples of upstream companies reducing production costs using data analytics. Find out how predictive modeling and machine learning are revolutionizing oil and gas asset economics and reducing production costs. Don’t get left behind—watch now!

At the Abu Dhabi International Petroleum Exhibition & Conference, global executives discussed how these three attributes are essential to adapting to a new reality.