Blacks Swans and Gray Rhinos: Building Future Resilience
As all companies have been challenged by the current economic and health crisis, the successful recovery requires a new view toward future development and growth with metrics that consider broad and more long-term goals. Featured in Hydrocarbon Processing, AspenTech’s Paige Morse shares considerations for building future resiliency that center around digitalization.
How Digitalization and Industrial AI are Accelerating Sustainability
The 2015 Paris Agreement and other international climate change accords have helped raise global awareness of the need for countries to take urgent action to combat climate change. As companies continue to focus on sustainability, a common theme is taking shape around the role of digitalization as a key enabler. In fact, a recent ARC Advisory Group survey revealed that 75% of respondents rated digital transformation as highly important for achieving sustainability goals.
A Random Walk Through the Energy Transition
Navigating the energy transition to net zero operations is a complicated journey for many oil and gas majors. As industry leaders start to shift their focus, they must rely on the power of technology to help them remain agile and improve their future position.
Acceleration of Digitalisation is Shaking Up the Process Industry
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.
Reformer Model-Based Inferential Properties Embedded in APC
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.
Processing Magazine: Why Time's Up on Preventive Maintenance
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.
Strategies to Manage Asset Performance
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.
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