Article
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.
Article
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.
Article
数字化和工业AI如何加速可持续发展?
2015年《巴黎协定》和其他国际气候变化协定有助于提高全球对各国需要采取紧急行动应对气候变化的认识。随着企业继续关注可持续性,围绕数字化作为关键推动因素的作用,一个共同的主题正在形成。事实上,ARC咨询集团最近的一项调查显示,75%的受访者认为数字化转型对于实现可持续发展目标非常重要。
Article
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.
Article
Bringing the Power of Industrial AI to the Chemical Industry
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.
On-Demand Webinar
Building Effective Seed Models for Adaptive Process Control
John Campbell (AspenTech) shares how to use seed models (less than perfect models based on historical data or similar processes) to shorten the time before a controller is turned on to accrue benefits earlier and potentially develop multiple controllers at once (in parallel).
On-Demand Webinar
See How Eni Rapidly Develops New Controllers Using Adaptive Process Control Technology
Adaptive Process Control is primarily recognized for streamlining APC maintenance, however it is also very useful in new controller development. Eni shares their story on how they used Adaptive Process Control to build new APC applications faster and more efficiently than traditional methods, allowing them to achieve stable behavior in the presence of large model mismatch. "Seed" models were used to rapidly deploy controllers and accrue benefits immediately, all while minimizing disruption to operations.
On-Demand Webinar
Simplify Controller Tuning using Aspen DMC3 Smart Tune
Overview and demo from AT experts on Smart Tune- an enhanced optimization algorithm that simplifies the tuning and configuration workflow. Smart Tune allows users to directly specify objectives rather than enduring the complicated tuning process.
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