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.

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).

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.

The process industry’s big data problem is the need to support the interlocked decisions that drive profitability.  Links to short video on data management for Manufacturing Operations Management (MOM).

This article published in Business Standard [India], by Sunil Patel and Ron Beck, describes how E&Cs can gain a competitive advantage, achieving lower design costs (CAPEX) for clients through modular design; and using aspenONE engineering for design templates.

This Chemical Industry Digest article describes how to lower costs through improved productivity during Basic Engineering and FEED.

Demo of aspenONE Process Explorer, the latest visualization technology from AspenTech. It delivers information that is timely, relevant and sharable.

Learn about the project CAPEX benefits of modular design. aspenONE Engineering has differentiated functionality for templating modular designs.

Think about estimating as a new way for business success for an E&C.

Both EPCs and owner-operators need to look at better estimating business processes and systems. That spreadsheet approaches are a major project risk and bottleneck.