Enhance mine-to-mill-to-metal operations with cutting-edge technologies that drive production increases, cost savings and increased safety for employees, the community and the environment. Learn how machine learning in AspenTech’s asset performance management solutions helps ensure reliable operations, enhance process efficiencies and increase mineral recovery.

Reliance, an Indian conglomerate, built an Aspen Plus model in-house for a distillation column revamp with Aspen Plus which resulted in increased production by $2.4M/year. Learn how they saved money by building the simulations themselves and coming up with a cost-effective solution.

Descubra cómo un fabricante de termoplásticos de ingeniería descubrió la causa raíz de fallas recurrentes en sus calderas de tubos y calderas utilizando el mantenimiento prescriptivo de Aspen Mtell.

Aspen Technology to Present at the Berenberg Design Software Conference USA 2019

Learn how a major Middle East Refinery used AspenTech solutions to address operational issues with their crude distillation unit (CDU). This video highlights how the detailed hydraulic analysis capability in Aspen HYSYS, along with its seamless integration with the heat exchanger design & rating software Aspen EDR, helped the refinery troubleshoot a challenging operational issue with their CDU.

Rigorous simulation of crude distillation units (CDU) help refinery engineers make better operational decisions, effectively troubleshoot issues, identify operational improvement opportunities and update refinery planning tools. Learn how to use a CDU model in Aspen HYSYS to identify potential column operational issues using advanced visualization tools and determine the impact that feed crude changes have on yield and operations of the CDU.

Aspen Technology to Present at the KeyBanc Capital Markets 14th Annual Emerging Technology Summit

Frustrated designing your column or understanding how process changes will affect your distillation unit operations? Many non-ideal distillation systems cannot be modeled accurately with equilibrium-based modeling. Rate-based modeling provides a more rigorous modeling approach for complex systems. Once tuned, rate-based models can yield better predictions at extrapolated operation conditions.

Digital technologies offer significant opportunity for improved quality and cost savings across the chemicals industry by enabling more efficient design, operation, and maintenance of assets throughout their lifecycle. However, many chemical companies are still in the early stages of understanding how such opportunities can be applied effectively to their business. This article highlights how top companies are using data to drive business and operational decisions, and are progressing with their own transformation to the next level of performance and operational excellence.

Watch this video to learn how you can better monitor your heat exchanger fouling levels using AspenTech solution.