On Demand Webinar

Industrial AI in Action: Improve Reactor Operations with Unprecedented Simulation Accuracy

Reactor operations continue to be critical for today’s refineries, but reactor simulation solutions have traditionally been difficult to use and maintain. The problem is magnified as experienced engineers and operators retire at a faster rate.

On Demand Webinar

How Hybrid Models Solve Complex Gas Plant Issues Quickly and Easily

Leveraging the power of AI, first principles models and vast domain expertise, Aspen Hybrid Models™ empower users to model equipment and processes that used to be difficult – even impossible.

On Demand Webinar

Hybrid Models in Energy: Leveraging Industrial AI to Overcome Operational Challenges

A breakthrough innovation, Aspen Hybrid Models™ help energy companies quickly develop comprehensive, accurate models to address the most complex operational challenges. With the release of aspenONE® V12, Aspen Hybrid Models leverage the power of AI without engineers requiring data science or machine learning expertise—truly democratizing the application of Industrial AI.

On Demand Webinar

Hybrid Models in Chemicals: Leveraging Industrial AI to Overcome Operational Challenges

A breakthrough innovation, Aspen Hybrid Models™ help chemical companies quickly develop comprehensive, accurate models to address the most complex operational challenges. With the release of aspenONE® V12, Aspen Hybrid Models leverage the power of AI without engineers requiring data science or machine learning expertise—truly democratizing the application of industrial AI.

On Demand Webinar

3 Ways to Drive Progress with Sustainability and Net-Zero Targets

As sustainability remains an industry imperative, it’s essential you make progress with both your near- and long-term sustainability targets.

On Demand Webinar

Desarrolle sus iniciativas de sustentabilidad a través de la digitalización

Las innovaciones en IA industrial ahora permiten la descarbonización de los principales procesos químicos y de refinación, mejoran la eficiencia energética y del agua, reducen las emisiones de gases de efecto invernadero e impulsan la captura y el almacenamiento de carbono. Descubra cómo estas tecnologías digitales y aplicaciones pueden apoyarlo a alcanzar más rápido sus objetivos de sustentabilidad a través de la simulación de procesos, la optimización de servicios públicos, el control avanzado de procesos, el mantenimiento predictivo, la optimización de la planificación de la producción y la gestión de la cadena de suministro.

On Demand Webinar

Polymer Digital Twin: Enabling Plant of the Future for a Global Energy-Petrochemical Major

In this session from OPTIMIZE™ 21, learn how how Polymer Digital Twin models built by Equinox Software and Services Pvt. Ltd. (EQNX) helped build capabilities at a Greenfield Polymer manufacturing facility. The Digital Twin Process models using Aspen Plus® were deployed prior to the plant commissioning, helping the Operations team to quickly build capabilities for Polymer manufacturing enabling agility, collaboration and profitability from the first day of operations of the integrated refinery, petrochemical and polymer complex.

On Demand Webinar

Use of Surrogate Models to Enhance Rigorous Simulation Performance

Surrogate models (or Reduced-Order Models) allow simulation users to explore and identify optimal process performance conditions faster than full, rigorous simulations. But there are times when users may find they are extrapolating beyond the data used to develop the surrogate model or when there is a desire to confirm the accuracy of the surrogate model. In these cases, the surrogate model can be used to enhance model performance, from both a robustness and performance perspective.

On Demand Webinar

Rapid and Accurate Steam Reformer Model Development Using First Principles Driven Aspen Hybrid Models™

The steam reforming reaction to generate hydrogen from natural gas takes place at high temperatures. Conventional rigorous reactor modeling requires a temperature profile of the process fluid, which is difficult to estimate or measure. Using the latest First Principles Driven Hybrid Models, it was found that a relatively simple model can accurately represent a wide range of plant data. In this presentation, the methodology of first principles driven Aspen Hybrid Models, the importance of data conditioning, comparison with conventional methods and potential benefits are all discussed.  

On Demand Webinar

How Tupras Refineries Uses Industrial AI to Save Energy, Improve HX Operations

Efficient heat exchanger (HX) operations is critical for plants to improve energy efficiency and meet sustainability goals. Lack of visibility into the fouling levels of HX units and the inability to predict future fouling levels are major challenges while scheduling maintenance work. Although rigorous process modeling can give insights to current fouling levels, prediction of future fouling levels has been difficult.

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