On-Demand Webinar

Make Informed Process Design Decisions Using Activated Economics

How do you consider capital and operating expenses while developing process designs? With Activated Economics, process engineers can quickly and accurately identify the economic impact of design decisions without leaving Aspen Plus® or Aspen HYSYS®. During this webinar, you’ll learn how to estimate capital and operating expenses to optimize and/or compare multiple process schemas to maximize profitability.

On-Demand Webinar

Making Difficult CAPEX and OPEX Decisions in Uncertain Times

How are you using technology to make CAPEX and OPEX tradeoff decisions in the current volatile market? Many industry leaders are leveraging digitalization in their scenario planning to respond to fast changing conditions while minimizing the impact on business.

On-Demand Webinar

Marathon Petroleum Corporation: A Journey to Full Refinery Scheduling

Refineries around the globe use Aspen Petroleum Scheduler™ to schedule their production. In this webinar, Scheduling Lead Paul Parrick will share Marathon Petroleum Corporation’s (MPC) journey to upgrading refineries across their organization to full refinery scheduling.

On-Demand Webinar

Maximize Batch Distillation Performance Using Aspen Plus®

Learn how modeling batch distillation processes within Aspen Plus can put your organization on the innovation fast track. With powerful capabilities for reaction modeling and visual insights into column performance, Aspen Plus enables you to quickly and intuitively maximize distillation equipment effectiveness and reduce batch cycle time.

On-Demand Webinar

Webinar: Maximize Product Quality and Yield for Your Batch Processes

How do you navigate the complexity of your batch processes? You need a sophisticated multivariate analytics tool that can reliably extract actionable insights from your process and laboratory data. In this webinar, we will provide an overview of our Aspen ProMV™ software suite, which provides leading-edge, patent pending batch data analytics to continually drive your process to optimal performance for quality, yield and throughput, while ensuring process safety.

On-Demand Webinar

Agilice la selección de diseños conceptuales y reduzca el CAPEX del proyecto entre un 15% y 30% con el diseño 3D en FEED

Las empresas de energía y productos químicos siempre buscan reducir el CAPEX mientras aceleran los proyectos en facilidades existentes. La nueva tecnología de AspenTech de diseño 3D conceptual OptiPlant, integrada con otras herramientas de estimación y simulación de procesos, puede reducir el tiempo de análisis de alternativas a la mitad e identificar de la forma más rápida el mejor diseño y así poder ahorrar hasta un 30% en CAPEX.

On-Demand Webinar

How Aspen Mtell® and Aspen ProMV™ Enhance the Capabilities of Data Science Teams

Feature engineering, state classification and best model selection can be complex, time-consuming tasks for data science teams. While building customized tools is often the first instinct, today’s Asset Performance Management (APM) applications with built-in industry expertise can help data scientists speed up this process to rapidly design and scale new solutions.

On-Demand Webinar

More Efficient Data Management with Aspen IP.21

Discover the power and flexibility of Aspen IP.21 with aspenONE Process Explorer and how it allows you to use your existing metadata, while reducing tag consumption.

On-Demand Webinar

Modeling Carbon Capture for Scaleup and Optimized Economics Featuring NETL

With more than 60 active projects globally, it’s clear that carbon capture plays a key role in many companies’ overall carbon reduction strategy. However, the economics and technology remain challenging. Digital models are an effective approach for optioneering and evaluating the best carbon capture solution for different applications.

On-Demand Webinar

Reduzca el riesgo operacional en las Unidades de Destilación utilizando un Digital Twin

En el panorama volátil actual, los refinadores deben cambiar sus operaciones para adaptarse a las demandas de los productos que están en constante cambio, y hacerlo con una fuerza laboral que trabaja remotamente. La tecnología de digital twin ofrece información clave para que los ingenieros puedan predecir posibles disrupciones del proceso desde cualquier lugar.

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