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.

In today’s competitive project environment, almost every process industry organization is seeking ways to reduce the time and capital cost of projects. During this on-demand webinar, we deliver results of a recent industry survey on bidding and estimating performance, highlight best practice methodologies and describe how to use that information to make impactful improvements.

Acid Gas Removal is a necessary step for removing carbon dioxide and hydrogen sulfide, but operations can be troublesome and costly. With impurities, process recycles, column internals and process configurations that introduce complexities in analysis, operational improvements can be difficult to identify and implement. In this introductory webinar learn how you can improve column operations with rate-based modeling, elevate analyses of systems with impurities and much more!

El ensuciamiento de los intercambiadores de calor provoca un consumo excesivo de energía, gran pérdida de presión y, a veces, interrupciones en el proceso. La incapacidad de medir los niveles de ensuciamiento para las unidades operativas agrava el problema. Aprenda cómo las soluciones de Aspen Technology para gemelos digitales le ayudan a monitorear los niveles de ensuciamiento en los intercambiadores de calor.

Today, it’s more important than ever to perform rigorous optioneering to find the best solutions for improving process efficiency and asset flexibility. In this webinar, AspenTech’s experts will show how the new Aspen Multi-Case™ dramatically accelerates the evaluation of design and operating scenarios, provides visual tools for selecting the best alternatives and improves overall agility and collaboration across the engineering team.

Real equipment data can enrich the accuracy of your process model, allowing you to make decisions more confidently. By accessing API and ANSI pump manufacturer data with the new Sulzer Select Application, you can support process optimization projects, FEED studies and various “What If” scenarios without leaving Aspen HYSYS® or Aspen Plus®.

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.

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.

As predictive and prescriptive analytics become better understood across industries, companies are putting new focus on maintenance maturity and the use of digital technologies. They’re realizing that having a robust maintenance program means leveraging APM technology—and their data—to the fullest advantage.

Are you experiencing unplanned equipment failures and higher than expected warranty and program costs? A critical step in the IoT journey is using historical and real-time data to forecast when equipment could fail through early identification of anomalies and fault prediction. During this webinar, Frederic Bastien, VP, Product Management with AspenTech, will discuss how advanced IoT models predict equipment failures and provide the following benefits: