On-Demand Webinar

Reducing Critical Mining Equipment Downtime: An Effective Approach

​It’s time to stop equipment breakdowns: but where and how should you start?

On-Demand Webinar

Webinar with Stork: Maintenance Maturity and APM 4.0

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.

On-Demand Webinar

디지털 트윈을 이용한 정유 공장의 운전 리스크 감소 방안

CDU(Crude Distillation Units)는 정유사에서 수익성을 추구하는 가장 중요한 공정입니다. 현재의 VUCA, 즉 변동성이 크고(Volatile), 불확실하며(Uncertain), 복잡하고(Complex), 모호한(Ambiguous) 비즈니스 환경에서 정유사들이 디지털 트윈 기술을 활용하여 현재의 불확실성을 보다 효과적으로 타개하여 민첩하고 신속하게 대응할 수 있도록 돕는 두 가지 기술 영역에 대하여 알아보겠습니다.

On-Demand Webinar

Realice análisis de costos relativos desde un simulador

Cuando se está en la fase de desarrollo del proceso el comprender las consecuencias económicas de las decisiones generalmente requiere que un ingeniero de proceso y un estimador pasen las hojas de datos y las condiciones de proceso de un lado a otro. Con Activated Economics puede obtener las aproximaciones económicas inmediatamente mientras construye la configuración de su proceso sin necesidad de cambiar entre distintos programas de software.

On-Demand Webinar

Rate, Design and Debottleneck Your Entire Flare Network with Accuracy and Efficiency

Ensuring process safety is important across the entirety of your plant or refinery. Within the process safety workflow, the rating, designing and debottlenecking of flare networks are essential to pressure relief analysis (PRA) projects. The Aspen HYSYS® software suite, including Aspen Flare System Analyzer, Aspen HYSYS Dynamics, and the PSV-sizing tool, provides a kit of process safety tools that enable you to produce the optimal flare system design — with greater ease and efficiency —across the complete plant or refinery.

On-Demand Webinar

Making the most out of Aspen Plus in Excel

In this webinar, we will show you how to improve productivity by deploying simulation models inside your organization using Aspen Simulation Workbook (ASW). We will demonstrate building a model in Excel with a C-2 splitter so you can see how you can use it in your organization.

On-Demand Webinar

Simplify Batch Process Improvement Using Aspen Plus®

When developing chemical batch processes, we often find ourselves running costly and time-consuming experiments. But what if we could predict process outcomes first, and only experiment when needed? Learn how industry leaders are simplifying batch process development to reduce experimentation, reduce batch cycle times and develop new processes faster. Discover solutions for reliable execution and easy accessibility in chemical R&D!

On-Demand Webinar

See How Inprocess Optimizes Hydrogen Networks in Refineries—using Aspen HYSYS®

A well-managed hydrogen network can take you one step closer to achieving your operating expense goals. During this free webinar, Inprocess—a technology consulting group serving companies in upstream, downstream, petrochemicals, and gas processing—will share their Hydrogen Network Management solutions and successes using Aspen HYSYS.

On-Demand Webinar

See How Aspen Watch Performance Monitor Keeps You Up to Speed

Aspen Watch Performance Monitor provides real-time monitoring and diagnostic information to help engineers and operators focus on the problems that erode margins. During this on-demand webinar, Joep Bazelmans of SABIC-Europe will share his methods and suggestions for implementing custom KPIs, helping you keep an eye on performance.

On-Demand Webinar

Revolutionize APC Model Building and Make More Accurate Predictions with Embedded AI

As companies look to improve efficiency amid changing conditions and constrained resources, new advancements in APC dramatically streamline operations. The newly released aspenONE® V12 features embedded AI and parallel computing to enable even less-experienced users to generate faster seed models and more accurate inferentials.

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