On-Demand Webinar: Drive Higher Productivity and Profitability through Prescriptive APM featuring LNS
According to LNS Research, companies that pursue asset performance management (APM) focused solely on reducing downtime are missing the opportunity to increase productivity and improve profitability. During this webinar, LNS Research Fellow Dan Miklovic will describe why sometimes the most reliable assets are not the most profitable assets. You’ll learn reliability management best practices for maximizing the value of your APM initiatives, including how to: 1. Identify key technologies—including predictive analytics and prescriptive analytics—that can improve the performance of your company’s assets 2. Understand the right prescriptive path to increase profitability using machine learning 3. Create a collaborative environment between maintenance and operations that is dedicated to continuous improvement. The webinar will also include case study examples of companies that have improved productivity and profitability with asset performance management. Register today!
On-Demand Webinar: Connecting the Dots from Asset Performance Management to Profitability
How are today’s industry executives maximizing the reliability and value of their assets? With asset performance management powered by the industrial internet of things and machine learning, companies can leverage both equipment and process data to extend the life of their assets and achieve optimum reliability. In this on-demand webinar presented by ARC Advisory Group Vice President Ralph Rio and AspenTech Senior VP John Hague, you’ll learn how APM 2.0 is enabling companies to break down the wall between operations and maintenance and achieve a higher return on assets.
Operations-Oriented Columns Troubleshooting for Both Aspen Plus and Aspen HYSYS
Distillation columns are troublesome units, representing one of the biggest operational challenges in the processing industry — primarily because internal conditions are dynamic and there is limited operational insight into their behavior. Offline and online advanced process simulation offers engineers and operators powerful process engineering capabilities for column analysis.
With operations-oriented columns troubleshooting, you can gain insights into key processes and enable faster problem-solving.
Model Distillation Unit Operations with a Rate-based Approach
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.
Solución de problemas de columnas con gemelos digitales en Aspen Plus y Aspen HYSYS
Las columnas de destilación son unidades problemáticas, que representan uno de los mayores desafíos operativos en la industria de procesos, principalmente porque las condiciones internas son dinámicas y hay una visión operativa limitada de su comportamiento. Los gemelos digitales online y offline ofrecen a los ingenieros y operadores poderosas capacidades para el análisis de columnas y así puedan responder a cambios operacionales de una forma más rápida.
Upstream’s Digital Future: Using Data Analytics to Drive Down Costs
Based on our recent survey, 40% of upstream companies are currently using data analytics to improve operational effectiveness. Hear Ian Lewis and Justin Jacobs from Petroleum Economist present insights from this survey of upstream industry executives during this on-demand webinar. The webinar also includes case study examples of upstream companies reducing production costs using data analytics. Find out how predictive modeling and machine learning are revolutionizing oil and gas asset economics and reducing production costs. Don’t get left behind—watch now!