On-Demand Webinar
Optimize Hydrogen, Improve Margins with Dynamic Optimization
Hydrogen is an essential yet often limited resource for refiners, with demand increasing due to processing of renewable feedstocks. In addition, hydrogen production is very expensive, particularly with the recent rise in natural gas prices and the significant, costly CO2 emissions it generates. Now more than ever before, refiners need an effective way to manage the hydrogen supply-and-demand balance.
On-Demand Webinar
Managing Asset Health by Combining Behavior Patterns with FMEA
As it relates to asset reliability, Failure Modes and Effect Analysis (FMEA) is a process to identify potential failures in a system as well as their causes and effects. By combining predictive maintenance technology with FMEA tools, companies can associate causation with known failures and their suggested FMEA remedies – leading to earlier intervention, minimized equipment damage, fewer process interruptions and improved production yields.
Case Study
Corteva Uses Hybrid Models for More Accurate Predictions and Improved Maintenance
In this case study, learn how Corteva Agriscience, an American agricultural chemical and seed company, resolved their frequent reboiler shutdowns by using Aspen Hybrid Models™. By combining plant data and AI within an Aspen Plus® model, Corteva improved the heat transfer and duty predictions to provide guidance for a better maintenance strategy.
News Article
2022 AI Predictions from AspenTech
Bangkok Post 2022 AI predictions from AspenTech Generational workforce changes will accelerate knowledge automation Industrial data scientists emerge to facilitate industrial AI strategy AI investments shift from generic models to more precise industrial AI Executive ownership and cultural change will accelerate industrial AI deployments
Page 84 of 357