On-Demand Webinar

Streamline Your aspenONE® V12 Deployment

With the recent release of aspenONE V12, companies can now take advantage of new innovations to increase operational excellence by democratizing the application of Industrial AI and leveraging the cloud at enterprise scale. Accelerate the deployment of this breakthrough software and join AspenTech® experts as they share best practices to help you:

Case Study

Multivariate Statistical Analysis Finds the Bad Actors in Out-of-Spec Batches

Learn how a large producer of synthetic rubber used Aspen ProMV to identify the cause of ongoing quality issues with its batch products. Download the case study to read how Aspen ProMV uncovered the variables that correlated most with batch quality, resolving production problems faster to limit losses.

Case Study

Multivariate Statistical Analysis Finds Cause of Quench Oil High-Viscosity Issue

One of the world's largest chemical, plastic and refining companies used Aspen ProMV to understand and resolve production problems caused by an ongoing quench oil high-viscosity issue. In this case study, learn how Aspen ProMV enabled the company to highlight the top process variables highly correlated with viscosity issues, and quickly guided process engineers to the underlying issue to limit losses.

Case Study

How Braskem Idesa Increased Reactor Uptime by Over 20% Using Existing Data and Resources

In this case study, learn how Braskem Idesa used Aspen ProMV™ to proactively identify and correct for conditions that historically led to high reactor fouling.

On-Demand Webinar

How Petrocuyo Projects a 60% Reduction in Downstream Treatment Costs

Reprocessing off-spec product is a common, yet costly practice for companies as it uses up materials and increases production time. With first-time, on-spec quality at an unacceptably low level, Petrocuyo, an Argentinian polypropylene producer, turned to the multivariate analytics of Aspen ProMV™ to solve this issue.

On-Demand Webinar

How Braskem Idesa Reduced Their Reactor Fouling Rate by Using Multivariate Analysis and Existing Data

Improving reactor uptime is an ongoing challenge for most chemical and petrochemical organizations. During this webinar, learn how Braskem Idesa process engineers leveraged the multivariate analysis of Aspen ProMV™ to significantly extend the time between reactor cleanings and reduce fouling 100%.

On-Demand Webinar

Leverage History to Reduce Batch Cycle Time by 30% with Aspen ProMV

How can you use historical data to improve batch quality, increase yield and reduce costs? Join Dr. John MacGregor, a foremost thought leader on multivariate analysis and founder of ProSensus, as he shares how Aspen ProMV helps you solve the most complex manufacturing problems. Discover key capabilities to help you:

Video

Advanced Process Control Application Overview

Maximize profitability by maintaining optimal operating conditions 100% of the time. Increase production by up to 5%, reduce energy usage by 10% and improve yields by 3% with the most profit-hungry engine available for Advanced Process Control.

On-Demand Webinar

Learn How You Can Better Monitor Fouling Levels of Your Heat Exchangers Using Plant Digital Twin

Fouling of heat exchangers causes excessive energy consumption, large pressure loss and sometimes process outages. Inability to directly measure fouling levels for operating units compounds the problem. Learn how the advanced plant digital twin solutions from Aspen Technology enable tracking of heat exchanger fouling levels both online and offline.

On-Demand Webinar

More Than Monitoring: Make Data Driven Operational Decisions with Aspen HYSYS®

Solving operational problems and making decisions requires experience and sound engineering know-how. While traditional rules-of-thumb and heuristic approaches can help, steps for improving operations remain unclear, processes grow too complex and operations are left suboptimal. By using Aspen HYSYS®, Aspen Online and plant data from a data historian such as InfoPlus.21®, you can quickly identify issues and find solutions. Discover how to achieve reliable operations with model-backed intelligence.

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