White Paper

Multivariate Analytics: The Secret to Better Batch Processes

Are you struggling to effectively organize and analyze your data to troubleshoot bad batches? Multivariate analytics will quickly deliver insights that can increase batch quality, yield and throughput. Manufacturers have already realized 10 percent increase in production and 50 percent reduction in quality variability through the use of such tools. Download this paper now to learn how to get truly meaningful insights from your batch process data for optimal plant performance.

Video

Asset Analytics Root Cause Analytics Demo

Root Cause determines the weaknesses in processes so that the real cause or reason for a failure in a process can be eliminated. RCA looks upward into a process and prioritizes the weaknesses that might contribute to potential failures.

Executive Brief

Executive Brief: EPC Perspectives - Generating New Revenue Streams from Plant Operations & Maintenance

This executive brief highlights the results of a recent survey conducted with Oil & Gas Journal on how EPC firms are pursuing new sources of revenue from the operations and maintenance phases of a project lifecycle.

On-Demand Webinar

Webinar: Introducing Aspen Unified—The Next Generation of Planning & Scheduling

As refineries continue to look for new ways to gain efficiency and increase margins, we bring you Aspen Unified™ – a breakthrough solution to unite, streamline and simplify planning and scheduling.

Case Study

Shell Accelerates Planning, Improves Margins with Aspen PIMS-AO in the Cloud

Shell’s Manufacturing Margin Optimization team uses AspenTech solutions to optimize its energy and petrochemicals business, including planning and scheduling applications. In a highly collaborative global project with AspenTech, Shell successfully deployed Aspen PIMS-AO in the Cloud resulting in margin uplift, improved work-life balance and reduced IT costs. Read this case study to learn how you can improve margins with Aspen PIMS-AO in the Cloud.

Case Study

Shell Accelerates Planning, Improves Margins with Aspen PIMS-AO in the Cloud

Shell’s Manufacturing Margin Optimization team uses AspenTech solutions to optimize its energy and petrochemicals business, including planning and scheduling applications. In a highly collaborative global project with AspenTech, Shell successfully deployed Aspen PIMS-AO in the Cloud resulting in margin uplift, improved work-life balance and reduced IT costs. Read this case study to learn how you can improve margins with Aspen PIMS-AO in the Cloud.

On-Demand Webinar

ExxonMobil's Experiences Utilizing Adaptive Process Control to Deploy and Maintain APC Applications

Adaptive Process Control is changing the way major organizations like ExxonMobil build and maintain APC controllers. In this webinar, ExxonMobil experts will share the benefits they achieved by using Adaptive Process Control technology within Aspen DMC3 to deploy and maintain APC applications across their organization.

Video

Aspen Plant Scheduler with Mtell

Watch this video for an introduction of how Aspen Plant Scheduler and Aspen Mtell work together to predict and minimize the impact of downtime

Case Study

Next Generation of APC Delivers Benefits for Ethylene Manufacturer

Learn how Qenos, an Austrailian ethylene manufacturer, used Aspen DMC3 to revamp a demethaniser controller with very limited resources and achieved a 5-10% increase in cold end throughput, a 40% reduction in variability in overhead methane, and a 20% reduction in tower dP.

On-Demand Webinar

On-Demand Webinar: Improved Advanced Control Performance using DMC3™ Calibrate, featuring ExxonMobil

ExxonMobil has used Aspen DMC3 Calibrate on a wide variety of both refining and chemical units. In this presentation, ExxonMobil’s APC experts David Hokanson and Roger Hall reviewed successes and benefits of utilizing this innovative technology on a variety of processes, and its use for both new and revamp projects. They also included an overview of the number and breadth of the applications that have been completed to date.

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