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 the Bad Actors in Light Component Losses

This petrochemical company launched an Aspen ProMV™ pilot project to investigate light component losses that go to the bottom of a fractionation column and pressurize the downstream column. Using Aspen ProMV for continuous processes, a model was developed, and bad actors that are highly correlated to the light product loss were identified. Aspen ProMV’s optimization tool was also utilized to provide better operating conditions to reduce 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

LG Chem Significantly Increases Plant Capacity and Reduces Energy Usage

LG Chem increases capacity by 15% and saves energy through heat integration using Aspen Plus®, Aspen Energy Analyzer, and Aspen Exchanger Design and Rating

Case Study

Hitachi Zosen Case Study

ACM is extremely powerful in reducing engineering time by up to 30% for new and novel processes.

Case Study

Leading Refiner Reduces Planning Run Times from Hours to Minutes and Finds Profitable Solutions

Learn how this world leader in refining reduced planning runtime from 30 hours to 90 minutes, making the process 95% faster and allowing them to respond to market changes much faster.

Case Study

Reliance Industries Ltd Troubleshoots with Aspen Plus and Saves $2.4M USD per Year

Reliance, an Indian conglomerate, built an Aspen Plus model in-house for a distillation column revamp with Aspen Plus which resulted in increased production by $2.4M/year. Learn how they saved money by building the simulations themselves and coming up with a cost-effective solution.

Case Study

Braskem Implements Aspen DMC3 to Deploy Controllers in Just Two Weeks and Immediately Accrues Benefits

Braskem is the largest petrochemical company in Latin America, the leading producer of polypropylene in the United States, and the eighth-largest resin producer worldwide. Braskem used Adaptive Process Control within Aspen DMC3 to deploy controllers in just two weeks to start accruing benefits immediately. The benefits included lowered energy usage by 20%, increased production rates and reduced process variability. Download this case study today to learn more about the benefits Braskem realized by using Aspen DMC3 and discover how to achieve these benefits at your organization.

Case Study

Perstorp Develops KPI Production Portal to Focus Organization on Meeting Plant Production Targets

Large Specialty Chemical Company develops advanced KPI production partial portal tool using Aspen InfoPlus.21 tools, building upon their extensive Aspen InfoPlus.21 installation.

Case Study

Liquid Light Achieves Process Simplification and Reduces Costs

In order to meet their design need of maintaining a 25% cost advantage over conventional chemical processes, the engineers at Liquid Light needed a flexible software solution to find key property data (even for non-ideal and electrolyte systems), conduct “what-if” and case analyses, model reaction systems, select solvents, and scale-up quickly and reliably. Leveraging Aspen Plus and Aspen Properties, the members of Liquid Light have been able to make meaningful predictions about system behavior, moving them closer to full scale production.

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