Learn how Process Ecology, a Calgary-based oil and gas consultancy that assists gas processing plants in the operation of their facilities, used Aspen HYSYS to model and provide operating strategies to minimize air emissions, optimize use of solvents and eliminate permit violations.

競争の激しい市場でビジネスを成長させるために、大阪に本社を置く化学品メーカーのダイセルは、特定の市場の需要を満たすために狭い分子量分布を持つポリマーを開発する必要がありました。この事例では、ダイセルがどのようにアスペンポリマーを使用してカスタムRAFT重合モデルを開発したかをご覧頂けます。このモデルにより、お客様はプロセス条件を最適化し、実験コストを削減できるようになりました。これにより、次の利点がもたらされました。

Because traditional diagnostic methods weren’t preventing equipment failures or identifying root causes of historic failures, a U.S. refinery turned to Aspen Mtell prescriptive maintenance to improve internal data science resources. Download this case study to learn how this refinery's pilot program with Aspen Mtell was able to predict failures with nearly one month of lead time, enabling planning for maintenance and rescheduling production.

Aspen Plus has been updated and improved with additional features over the last few years. From concurrent engineering to integrated solids modeling and batch modeling, experience the latest innovations in chemical process simulation. This checklist shows the addition of features and incremental improvements by version.

A global provider of knowledge-based maintenance, modifications and asset integrity services wanted to take a more data-driven approach to planned maintenance and reduce unplanned downtime to optimize lifecycle costs.

Aspen HYSYS has been updated and improved with additional features over the last few years. From concurrent engineering to integrated gas plant modeling and refinery-wide modeling to streamlined process safety analysis, experience the latest innovations in chemical process simulation. This checklist shows the addition of features and incremental improvements by version.

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.

Conozca cómo se utilizó la tecnología de mantenimiento predictivo de Aspen Mtell para saber con 27 días de anticipación sobre fallas de la válvula central de una planta de plásticos especializada.

Learn how S&B reduces estimating manhours by between 50-80% depending on project stage through use of ACCE on all bids and estimates.

If you’re like most food and beverage process manufacturers, it could take you weeks or months to sift through and interpret all your data. In an industry where quality and precision is everything, delays can result in unplanned downtime, defective batches, product recalls and cost overruns—all with the potential to negatively impact your company’s reputation and bottom line.