Eliminate the guesswork with reliability modeling that quantifies risk.

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.

Linde Engineering reduced estimating variability from 60% to 15% by adopting ACCE. They reduced their total number of estimating tools from 25 to 6.  They have integrated ACCE with 3D modeling to track project costs through detailed design and construction effectively.

Discover how Chevron overcame the challenge of rapidly returning APC controllers to service after unit turnarounds. Using aspenONE APC applications, Chevron reduced the effort required to maintain controller models. In addition to this, Chevron saved thousands of dollars for each day the controller would have been offline.

Learn how Tupras used the column analysis capability in Aspen HYSYS and its integration with Aspen Exchanger Design & Rating to significantly increase the column capacity and meet the required product specifications.

Download this case study to learn how a refinery in the UK used Aspen GDOT to increase middle distillate production by 10%. The closed loop optimization technology, adjusts multiple process units in real-time to maintain product consistency and improve overall refinery performance. Discover how you can drive more profitable operations with Aspen GDOT.

Conozca cómo Tupras utilizó el análisis de columnas en Aspen HYSYS en conjunto con Aspen Exchanger Design & Rating para incrementar en un 40% la capacidad de columna y al mismo tiempo cumplir con las especificaciones de calidad del producto.

Aspen ProMV helps you find the real underlying sources of variation in production processes. Learn how companies such as FMC Corporation and Mitsubishi Chemicals are using this software to stabilize quality, yield and productivity.

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。

A major transportation company responsible for delivering customer goods on time, safely and reliably, was plagued by catastrophic failures of locomotives that had gone undetected by its current reliability techniques. Using Aspen Mtell to examine data from engine lube oil samples, a leading U.S. railway was able to save millions of dollars.