This compelling interview with Technip and two other customers, provides a strong testimonial about has Aspen Economics improves work processes and business results, from process engineering to conceptual estimating to detailed estimating.

Discover how to predict equipment breakdowns and perform prescriptive maintenance using a new approach to asset performance management. In this white paper, learn how nine early adopters of prescriptive analytics have reduced unplanned downtime and improved asset reliability. Download the paper to read real stories about the bottom-line results that have been achieved—in as little as 2 ½ weeks.

Learn about AspenTech's 3 keys to a successful customer relationship: trust, effective communication and customer focus. We're shaping the strategies for our solutions around the value we deliver and the problems that we help our customers solve.

Learn how a major Middle East Refinery used AspenTech solutions to address operational issues with their crude distillation unit (CDU). This video highlights how the detailed hydraulic analysis capability in Aspen HYSYS, along with its seamless integration with the heat exchanger design & rating software Aspen EDR, helped the refinery troubleshoot a challenging operational issue with their CDU.

In this interview with ARC Advisory Group analyst Peter Reynolds, AspenTech President and CEO Antonio Pietri describes how the process industries are leveraging new technologies—including cloud computing, data analytics, and machine learning—to drive greater value from their assets.

In just a few minutes, a scheduler can simulate the addition of unplanned downtime, determine its impact, and use the sequencing algorithms to re-optimize the schedule using Aspen Plant Scheduler.

Whether particles are being formed, reduced in size, enlarged, participating in reactions, or just being separated from a fluid stream, ignoring or poorly modeling the solids processing steps may lead to lost opportunities, including cost reductions and quality improvements. The main challenges that arise when optimizing or troubleshooting a solids process include inefficient designs due to separate modeling of fluids and solids sections, overdesign of equipment, high-energy demands, reduced yields and quality variability. Modeling the solids section of a process is important for many common processes including specialty chemicals, agrochemicals, metals and mining, pharmaceuticals, biofuels and more. This paper describes the approach for incorporating granular solids and the corresponding solids processing steps when modeling processes.

En este vídeo, descubra cómo el mantenimiento predictivo de Aspen Mtell permite a LUKOIL tomar decisiones más rápido y aumentar la confiabilidad en toda la empresa.

Adaptive Process Control: sustain peak APC performance, optimize during testing, commission new controllers faster, reduce effort to re-vamp a controller, reduce skillset required, work on multiple projects in parallel, maintain adequate controller behavior. 

Definir su futuro significa construir sobre el pasado. El mundo está en constante cambio y AspenTech tiene la experiencia para prepararlo para el futuro. Lo ayudaremos a alcanzar nuevos niveles de confiabilidad, eficiencia y agilidad aprovechando el poder de la inteligencia artificial para ejecutar sus operaciones de manera más segura, ecológica, prolongada y rápida. Su futuro comienza ahora. Mire este video para saber AspenTech le ayudará a dar el siguiente paso hacia el futuro.