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.

A AspenTech® desenvolveu um método para integrar modelos fenomenológicos de simulação de processos e o conhecimento do processo com IA e algoritmos de analytics. O resultado é um sistema de modelagem híbrida que oferece um modelo abrangente e preciso mais rapidamente sem exigir uma experiência significativa.

AspenTech’s Performance Engineering Solutions can help improve engineering productivity and collaboration. Download this white paper to learn how you can leverage concurrent process engineering and lifecycle project economics to be more agile in bidding, project execution and handover of digital project data to your customer.

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.

AspenTech® ha inventado un método para integrar modelos de simulación de procesos basados en primeros principios con el conocimiento en operación y algoritmos analíticos de IA. El software resultante de ello es un sistema de modelado híbrido que ofrece un modelo completo y preciso de forma más rápida sin necesidad de una experiencia significativa.

Prescriptive maintenance technology is transforming how companies increase asset availability. With more advance warning of equipment failures comes more opportunity to mitigate the negative impact of those events.

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.

Achieve savings in both engineering hours and CAPEX with modular design through the use of stanadardized designs in re-useable templates.

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.

Multiphase flow through pipes is characterized by the flow regime, liquid hold-up and pressure gradient. Accurate prediction of these flow attributes is necessary for designing and maintaining pipelines and flowlines in the oil and gas industry. Aspen HYSYS provides a number of flow correlations for modeling multiphase pipe flow. To aid the user and provide a basis for comparison, the performance of correlations for different pipeline geometries, fluids, and flow regimes was analyzed. This paper discusses these analyses.