在白皮书里，我们探讨了如何改善炼油和石化公用事业系统运营，以提高能源效率、减少排放和提高灵活性。

By eliminating conservatism in Process Safety Analyses, engineers are empowered to minimize costs without compromising safety. With aspenONE Engineering, you have access to a complete overpressure protection solution all within a product trusted for its accuracy that is intuitive and streamlined. Watch this video now to learn more. 

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.

Aspen Collaborative Demand Manager for Refining empowers companies to combine historical data and market intelligence to generate and manage accurate forecasts.

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.

Discover how to predict upsets early and receive guidance on how to manage the upsets, saving billions by avoiding plant downtime and off-spec. production.

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

This video is from the AspenTech Workshop at the ARC Industry Forum 2021 - Zeroing In On Process Health: How to Increase Availability by 20+% In 3 Months with APM.

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.

This video is from the ARC Industry Forum 2020: Predictive Maintenance Fact and Fiction - Learnings from Real Implementations Workshop presented by Chris Williams, Director, Customer Success, Aspen Technology, Inc.