Executing Front-End Engineering Design (FEED) projects has become more challenging and complicated. Multiple disciplines typically work simultaneously, sharing documents across offices and making it difficult to keep up with inevitable changes, which often lead to cost overruns and project delays. Join experts from AspenTech® and ExiEx to learn about the benefits of an integrated, data-centric workflow and see how you can:

前端工程设计（FEED）项目的执行变得越来越困难，越来越复杂，需要多个部门同时运作，跨办公室共享文件，并且难以跟上不可避免的变化，导致成本超支和项目延误。

AspenTech® experts have put together this document on top questions and answers to help you get the most value from your process simulation tools including tips and tricks that you can use immediately to reduce batch cycle times and improve overall product quality.

Reliable Plant-Complex Industrial Firms Focus on Retaining and Developing Key Talent

Chemical Engineering-Software Powers the CPI

Refining and petrochemicals producers face increased pressure to maximize margins while improving safety and sustainability. In this on-demand webinar, learn how Pan American Energy implemented a predictive maintenance solution powered by artificial intelligence to predict critical equipment failures – giving time back to production and reducing operational risk.

El lanzamiento de Aspen Hybrid Models dentro de la nueva versión de software V12 da un paso adelante para las industrias de Oil & Gas, midstream, downstream, petroquímicos y químicos especializados.

When developing its highly successful digital transformation program, a leading European energy company turned to Aspen Mtell® for predictive maintenance. After deploying Aspen Mtell on more than 50 large assets in a refinery, the company began testing the technology at a wind farm and had five early successes in predicting gear box failures.

In production environments, changing conditions means increased risk. Operating companies have been shouldering more of this risk in recent years as insurance coverage becomes less readily available.

En el mercado global actual, volátil, incierto, complejo y ambiguo (VUCA por sus siglas en inglés), todo está cambiando, y en los entornos de producción, el cambio significa un mayor riesgo. ¿Cómo pueden las organizaciones intensivas en capital minimizar su riesgo, especialmente cuando la cobertura de seguro está disponible fácilmente?