El tiempo de inactividad no planificado tiene un amplio impacto que afecta no solamente a la productividad y la rentabilidad de una planta sino también a la seguridad del personal y de la planta, así como a las emisiones de gases de efecto invernadero y al cumplimiento al medio ambiente. Pero, ¿qué pasaría si realmente se pudiera planificar el tiempo de inactividad? En este documento, conozca cómo los avances en machine learning y el análisis predictivo están eliminando que haya tiempo de inactividad no planificado que sea desconcertante.

With Performance Engineering, you can create plant designs that achieve business goals while optimizing energy use and lowering the carbon footprint of construction.

The 2020 International Petroleum Technology Conference in Dhahran, KSA featured some of the pioneering women of the petroleum industry.

Discover how predictive maintenance and planned downtime can deliver positive results for your company when it comes to Safety, Sustainability and Productivity.

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

Learn how Fluor created a digital twin of their entire sulfur recovery unit, including recycle streams, in a single file using Aspen HYSYS® with Sulsim. Read this case study to find out how AspenTech’s solution for SRU optimization allows users to increase production, reduce OPEX and meet emissions regulations by modeling the complexities of the SRU and the full gas plant.

AspenTech's performance engineering solution enables collaboration and efficiency across the engineering lifecycle to ensure designs that improve operations, profitability and asset effectiveness. Take a tour using this interactive infographic to see the benefits of connecting people through common tools at each step in the performance engineering workflow.

In this article, AspenTech's Paige Marie Morse delves into how digital-transformation technologies can help industrial organizations cut energy costs while reducing environmental impact. Download now to discover how AI and machine-learning technology combined can enable companies to predict asset malfunctions well in advance and have positive financial and sustainable results.

Conozca cómo se utilizó la tecnología de mantenimiento predictivo de Aspen Mtell para saber con 27 días de anticipación sobre fallas de la válvula central de una planta de plásticos especializada.

A specialty plastics plant needed a solution to reduce downtime on a problematic hypercompressor in their LDPE production process.