Cierre la brecha entre la planificación y las operaciones reales con Aspen Generic Dynamic Optimization Technology (GDOT). Aspen GDOT alinea la planificación y la programación al optimizar dinámicamente y coordinar múltiples unidades de procesos en tiempo real para garantizar los mejores resultados económicos a nivel sitio de manera consistente y de minuto en minuto. ¡Descargue este brochure para descubrir cómo las empresas están minimizando el regalo de calidad de producto, aumentando la producción, mejorando el rendimiento y mucho más!

Aspen Mtell provided a nine-day advance warning of imminent kiln overheating, allowing the plant to change operating conditions and avoid an operational shutdown. Download this case study to learn more.

Aspen Petroleum Supply Chain Planner, manages the assets and economics of the petroleum distribution network to optimize performance.

Linde Engineering reduced estimating variability from 60% to 15% by adopting ACCE. They reduced their total number of estimating tools from 25 to 6.  They have integrated ACCE with 3D modeling to track project costs through detailed design and construction effectively.

Descubra cómo Aspen Mtell utiliza machine learning para reconocer patrones precisos en los datos operativos que indican degradación y fallas inminentes, mucho antes de que suceda.

In order to meet their design need of maintaining a 25% cost advantage over conventional chemical processes, the engineers at Liquid Light needed a flexible software solution to find key property data (even for non-ideal and electrolyte systems), conduct “what-if” and case analyses, model reaction systems, select solvents, and scale-up quickly and reliably. Leveraging Aspen Plus and Aspen Properties, the members of Liquid Light have been able to make meaningful predictions about system behavior, moving them closer to full scale production.

Aspen Mtell은 머신 러닝 기술을 활용하여 실제로 문제가 발생하기 전에 성능 저하와 임박한 고장을 나타내는 운전 데이터 내의 정확한 패턴을 인식합니다..

Learn how Process Ecology, a Calgary-based oil and gas consultancy that assists gas processing plants in the operation of their facilities, used Aspen HYSYS to model and provide operating strategies to minimize air emissions, optimize use of solvents and eliminate permit violations.

Learn how Maturus Optimi leveraged the aspenONE Engineering Desktop to manage business risk in a small company through affordable, scalable access to software. Maturus Optimi helped clients achieve better capital estimates during the feasibility study and early conceptual designs solved difficult process problems with access to a complete suite of best-in-class modeling tools.

Saras拥有地中海最复杂的炼油厂，每天的炼油产能为30万桶。作为数字化项目的一部分，他们正在评估如何提高资本和资产密集型炼油厂运营的可靠性。他们选择了AspenMtell，基于一个竞争性试点项目选择过程，最初的重点集中在关键炼油设备上，比如大型压缩机和水泵。 Aspen Mtell通过挖掘历史和实时操作以及维护数据来发现资产性能下降和故障发生之前的精确特征，预测未来故障并制定详细的行动以缓解或解决问题。