Improve operational performance with real-time visualization to increase visibility, agility and responsive to production problems with performance management.

Part 4: This interview with Hafez Bharami, a PhD chemical engineering in our heat exchanger R&D team.

Part 2: Technical direction and vision. This interview with key developer Gabe Aurieoles, puts the face to the technical expertise and vision behind the EDR product.

Part 1: Improving the User Experience -  This interview with AspenTech developer Sam Neilsen, is a compelling piece to put the people behind the software with EDR.

With rising capital cost overruns and more projects falling behind schedule, EPCs need an estimating system that enables them to bid on projects precisely and efficiently. Hear Ron Beck, Director of Industry Marketing at AspenTech, describe the unique benefits of Aspen Capital Cost Estimator compared to traditional estimating approaches.

With rising capital cost overruns and more projects falling behind schedule, EPCs need an estimating system that enables them to bid on projects precisely and efficiently. Hear Ron Beck, Director of Industry Marketing at AspenTech, describe the unique benefits of Aspen Capital Cost Estimator compared to traditional estimating approaches.

第一原理モデルと、業界専門知識を備えた機械学習とを組み合わせたAspen Hybrid Modelsは、今日のプロセスエンジニアのサポート役としてインダストリアルAIの活用を広く大衆化します。 このビデオでは、Aspen Hybrid Modelsの概要をご紹介します。

See how Aspen Fidelis Reliability enables any engineer in any department to identify the cause of lost operational availability and justify important decisions.

Aspen Fidelis Reliability enables plant managers to identify the optimum approach for improving throughput at the lowest cost. In this video, see how this powerful tool can run hundreds of event-driven Monte Carlo simulations to increase the capacity of a plant and maximize ROI.

Las compañías mineras invierten fuertemente en activos para todas las etapas del proceso minero: extracción, procesamiento, refinería y distribución del mineral. Al monitorear la condición y el comportamiento de los activos y desarrollar perfiles de operaciones normales, anomalías y fallas, las herramientas de mantenimiento predictivo pueden notificar al personal sobre los problemas del equipo antes de que ocurra falla. Este documento describe cómo el mantenimiento predictivo proporciona a las organizaciones mineras la inteligencia necesaria para: