Dynamisches Katalysatorlebenszyklusmodell
Anmelder: SABIC Global Technologies B.V. 🇳🇱
Details
- Veröffentlichungs-Nr.
- EP4730236
- Anmeldetag
- 16. Oktober 2024
- Veröffentlichung
- 22. April 2026
- Rechtsraum
- EP
Abstract
A dynamic catalyst lifecycle model is described. In some embodiments, real-time external data associated with a catalyst is captured. Actual operational data associated with a petrochemical plant is obtained and the catalyst is used in chemical processes at the petrochemical plant. A selectivity of the catalyst is continuously predicted under different loads and in real-time using a trained machine learning model. The actual operational data and the real-time external data are used as inputs to the trained machine learning model and the trained machine learning model is trained using an actual selectivity and historical catalyst performance.
Anmelder
- Firma
- SABIC Global Technologies B.V.
- Land
- 🇳🇱 Niederlande
Niederländische Tochtergesellschaft des saudi-arabischen Chemiekonzerns SABIC, bündelt Forschung und geistiges Eigentum für petrochemische Produkte und Kunststoffe.
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