Abstract
The research and application results regarding the operation support by an intelligent knowledge-based system to improve operational situation awareness in the first phase of the DHRTC Water management project are presented. The knowledge acquisition and representation is the key for building such knowledgebased system. The method, so-called multilevel flow modelling (MFM) is used for representing operational knowledge and reasoning the cause and consequence given operational situations. The effectiveness of intelligent operation support based on the MFM models of a water injection system in offshore fields and the dynamic reasoning engine is illustrated with case studies. It demonstrates that the procedure of
knowledge acquisition and representation can facilitate the model builders, and ensure the quality of the models used for operational support. In addition, the dynamic reasoning capabilities are verified. The intelligent knowledge-based system can be extended and applied for other industrial sectors, e.g. sustainable energy, making efforts in energy transition for operational safety.
knowledge acquisition and representation can facilitate the model builders, and ensure the quality of the models used for operational support. In addition, the dynamic reasoning capabilities are verified. The intelligent knowledge-based system can be extended and applied for other industrial sectors, e.g. sustainable energy, making efforts in energy transition for operational safety.
| Original language | English |
|---|---|
| Publication date | 2021 |
| Number of pages | 1 |
| Publication status | Published - 2021 |
| Event | Danish Hydrocarbon Research and Technology Centre Technology Conference 2021 - Comwell Kolding, Kolding, Denmark Duration: 16 Nov 2021 → 17 Nov 2021 |
Conference
| Conference | Danish Hydrocarbon Research and Technology Centre Technology Conference 2021 |
|---|---|
| Location | Comwell Kolding |
| Country/Territory | Denmark |
| City | Kolding |
| Period | 16/11/2021 → 17/11/2021 |
