Innovative machine learning for drilling fluid density prediction: a novel central force search-adaptive XGBoost in HPHT environments
Oil and gas industries are facing a special dilemma when it comes to high-pressure, high-temperature (HPHT) drilling as the accurate forecasting of the drilling fluid density (DFD) is a vital factor for safe and efficient operations. Complicated relationships and inconsistencies in HPHT situations a...
Na minha lista:
| Principais autores: | , , , , , , |
|---|---|
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Frontiers Media S.A.
2024-11-01
|
| Serier: | Frontiers in Energy Research |
| Fag: | |
| Online adgang: | https://www.frontiersin.org/articles/10.3389/fenrg.2024.1411751/full |
| Tags: |
Ingen Tags, Vær først til at tagge denne postø!
|