Improving drilling performance through intelligent and automated operating parameter planning
Language: Inglés Publication details: oct. 2024Description: 11 p In: World Oil| Current library | Status | Barcode | |
|---|---|---|---|
| Biblioteca Alejandro Angel Bulgheroni | Not for loan | 200070193 |
Engineers leveraged data analytics, domain knowledge, and physics and machine-learning models to generate a depth-based optimum operating parameter roadmap automatically. This workflow enables ROP improvement and the reduction of drilling risks, becoming a key element for evolution of autonomous drilling operations and well cost reduction.
10
