The Exebenus Machine Learning (ML) agents are designed to detect risks and help avoid problems. In this podcast, we investigate the stuck pipe agents and how they are designed to predict, in real time, high-risk conditions related to pressure differentials, wellbore geometry and hole cleaning—conditions that, without intervention, typically result in costly stuck pipe situations.
Thông Tin
- Chương trình
- Đã xuất bảnlúc 07:00 UTC 17 tháng 9, 2021
- Thời lượng23 phút
- Mùa1
- Tập6
- Xếp hạngSạch