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.
信息
- 节目
- 发布时间2021年9月17日 UTC 07:00
- 长度23 分钟
- 季1
- 单集6
- 分级儿童适宜