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.
資訊
- 節目
- 發佈時間2021年9月17日 上午7:00 [UTC]
- 長度23 分鐘
- 季數1
- 集數6
- 年齡分級兒少適宜