<p>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. </p>

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.

<p>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.&nbsp;</p>

E06: Machine Learning Part 2: Stuck pipe agents

Exebenus was formed to help oil and gas operators prepare for and benefit from digitalization and automation in the oilfield. In this podcast series we will look at ideas Exebenus and our experts offers to facilitate the digital transformation.

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E06: Machine Learning Part 2: Stuck pipe agents

E06: Machine Learning Part 2: Stuck pipe agents