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.
Podden och tillhörande omslagsbild på den här sidan tillhör Exebenus. Innehållet i podden är skapat av Exebenus och inte av, eller tillsammans med, Poddtoppen.
