The complete paper presents a novel methodology that merges principles of physics, data science, and uncertainty modeling to offer more-resilient and -precise solutions for managing real-time pipe-sticking occurrences. The methodology embraces diverse modes of pipe-sticking mechanisms, encompassing mechanical, geometrical, differential, key-seat, cuttings-packoff, and geomechanical factors. The independence of these parameters facilitates the prediction of mechanisms that contribute to pipe sticking.
Stuck-Pipe Indicator: Methodology
The scalable model for monitoring multiple rigs at the same time based on the proposed approach is shown in Fig. 1 above. The figure also shows different real-time insights, such as descriptive, predictive, diagnostic, and prescriptive, that can be extracted as the wells are monitored.
