Directional/complex wells

Stuck-Pipe Prediction Method Uses Trigger Coefficients

This 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

Fig. 1— Comprehensive Stuck-Pipe Index monitoring methodology.
Fig. 1— Comprehensive Stuck-Pipe Index monitoring methodology.
Source: SPE 222762.

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.

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