Method and system for predicting locations of stuck pipe events

An apparatus, comprising:

• a computer processor;
• a communication interface;
• a plurality of sensors;
• a diagnostic assembly coupled to the plurality of sensors and the computer processor, wherein the diagnostic assembly is configured to apply a predetermined amount of tension in a drill string or a work string,
• wherein the diagnostic assembly comprises an electric motor and a lead screw, and wherein the command is transmitted by a stuck pipe manager;
• and
• a memory coupled to the computer processor, wherein the memory comprises functionality for:
• obtaining, over a network connection, a command to perform a diagnostic action to the drill string or the work string,
• generating, using the plurality of sensors and the diagnostic assembly, diagnostic data based on performing the diagnostic action, and
• transmitting, over the network connection, the diagnostic data.

A system, comprising:

• a drilling rig;
• a drill string coupled to the drilling rig, the drill string comprising a plurality of pipe sections;
• a stuck pipe adapter coupled to the drill string, the stuck pipe adapter comprises a first computer processor and a communication interface, wherein the stuck pipe adapter is configured to produce a predetermined amount of tension in at least one pipe section among the plurality of pipe sections;
• and
• a stuck pipe manager coupled to the stuck pipe adapter, the stuck pipe manager comprising a second computer processor, wherein the stuck pipe manager comprises functionality for:
• obtaining well data regarding a drilling operation and stuck pipe data regarding a stuck pipe event associated with the drill string;
• determining, using the well data and the stuck pipe data, a diagnostic action for the stuck pipe event;
• transmitting a command to the stuck pipe adapter that causes the stuck pipe adapter to perform the diagnostic action;
• obtaining diagnostic data regarding the stuck pipe event in response to the stuck pipe adapter performing the diagnostic action;
• and
• determining a predicted location in the well of the stuck pipe event based on the diagnostic data and a machine-learning algorithm.